Paper Digest: Recent Papers on Deep Fake
Paper Digest Team extracted all recent Deep Fake related papers on our radar, and generated highlight sentences for them. The results are then sorted by relevance & date. In addition to this ‘static’ page, we also provide a real-time version of this article, which has more coverage and is updated in real time to include the most recent updates on this topic.
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TABLE 1: Paper Digest: Recent Papers on Deep Fake
| Paper | Author(s) | Source | Date | |
|---|---|---|---|---|
| 1 | Novel 59-layer Dense Inception Network for Robust Deepfake Identification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents 59-Layer Fake Dense Inception Network (FDINet59), designed to detect deepfakes contents. |
ABDULLAH ALHARBI et. al. | Scientific reports | 2025-07-07 |
| 2 | LSTM Autoencoder Based Parallel Architecture for Deepfake Audio Detection with Dynamic Residual Encoding and Feature Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study aims to enhance detection performance by addressing limitations in existing models, such as temporal inconsistencies, weak contextual representation, and reconstruction loss. A novel framework, termed Long Short-Term Memory Auto-Encoder with Dynamic Residual Difference Encoding (LSTM-AE-DRDE), is proposed to overcome these challenges. |
Priyanka Muruganandham; Govardhana Rajan Thangasamy; Sangeetha Jayaraman; Rekha Dharmarajan; | Scientific reports | 2025-07-02 |
| 3 | DDL: A Dataset for Interpretable Deepfake Detection and Localization in Real-World Scenarios Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address thispredicament, we construct a novel large-scale deepfake detection andlocalization ($\textbf{DDL}$) dataset containing over $\textbf{1.8M}$ forgedsamples and encompassing up to $\textbf{75}$ distinct deepfake methods. |
CHANGTAO MIAO et. al. | arxiv-cs.CV | 2025-06-29 |
| 4 | Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing deepfake detection methods overlook the “block effectsintroduced by compression in OSNs, which obscure deepfake artifacts, andprimarily focus on raw images, rarely encountered in real-world scenarios. Toaddress these challenges, we propose PLADA (Pay Less Attention to DeceptiveArtifacts), a novel framework designed to tackle the lack of paired data andthe ineffective use of compressed images. |
MANYI LI et. al. | arxiv-cs.CV | 2025-06-25 |
| 5 | FAME: A Lightweight Spatio-Temporal Network for Model Attribution of Face-Swap Deepfakes Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce FAME (Fake Attribution via Multilevel Embeddings), a lightweight and efficient spatio-temporal framework designed to capture subtle generative artifacts specific to different face-swap models. |
Wasim Ahmad; Yan-Tsung Peng; Yuan-Hao Chang; | arxiv-cs.CV | 2025-06-13 |
| 6 | Enhancing Deepfake Detection Using SE Block Attention with CNN Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this research, we propose a lightweight convolution neural network (CNN) with squeeze and excitation block attention (SE) for Deepfake detection. |
Subhram Dasgupta; Janelle Mason; Xiaohong Yuan; Olusola Odeyomi; Kaushik Roy; | arxiv-cs.CV | 2025-06-12 |
| 7 | Towards Physics-informed Diffusion for Anomaly Detection in Trajectories Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Given trajectory data, a domain-specific study area, and a user-defined threshold, we aim to find anomalous trajectories indicative of possible GPS spoofing (e.g., fake trajectory). |
ARUN SHARMA et. al. | arxiv-cs.LG | 2025-06-08 |
| 8 | Where The Devil Hides: Deepfake Detectors Can No Longer Be Trusted Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, this protocol raises a new security risk that can seriously undermine the trustfulness of Deepfake detectors: Once the third-party data providers insert poisoned (corrupted) data maliciously, Deepfake detectors trained on these datasets will be injected "backdoors" that cause abnormal behavior when presented with samples containing specific triggers. This is a practical concern, as third-party providers may distribute or sell these triggers to malicious users, allowing them to manipulate detector performance and escape accountability.This paper investigates this risk in depth and describes a solution to stealthily infect Deepfake detectors. |
Shuaiwei Yuan; Junyu Dong; Yuezun Li; | cvpr | 2025-06-07 |
| 9 | Towards More General Video-based Deepfake Detection Through Facial Component Guided Adaptation for Foundation Model Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The current deep generative models have enabled the creation of synthetic facial images with remarkable photorealism, raising significant societal concerns over their potential misuse. |
Yue-Hua Han; Tai-Ming Huang; Kai-Lung Hua; Jun-Cheng Chen; | cvpr | 2025-06-07 |
| 10 | SynHate: Detecting Hate Speech in Synthetic Deepfake Audio Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: By releasing SynHate and baseline code, we aim to advance robust, culturally sensitive, and multilingual solutions against synthetic hate speech. |
Rishabh Ranjan; Kishan Pipariya; Mayank Vatsa; Richa Singh; | arxiv-cs.SD | 2025-06-07 |
| 11 | Circumventing Shortcuts in Audio-visual Deepfake Detection Datasets with Unsupervised Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: As such, previous audio-only and audio-video models exploit the presence of silence in the fake videos and consequently perform worse when the leading silence is removed. To circumvent latching on such an unwanted artifact and possibly other unrevealed ones, we propose a shift from supervised to unsupervised learning by training models exclusively on real data. |
Stefan Smeu; Dragos-Alexandru Boldisor; Dan Oneata; Elisabeta Oneata; | cvpr | 2025-06-07 |
| 12 | TADA: Training-free Attribution and Out-of-Domain Detection of Audio Deepfakes Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we take a significant step forward in audio deepfake model attribution or source tracing by proposing a training-free, green AI approach based entirely on k-Nearest Neighbors (kNN). |
Adriana Stan; David Combei; Dan Oneata; Horia Cucu; | arxiv-eess.AS | 2025-06-06 |
| 13 | DeepFake Doctor: Diagnosing and Treating Audio-Video Fake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce SImple Multimodal BAseline (SIMBA), a competitive yet minimalistic approach that enables the exploration of diverse design choices. |
Marcel Klemt; Carlotta Segna; Anna Rohrbach; | arxiv-cs.MM | 2025-06-06 |
| 14 | SocialDF: Benchmark Dataset and Detection Model for Mitigating Harmful Deepfake Content on Social Media Platforms Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel LLM-based multi-factor detection approach that combines facial recognition, automated speech transcription, and a multi-agent LLM pipeline to cross-verify audio-visual cues. |
ARNESH BATRA et. al. | arxiv-cs.LG | 2025-06-05 |
| 15 | AuthGuard: Generalizable Deepfake Detection Via Language Guidance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose that incorporating language guidance can improve deepfake detection generalization by integrating human-like commonsense reasoning — such as recognizing logical inconsistencies and perceptual anomalies — alongside statistical cues. |
GUANGYU SHEN et. al. | arxiv-cs.CV | 2025-06-04 |
| 16 | DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Based on DFBench, we propose \textbf{MoA-DF}, Mixture of Agents for DeepFake detection, leveraging a combined probability strategy from multiple LMMs. |
JIARUI WANG et. al. | arxiv-cs.CV | 2025-06-03 |
| 17 | Unveiling Audio Deepfake Origins: A Deep Metric Learning And Conformer Network Approach With Ensemble Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work proposes a novel audio source tracing system combining deep metric multi-class N-pair loss with Real Emphasis and Fake Dispersion framework, a Conformer classification network, and ensemble score-embedding fusion. |
Ajinkya Kulkarni; Sandipana Dowerah; Tanel Alumae; Mathew Magimai. -Doss; | arxiv-cs.SD | 2025-06-02 |
| 18 | XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we introduce XMAD-Bench, a large-scale cross-domain multilingual audio deepfake benchmark comprising 668.8 hours of real and deepfake speech. |
IOAN-PAUL CIOBANU et. al. | arxiv-cs.SD | 2025-05-31 |
| 19 | RPRA-ADD: Forgery Trace Enhancement-Driven Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose the RPRA-ADD, an integrated Reconstruction-Perception-Reinforcement-Attention networks based forgery trace enhancement-driven robust audio deepfake detection framework. |
RUIBO FU et. al. | arxiv-cs.SD | 2025-05-31 |
| 20 | Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces ADD-GP, a few-shot adaptive framework based on a Gaussian Process (GP) classifier for Audio Deepfake Detection (ADD). |
Neta Glazer; David Chernin; Idan Achituve; Sharon Gannot; Ethan Fetaya; | arxiv-cs.SD | 2025-05-29 |
| 21 | Tell Me Habibi, Is It Real or Fake? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This linguistic mixing poses extra challenges for deepfake detection, as it can confuse models trained mostly on monolingual data. To address this, we introduce \textbf{ArEnAV}, the first large-scale Arabic-English audio-visual deepfake dataset featuring intra-utterance code-switching, dialectal variation, and monolingual Arabic content. |
KARTIK KUCKREJA et. al. | arxiv-cs.CV | 2025-05-28 |
| 22 | Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Most existing deepfake detection methods focus on general-purpose scenarios and often ignore the valuable prior knowledge of known facial identities, e.g., VIP individuals whose authentic facial data are already available. In this paper, we propose \textbf{VIPGuard}, a unified multimodal framework designed to capture fine-grained and comprehensive facial representations of a given identity, compare them against potentially fake or similar-looking faces, and reason over these comparisons to make accurate and explainable predictions. |
KAIQING LIN et. al. | arxiv-cs.CV | 2025-05-26 |
| 23 | EnvSDD: Benchmarking Environmental Sound Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In addition, existing datasets for environmental sound deepfake detection are limited in scale and audio types. To address this gap, we introduce EnvSDD, the first large-scale curated dataset designed for this task, consisting of 45.25 hours of real and 316.74 hours of fake audio. |
HAN YIN et. al. | arxiv-cs.SD | 2025-05-25 |
| 24 | Effectiveness and Optimization of Bidirectional Long Short-term Memory (BiLSTM) Based Fast Detection of Deep Fake Face Videos for Real-time Applications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This study proposes a rapid detection method for deepfake face videos designed for real-time applications using bidirectional long short-term memory (BiLSTM) networks. The aim is … |
Haoxiang Wang; | PeerJ. Computer science | 2025-05-23 |
| 25 | Multiscale Adaptive Conflict-Balancing Model For Multimedia Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Current multimodal detection methods remain limited by unbalanced learning between modalities. To tackle this issue, we propose an Audio-Visual Joint Learning Method (MACB-DF) to better mitigate modality conflicts and neglect by leveraging contrastive learning to assist in multi-level and cross-modal fusion, thereby fully balancing and exploiting information from each modality. |
Zihan Xiong; Xiaohua Wu; Lei Chen; Fangqi Lou; | arxiv-cs.CV | 2025-05-19 |
| 26 | Forensic Deepfake Audio Detection Using Segmental Speech Features Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study explores the potential of using acoustic features of segmental speech sounds to detect deepfake audio. |
Tianle Yang; Chengzhe Sun; Siwei Lyu; Phil Rose; | arxiv-cs.SD | 2025-05-19 |
| 27 | Towards Open-world Generalized Deepfake Detection: General Feature Extraction Via Unsupervised Domain Adaptation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our approach aims to transfer deepfake detection knowledge from a small amount of labeled source domain data to large-scale unlabeled target domain data. |
Midou Guo; Qilin Yin; Wei Lu; Xiangyang Luo; | arxiv-cs.CV | 2025-05-18 |
| 28 | MAVOS-DD: Multilingual Audio-Video Open-Set Deepfake Detection Benchmark Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present the first large-scale open-set benchmark for multilingual audio-video deepfake detection. |
FLORINEL-ALIN CROITORU et. al. | arxiv-cs.CV | 2025-05-16 |
| 29 | BanglaFake: Constructing and Evaluating A Specialized Bengali Deepfake Audio Dataset Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Deepfake audio detection is challenging for low-resource languages like Bengali due to limited datasets and subtle acoustic features. To address this, we introduce BangalFake, a Bengali Deepfake Audio Dataset with 12,260 real and 13,260 deepfake utterances. |
Istiaq Ahmed Fahad; Kamruzzaman Asif; Sifat Sikder; | arxiv-cs.SD | 2025-05-16 |
| 30 | $\mathcal{A}LLM4ADD$: Unlocking The Capabilities of Audio Large Language Models for Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To enhance their performance, we propose $\mathcal{A}LLM4ADD$, an ALLM-driven framework for ADD. |
HAO GU et. al. | arxiv-cs.SD | 2025-05-16 |
| 31 | ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To close the domain silo barrier, we propose ForensicHub, the first unified benchmark & codebase for all-domain fake image detection and localization. |
BO DU et. al. | arxiv-cs.CV | 2025-05-16 |
| 32 | GAN-based Synthetic FDG PET Images from T1 Brain MRI Can Serve to Improve Performance of Deep Unsupervised Anomaly Detection Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Then, we explore further impact of using these fake PET data in the training of a deep unsupervised anomaly detection (UAD) model designed to detect subtle epilepsy lesions in T1 MRI and FDG PET images. We introduce novel diagnostic task-oriented quality metrics of the synthetic FDG PET data tailored to our unsupervised detection task, then use these fake data to train a use case UAD model combining a deep representation learning based on siamese autoencoders with a OC-SVM density support estimation model. |
DARIA ZOTOVA et. al. | arxiv-eess.IV | 2025-05-12 |
| 33 | Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we consider using MTCNN as a face detector and EfficientNet-B5 as encoder model to predict if a video is deepfake or not. |
Mahmudul Hasan; Sadia Ruhama; Sabrina Tajnim Sithi; Chowdhury Mohammad Mutamir Samit; Oindrila Saha; | arxiv-cs.CV | 2025-05-10 |
| 34 | Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Under shallow inference, we propose the momentum distillation-based light punishment contrastive learning for fine-grained uniform spatial image and text semantic alignment, and an adaptive cross-modal fusion module to enhance mutual modal features. |
Ye Zhu; Yunan Wang; Zitong Yu; | arxiv-cs.CV | 2025-05-10 |
| 35 | GFADE: Generalized Feature Adaptation and Discrimination Enhancement for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid advancement of deep generative techniques, such as generative adversarial networks (GANs), the creation of realistic fake images and videos has become increasingly … |
ZhiYong Tian; Junkai Yi; | PeerJ. Computer science | 2025-05-08 |
| 36 | Learning Real Facial Concepts for Independent Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This is primarily due to an overreliance on forgery artifacts and a limited understanding of real faces. To address this challenge, we propose a novel approach RealID to enhance generalization by learning a comprehensive concept of real faces while assessing the probabilities of belonging to the real and fake classes independently. |
Ming-Hui Liu; Harry Cheng; Tianyi Wang; Xin Luo; Xin-Shun Xu; | arxiv-cs.CV | 2025-05-07 |
| 37 | Robust AI-Generated Face Detection with Imbalanced Data Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Despite recent progress, state-of-the-art deepfake detectors still face major challenges in handling distribution shifts from emerging generative models and addressing severe class imbalance between authentic and fake samples in deepfake datasets, which limits their robustness and detection accuracy. To address these challenges, we propose a framework that combines dynamic loss reweighting and ranking-based optimization, which achieves superior generalization and performance under imbalanced dataset conditions. |
YAMINI SRI KRUBHA et. al. | arxiv-cs.CV | 2025-05-04 |
| 38 | AWARE-NET: Adaptive Weighted Averaging for Robust Ensemble Network in Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In response, we propose a novel two-tier ensemble framework for deepfake detection based on deep learning that hierarchically combines multiple instances of three state-of-the-art architectures: Xception, Res2Net101, and EfficientNet-B7. |
MUHAMMAD SALMAN et. al. | arxiv-cs.CV | 2025-05-01 |
| 39 | End-to-end Audio Deepfake Detection from RAW Waveforms: A RawNet-Based Approach with Cross-Dataset Evaluation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose an end-to-end deep learning framework for audio deepfake detection that operates directly on raw waveforms. |
Andrea Di Pierno; Luca Guarnera; Dario Allegra; Sebastiano Battiato; | arxiv-cs.SD | 2025-04-29 |
| 40 | The Malicious Technical Ecosystem: Exposing Limitations in Technical Governance of AI-Generated Non-Consensual Intimate Images of Adults Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we adopt a survivor-centered approach to locate and dissect the role of sociotechnical AI governance in preventing AI-Generated Non-Consensual Intimate Images (AIG-NCII) of adults, colloquially known as deep fake pornography. |
Michelle L. Ding; Harini Suresh; | arxiv-cs.HC | 2025-04-24 |
| 41 | Towards Generalizable Deepfake Detection with Spatial-Frequency Collaborative Learning and Hierarchical Cross-Modal Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While existing methods predominantly rely on spatial domain analysis, frequency domain operations are primarily limited to feature-level augmentation, leaving frequency-native artifacts and spatial-frequency interactions insufficiently exploited. To address this limitation, we propose a novel detection framework that integrates multi-scale spatial-frequency analysis for universal deepfake detection. |
Mengyu Qiao; Runze Tian; Yang Wang; | arxiv-cs.CV | 2025-04-23 |
| 42 | Perceptual Judgments Are Resistant to The Advisor’s Perceived Level of Trustworthiness: A Deep Fake Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although the impact of trustworthiness on social behaviour is well-documented, its influence on more fundamental cognitive processes, such as perceptual decision-making, remains unclear. The present study aims to fill this gap. |
Mathias Van der Biest; Sam Verschooren; Frederick Verbruggen; Marcel Brass; | PloS one | 2025-04-16 |
| 43 | Unveiling Deepfakes with Latent Diffusion Counterfactual Explanations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel approach to enhance interpretability by generating counterfactual explanations. |
C. Yang; B. Peng; J. Dong; X. Zhang; | icassp | 2025-04-15 |
| 44 | Fooling The Forgers: A Multi-Stage Framework for Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel approach for audio deepfake detection using Generative Adversarial Networks (GANs) and contrastive learning in a multi-stage detection framework. |
G. S. Kashyap; | icassp | 2025-04-15 |
| 45 | SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by the biological concept of differential gene expression, where gene activation is dynamically regulated in response to environmental stimuli, we introduce the Selective Feature Expression Network (SFE-Net). |
Y. Li; Y. Zheng; Y. Wang; J. Yin; H. Fei; | icassp | 2025-04-15 |
| 46 | Continual Unsupervised Domain Adaptation for Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a causality-distillation-based continual domain adversarial training framework for continual UDA, called CD-DAT. |
X. Chen; | icassp | 2025-04-15 |
| 47 | Adversarial Training and Gradient Optimization for Partially Deepfake Audio Localization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing localization models for partially deepfake audio face two major challenges: distribution shifts between training and testing data as well as insufficient utilization of information from both manipulated regions and boundaries. To address these challenges, we propose to use Adversarial training and Gradient Optimization (AGO) to improve partially fake audio localization. |
S. Zeng; | icassp | 2025-04-15 |
| 48 | RAW Data: A Key Component for Effective Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Given the scarcity of large-scale datasets designed for training on raw images, we propose a methodological approach to train our model on raw image data. |
S. Husseinil; J. -L. Dugelay; | icassp | 2025-04-15 |
| 49 | Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes an audio-visual deepfake detection approach that aims to capture fine-grained temporal inconsistencies between audio and visual modalities. |
M. Astrid; E. Ghorbel; D. Aouada; | icassp | 2025-04-15 |
| 50 | Investigating Voiced and Unvoiced Regions of Speech for Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study explores the role played by the voiced and unvoiced regions of speech in discriminating synthetic from bonafide speech. |
G. Sivaraman; H. Tak; E. Khoury; | icassp | 2025-04-15 |
| 51 | Identity-Agnostic Learning for Deepfake Face Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a novel training approach called Identity-Agnostic Learning (IAL) for deepfake face detection. |
X. Zhou; Z. Deng; Q. Zhao; | icassp | 2025-04-15 |
| 52 | Integrating Spectro-Temporal Cross Aggregation and Multi-Scale Dynamic Learning for Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we designed the spectro-temporal cross aggregation (STCA) module and the local multi-scale dynamic convolution (LMDC) module to extract global and local artifacts for detecting forged information, respectively. |
Y. Hao; | icassp | 2025-04-15 |
| 53 | Towards Interactive Deepfake Analysis Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper aims to explore interactive deepfake analysis by performing instruction tuning on multi-modal large language models (MLLMs). |
L. Qin; | icassp | 2025-04-15 |
| 54 | Freeze and Learn: Continual Learning with Selective Freezing for Speech Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Still, the optimal way to apply these algorithms for speech deepfake detection remains unclear, and we do not know which is the best way to apply these algorithms to the developed models. In this paper we address this aspect and investigate whether, when retraining a speech deepfake detector, it is more effective to apply continual learning across the entire model or to update only some of its layers while freezing others. |
D. Salvi; V. Negroni; L. Bondi; P. Bestagini; S. Tubaro; | icassp | 2025-04-15 |
| 55 | Leveraging Mixture of Experts for Improved Speech Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel approach for enhancing speech deepfake detection performance using a Mixture of Experts architecture. |
V. Negroni; D. Salvi; A. I. Mezza; P. Bestagini; S. Tubaro; | icassp | 2025-04-15 |
| 56 | What Affects The Performance of Fake Audio Detection? Analyzing Factors in A Continual Learning Setting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study examines how various factors impact the performance of detection systems in a continual learning setting. |
Y. Xiao; N. T. Vu; | icassp | 2025-04-15 |
| 57 | Robust Deepfake Detection Via Perturbation Domain Alignment Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Perturbations, which can induce distortions on the original image/video, such as compression, Gaussian noise, blur, etc., tend to introduce negative impacts on the performance of deepfake detection models. Therefore, in this paper, we propose a novel deepfake detection method, named Robust Deepfake Detection via Perturbation Domain Alignment (PDA-RDD), by exploiting the mechanism of domain alignment. |
L. Lu; Y. Wang; L. Zhang; Y. Guo; | icassp | 2025-04-15 |
| 58 | FractalForensics: Proactive Deepfake Detection and Localization Via Fractal Watermarks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we propose novel fractal watermarks for proactive Deepfake detection and localization, namely FractalForensics. |
Tianyi Wang; Harry Cheng; Ming-Hui Liu; Mohan Kankanhalli; | arxiv-cs.CV | 2025-04-13 |
| 59 | From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we ask: How can we build a universal detection framework that is effective for most facial deepfakes? |
LONG MA et. al. | arxiv-cs.CV | 2025-04-07 |
| 60 | Comparative Analysis of Deepfake Detection Models: New Approaches and Perspectives Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The growing threat posed by deepfake videos, capable of manipulating realities and disseminating misinformation, drives the urgent need for effective detection methods. This work investigates and compares different approaches for identifying deepfakes, focusing on the GenConViT model and its performance relative to other architectures present in the DeepfakeBenchmark. |
Matheus Martins Batista; | arxiv-cs.CV | 2025-04-02 |
| 61 | FA^{3}-CLIP: Frequency-Aware Cues Fusion and Attack-Agnostic Prompt Learning for Unified Face Attack Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing methods struggle to simultaneously detect physical and digital attacks due to: 1) significant intra-class variations between these attack types, and 2) the inadequacy of spatial information alone to comprehensively capture live and fake cues. To address these issues, we propose a unified attack detection model termed Frequency-Aware and Attack-Agnostic CLIP (FA\textsuperscript{3}-CLIP), which introduces attack-agnostic prompt learning to express generic live and fake cues derived from the fusion of spatial and frequency features, enabling unified detection of live faces and all categories of attacks. |
YONGZE LI et. al. | arxiv-cs.CV | 2025-04-01 |
| 62 | Lightweight and Hybrid Transformer-based Solution for Quick and Reliable Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Rapid advancements in artificial intelligence and generative artificial intelligence have enabled the creation of fake images and videos that appear highly realistic. According to … |
GEETA RANI et. al. | Frontiers in big data | 2025-04-01 |
| 63 | MVFNet: Multipurpose Video Forensics Network Using Multiple Forms of Forensic Evidence Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This poses a significant issue as the manipulation used to falsify a video is not known a priori. To address this problem, we propose MVFNet – a multipurpose video forensics network capable of detecting multiple types of manipulations including inpainting, deepfakes, splicing, and editing. |
Tai D. Nguyen; Matthew C. Stamm; | arxiv-cs.CV | 2025-03-26 |
| 64 | Can Multi-modal (reasoning) LLMs Work As Deepfake Detectors? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we explore the potential of state of the art multi-modal (reasoning) large language models (LLMs) for deepfake image detection such as (OpenAI O1/4o, Gemini thinking Flash 2, Deepseek Janus, Grok 3, llama 3.2, Qwen 2/2.5 VL, Mistral Pixtral, Claude 3.5/3.7 sonnet) . |
SIMIAO REN et. al. | arxiv-cs.CV | 2025-03-25 |
| 65 | Adoption of Watermarking Measures for AI-Generated Content and Implications Under The EU AI Act Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In our legal analysis, we identify four categories of generative AI image deployment scenarios relevant under the AI Act and outline how the legal obligations apply in each category. |
Bram Rijsbosch; Gijs van Dijck; Konrad Kollnig; | arxiv-cs.CY | 2025-03-23 |
| 66 | TruthLens: Explainable DeepFake Detection for Face Manipulated and Fully Synthetic Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Detecting DeepFakes has become a crucial research area as the widespread use of AI image generators enables the effortless creation of face-manipulated and fully synthetic content, yet existing methods are often limited to binary classification (real vs. fake) and lack interpretability. To address these challenges, we propose TruthLens, a novel and highly generalizable framework for DeepFake detection that not only determines whether an image is real or fake but also provides detailed textual reasoning for its predictions. |
Rohit Kundu; Athula Balachandran; Amit K. Roy-Chowdhury; | arxiv-cs.CV | 2025-03-20 |
| 67 | TruthLens:A Training-Free Paradigm for DeepFake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Current fake image detection methods predominantly rely on binary classification models that focus on accuracy while often neglecting interpretability, leaving users without clear insights into why an image is deemed real or fake. To bridge this gap, we introduce TruthLens, a novel training-free framework that reimagines deepfake detection as a visual question-answering (VQA) task. |
Ritabrata Chakraborty; Rajatsubhra Chakraborty; Ali Khaleghi Rahimian; Thomas MacDougall; | arxiv-cs.CV | 2025-03-19 |
| 68 | Spot The Fake: Large Multimodal Model-Based Synthetic Image Detection with Artifact Explanation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Despite the effectiveness of existing methods in evaluating image authenticity and locating forgeries, these approaches often lack human interpretability and do not fully address the growing complexity of synthetic data. To tackle these challenges, we introduce FakeVLM, a specialized large multimodal model designed for both general synthetic image and DeepFake detection tasks. |
SIWEI WEN et. al. | arxiv-cs.CV | 2025-03-19 |
| 69 | ExDDV: A New Dataset for Explainable Deepfake Detection in Video Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we introduce ExDDV, the first dataset and benchmark for Explainable Deepfake Detection in Video. |
Vlad Hondru; Eduard Hogea; Darian Onchis; Radu Tudor Ionescu; | arxiv-cs.CV | 2025-03-18 |
| 70 | SONICS: Synthetic Or Not – Identifying Counterfeit Songs Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Additionally, existing datasets lack music-lyrics diversity, long-duration songs, and open-access fake songs. To address these gaps, we introduce SONICS, a novel dataset for end-to-end Synthetic Song Detection (SSD), comprising over 97k songs (4,751 hours) with over 49k synthetic songs from popular platforms like Suno and Udio. |
Md Awsafur Rahman; Zaber Ibn Abdul Hakim; Najibul Haque Sarker; Bishmoy Paul; Shaikh Anowarul Fattah; | iclr | 2025-03-17 |
| 71 | Deepfake Detection with Optimized Hybrid Model: EAR Biometric Descriptor Via Improved RCNN Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This approach introduces the robust detection of subtle ear movements and shape changes to generate ear descriptors. |
Ruchika Sharma; Rudresh Dwivedi; | arxiv-cs.CV | 2025-03-16 |
| 72 | Deepfake Detection of Face Images Based on A Convolutional Neural Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We want to address this conflict by building a model based on a Convolutions Neural Network in order to detect such generated and fake images showing human portraits. As a basis, we use a pre-trained ResNet-50 model due to its effectiveness in terms of classifying images. |
Lukas Kroiß; Johannes Reschke; | arxiv-cs.CV | 2025-03-14 |
| 73 | VoD: Learning Volume of Differences for Video-Based Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces a novel Deepfake detention framework, Volume of Differences (VoD), designed to enhance detection accuracy by exploiting temporal and spatial inconsistencies between consecutive video frames. |
Ying Xu; Marius Pedersen; Kiran Raja; | arxiv-cs.CV | 2025-03-10 |
| 74 | Discrimination of Real and Deep Fake Videos Using EEG Signals Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology can create highly realistic fabricated videos, presenting serious ethical concerns and threats of misinformation. Reliably distinguishing deepfakes from … |
M RIYYAN KHAN et. al. | Annual International Conference of the IEEE Engineering in … | 2025-03-05 |
| 75 | Detecting Deepfakes with Super-Resolution EEG Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Electroencephalogram (EEG) signals play a crucial role as biomarkers of brain activity, providing valuable insights into neural processes. The spatial resolution of EEG, … |
RAMZI AL-SHARAWI et. al. | Annual International Conference of the IEEE Engineering in … | 2025-03-05 |
| 76 | Deepfake Detection Via Knowledge Injection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Unfortunately, these methods tend to overlook the essential role of real data knowledge, which limits their generalization ability in processing the unseen real and fake data. To tackle these challenges, in this paper, we propose a simple and novel approach, named Knowledge Injection based deepfake Detection (KID), by constructing a multi-task learning based knowledge injection framework, which can be easily plugged into existing ViT-based backbone models, including foundation models. |
Tonghui Li; Yuanfang Guo; Zeming Liu; Heqi Peng; Yunhong Wang; | arxiv-cs.CV | 2025-03-04 |
| 77 | DEEPFAKE VIDEO DETECTION USING DEEPLEARNING Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: – In recent months, free software tools based on deep learning have made it easier to create believable face swaps in videos that leave few traces of manipulation, so-called … |
Y. Doke; P. Dongare; Vaibhav Marathe; Mansi Gaikwad; Mayuri Gaikwad; | International Research Journal of Modernization in … | 2025-03-04 |
| 78 | Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce Deepfake-Eval-2024, a new deepfake detection benchmark consisting of in-the-wild deepfakes collected from social media and deepfake detection platform users in 2024. |
NURIA ALINA CHANDRA et. al. | arxiv-cs.CV | 2025-03-04 |
| 79 | Deepfake Media Forensics: Status and Future Challenges Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rise of AI-generated synthetic media, or deepfakes, has introduced unprecedented opportunities and challenges across various fields, including entertainment, cybersecurity, … |
IRENE AMERINI et. al. | Journal of imaging | 2025-02-28 |
| 80 | DIN-CTS: Low-Complexity Depthwise-Inception Neural Network with Contrastive Training Strategy for Deepfake Speech Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a deep neural network approach for deepfake speech detection (DSD) based on a lowcomplexity Depthwise-Inception Network (DIN) trained with a contrastive training strategy (CTS). |
LAM PHAM et. al. | arxiv-cs.SD | 2025-02-27 |
| 81 | Exposing Face Manipulation Based on Generative Adversarial Network-Transformer and Fake Frequency Noise Traces Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, with the application of GANs and diffusion generative network algorithms, many highly realistic synthetic images are emerging, greatly increasing the potential … |
Qiaoyue Man; Young-Im Cho; | Sensors (Basel, Switzerland) | 2025-02-26 |
| 82 | Multi-View Collaborative Learning Network for Speech Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a multi-view collaborative learning network for speech deepfake detection, which jointly learns robust speech representations from both raw waveforms and spectrograms. |
KUIYUAN ZHANG et. al. | aaai | 2025-02-25 |
| 83 | Multi-modal Deepfake Detection Via Multi-task Audio-Visual Prompt Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Unfortunately, most of the existing methods tune all the parameters of the deep network with limited speech video datasets and are trained under coarse-grained consistency supervision, which hinders their generalization ability in practical scenarios. To solve these problems, in this paper, we propose the first multi-task audio-visual prompt learning method for multi-modal deepfake video detection, by exploiting multiple foundation models. |
Hui Miao; Yuanfang Guo; Zeming Liu; Yunhong Wang; | aaai | 2025-02-25 |
| 84 | Region-Based Optimization in Continual Learning for Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although current models perform well, their effectiveness diminishes when confronted with the diverse and evolving nature of real-world deepfakes. To address this issue, we propose a continual learning method named Region-Based Optimization (RegO) for audio deepfake detection. |
YUJIE CHEN et. al. | aaai | 2025-02-25 |
| 85 | FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel deepfake detection framework learning distributional disparity based on the differentiated reconstruction on real and fake images for improved generalization. |
BO WANG et. al. | aaai | 2025-02-25 |
| 86 | DiffFake: Exposing Deepfakes Using Differential Anomaly Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose DiffFake, a novel deepfake detector that approaches the detection problem as an anomaly detection task. |
Sotirios Stamnas; Victor Sanchez; | arxiv-cs.CV | 2025-02-22 |
| 87 | Lightweight Deepfake Detection Based on Multi-Feature Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study we propose an efficient and lightweight method for detecting deepfake images and videos making it suitable for devices with limited computational resources. |
Siddiqui Muhammad Yasir; Hyun Kim; | arxiv-cs.CV | 2025-02-17 |
| 88 | Generalizable Speech Deepfake Detection Via Meta-learned LoRA Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We can always train our detector with one-selected attacks and bonafide data, but an attacker can generate new attacks by just retraining his generator with a different seed. |
Janne Laakkonen; Ivan Kukanov; Ville Hautamäki; | arxiv-eess.AS | 2025-02-15 |
| 89 | CAE-Net: Generalized Deepfake Image Detection Using Convolution and Attention Mechanisms with Spatial and Frequency Domain Features Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we proposed a disjoint set-based multistage training method to address the class imbalance and devised an ensemble-based architecture \emph{CAE-Net}. |
KAFI ANAN et. al. | arxiv-cs.CV | 2025-02-15 |
| 90 | Face Deepfakes – A Comprehensive Review Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The principal aim of this survey is to contribute a thorough theoretical analysis of state-of-the-art face deepfake generation and detection methods. |
Tharindu Fernando; Darshana Priyasad; Sridha Sridharan; Arun Ross; Clinton Fookes; | arxiv-cs.CV | 2025-02-13 |
| 91 | Exploring Active Data Selection Strategies for Continuous Training in Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a method to automatically and actively select the small amount of additional data required for the continuous training of deepfake detection models in situations where deepfake detection models are regularly updated. |
Yoshihiko Furuhashi; Junichi Yamagishi; Xin Wang; Huy H. Nguyen; Isao Echizen; | arxiv-cs.CV | 2025-02-11 |
| 92 | AI-Powered Spearphishing Cyber Attacks: Fact or Fiction? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Deepfake technology, a set of deep learning algorithms that are capable of replacing the likeness or voice of one individual with another with alarming accuracy, is one of these technologies. This paper investigates the threat posed by malicious use of this technology, particularly in the form of spearphishing attacks. |
Matthew Kemp; Harsha Kalutarage; M. Omar Al-Kadri; | arxiv-cs.CR | 2025-02-02 |
| 93 | Cross Multiscale Vision Transformer for Deep Fake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our approach involved training a series of models and rigorously assessing their performance using metrics such as accuracy. |
Akhshan P; Taneti Sanjay; Chandrakala S; | arxiv-cs.CV | 2025-02-02 |
| 94 | Machine Learning Methods for Data Quality Aspects in Edge Computing Platforms IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this research, three aspects of data quality with regard to artifical intelligence (AI) have been investigated: detection of misleading fake data, especially deepfakes, data … |
Alakananda Mitra; | ||
| 95 | Localization and Detection of Deepfake Videos Based on Self-blending Method Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology, which encompasses various video manipulation techniques implemented through deep learning algorithms-such as face swapping and expression alteration-has … |
Junfeng Xu; Xintao Liu; Weiguo Lin; Wenqing Shang; Yuefeng Wang; | Scientific reports | 2025-01-31 |
| 96 | Classifying Deepfakes Using Swin Transformers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Using the Real and Fake Face Detection dataset by Yonsei University’s Computational Intelligence Photography Lab, we evaluate the Swin Transformer and hybrid models such as Swin-ResNet and Swin-KNN, focusing on their ability to identify subtle manipulation artifacts. |
Aprille J. Xi; Eason Chen; | arxiv-cs.CV | 2025-01-26 |
| 97 | Generalizable Deepfake Detection Via Effective Local-Global Feature Extraction Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Other approaches attempt to incorporate both local and global features but rely on simplistic strategies, such as cropping, which fail to capture the intricate relationships between local features. To address these limitations, we propose a novel method that effectively combines local spatial-frequency domain features with global frequency domain information, capturing detailed and holistic forgery traces. |
Jiazhen Yan; Ziqiang Li; Ziwen He; Zhangjie Fu; | arxiv-cs.CV | 2025-01-25 |
| 98 | Exploring Autonomous Methods for Deepfake Detection: A Detailed Survey on Techniques and Evaluation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Reshma Sunil; Parita Mer; Anjali Diwan; Rajesh Mahadeva; Anuj Sharma; | Heliyon | 2025-01-25 |
| 99 | A Lightweight and Interpretable Deepfakes Detection Framework Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a unified framework that exploits the power of proposed feature fusion of hybrid facial landmarks and our novel heart rate features for detection of all types of deepfakes. |
Muhammad Umar Farooq; Ali Javed; Khalid Mahmood Malik; Muhammad Anas Raza; | arxiv-cs.CV | 2025-01-21 |
| 100 | Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes an audio-visual deepfake detection approach that aims to capture fine-grained temporal inconsistencies between audio and visual modalities. |
Marcella Astrid; Enjie Ghorbel; Djamila Aouada; | arxiv-cs.CV | 2025-01-14 |
| 101 | CodecFake+: A Large-Scale Neural Audio Codec-Based Deepfake Speech Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce CodecFake+, a large-scale dataset designed to advance CodecFake detection. |
XUANJUN CHEN et. al. | arxiv-cs.SD | 2025-01-14 |
| 102 | HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In our research, we propose HFMF, a comprehensive two-stage deepfake detection framework that leverages both hierarchical cross-modal feature fusion and multi-stream feature extraction to enhance detection performance against imagery produced by state-of-the-art generative AI models. |
Anant Mehta; Bryant McArthur; Nagarjuna Kolloju; Zhengzhong Tu; | arxiv-cs.CV | 2025-01-09 |
| 103 | Vision Graph Non-Contrastive Learning for Audio Deepfake Detection with Limited Labels Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although vast amounts of audio data exist, the process of labeling samples as genuine or fake remains labor-intensive and costly. To address this challenge, we propose SIGNL (Spatio-temporal vIsion Graph Non-contrastive Learning), a novel framework that maintains high GNN performance in low-label settings. |
FALIH GOZI FEBRINANTO et. al. | arxiv-cs.SD | 2025-01-08 |
| 104 | Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We explore various deepfake methods, including face swapping, voice conversion, reenactment and lip synchronization, highlighting their applications in both benign and malicious contexts. |
Arash Dehghani; Hossein Saberi; | arxiv-cs.CR | 2025-01-07 |
| 105 | Neural Architecture Search Based Deepfake Detection Model Using YOLO Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes are intentionally created to disseminate false information or serve malicious purposes. Detecting deepfakes has become increasingly difficult due to the advancing … |
Somnath Banerjee; Bhuman Vyas; Shalini Sivasamy; Mahaboob Subhani Shaik; | International Journal of Advanced Research in Science, … | 2025-01-06 |
| 106 | Vulnerability-Aware Spatio-Temporal Learning for Generalizable and Interpretable Deepfake Video Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Additionally, these models often lack interpretability, making it difficult to understand how predictions are made. To address these issues, we propose FakeSTormer, offering two key contributions. First, we introduce a multi-task learning framework with additional spatial and temporal branches that enable the model to focus on subtle spatio-temporal artifacts. |
Dat Nguyen; Marcella Astrid; Anis Kacem; Enjie Ghorbel; Djamila Aouada; | arxiv-cs.CV | 2025-01-02 |
| 107 | Towards Interactive Deepfake Analysis Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper aims to explore interactive deepfake analysis by performing instruction tuning on multi-modal large language models (MLLMs). |
LIXIONG QIN et. al. | arxiv-cs.CV | 2025-01-02 |
| 108 | Visual Deepfake Detection: Review of Techniques, Tools, Limitations, and Future Prospects Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, rapid advancements in deepfakes (incorporating Artificial Intelligence (AI), machine, and deep learning) have updated tools and techniques for manipulating … |
NAVEED UR REHMAN AHMED et. al. | IEEE Access | 2025-01-01 |
| 109 | State-of-the-art AI-based Learning Approaches for Deepfake Generation and Detection, Analyzing Opportunities, Threading Through Pros, Cons, and Future Prospects Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Starting with a thorough examination of systematic literature review methodologies, we embark on a journey that delves into the complex technical intricacies inherent in the various techniques used for deepfake generation, comprehensively addressing the challenges faced, potential solutions available, and the nuanced details surrounding manipulation formulations. Subsequently, the paper is dedicated to accurately benchmarking leading approaches against prominent datasets, offering thorough assessments of the contributions that have significantly impacted these vital domains. |
HARSHIKA GOYAL et. al. | arxiv-cs.LG | 2025-01-01 |
| 110 | SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by the biological concept of differential gene expression, where gene activation is dynamically regulated in response to environmental stimuli, we introduce the Selective Feature Expression Network (SFE-Net). |
Yuqi Li; Yuanzhong Zheng; Yaoxuan Wang; Jianjun Yin; Haojun Fei; | arxiv-cs.MM | 2024-12-30 |
| 111 | The Public Mental Representations of Deepfake Technology: An In-depth Qualitative Exploration Through Quora Text Data Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A qualitative method has been applied to unveil patterns, correlations, and recurring themes of beliefs about the main topic, deepfake, discussed on the forum Quora. |
BARBARA CACI et. al. | PloS one | 2024-12-30 |
| 112 | Machine and Deep Learning Algorithms for Sentiment Analysis During COVID-19: A Vision to Create Fake News Resistant Society Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Informal education via social media plays a crucial role in modern learning, offering self-directed and community-driven opportunities to gain knowledge, skills, and attitudes … |
MUHAMMAD TAYYAB ZAMIR et. al. | PloS one | 2024-12-19 |
| 113 | Towards Analysis Detection of Deepfake Video Via Deep Learning Models: A Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The core of deepfake technology is the technique of altering the reality of the images and videos, where Deep Learning (DL) models can confirm the authenticity of digital media. … |
Shahad Altamimi; Walid Salameh; | 2024 International Jordanian Cybersecurity Conference (IJCC) | 2024-12-17 |
| 114 | What Constitutes A Deep Fake? The Blurry Line Between Legitimate Processing and Manipulation Under The EU AI Act Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We intend our analysis to foster the discussion on what constitutes a deep fake and to raise awareness about the pitfalls in the current AI Act transparency obligations. |
Kristof Meding; Christoph Sorge; | arxiv-cs.LG | 2024-12-13 |
| 115 | TSFF-Net: A Deep Fake Video Detection Model Based on Two-stream Feature Domain Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The code used in this study is available at: https://github.com/hwZHc/TSFF-Net.git. |
Hangchuan Zhang; Caiping Hu; Shiyu Min; Hui Sui; Guola Zhou; | PloS one | 2024-12-13 |
| 116 | Audios Don’t Lie: Multi-Frequency Channel Attention Mechanism for Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Especially in the financial and social security fields, the misuse of deepfake audios has raised serious concerns. To address this challenge, this study proposes an audio deepfake detection method based on multi-frequency channel attention mechanism (MFCA) and 2D discrete cosine transform (DCT). |
Yangguang Feng; | arxiv-cs.SD | 2024-12-12 |
| 117 | Is It The Model or The Metric — On Robustness Measures of Deeplearning Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we revisit robustness, specifically investigating the sufficiency of robust accuracy (RA), within the context of deepfake detection. |
Zhijin Lyu; Yutong Jin; Sneha Das; | arxiv-cs.LG | 2024-12-12 |
| 118 | BENet: A Cross-domain Robust Network for Detecting Face Forgeries Via Bias Expansion and Latent-space Attention Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In response to the growing threat of deepfake technology, we introduce BENet, a Cross-Domain Robust Bias Expansion Network. |
WEIHUA LIU et. al. | arxiv-cs.CV | 2024-12-10 |
| 119 | Securing Social Media Against Deepfakes Using Identity, Behavioral, and Geometric Signatures Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the generalizability of deepfake detection, there is a need for a holistic approach that can capture a broader range of facial attributes and manipulations beyond isolated artifacts. To address this, we propose a novel deepfake detection framework featuring an effective feature descriptor that integrates Deep identity, Behavioral, and Geometric (DBaG) signatures, along with a classifier named DBaGNet. |
Muhammad Umar Farooq; Awais Khan; Ijaz Ul Haq; Khalid Mahmood Malik; | arxiv-cs.CV | 2024-12-06 |
| 120 | GETAE: Graph Information Enhanced Deep Neural NeTwork Ensemble ArchitecturE for Fake News Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose to incorporate contextual and network-aware features into the detection process. |
Ciprian-Octavian Truică; Elena-Simona Apostol; Marius Marogel; Adrian Paschke; | arxiv-cs.AI | 2024-12-02 |
| 121 | Deepfake Media Generation and Detection in The Generative AI Era: A Survey and Outlook Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we survey deepfake generation and detection techniques, including the most recent developments in the field, such as diffusion models and Neural Radiance Fields. |
FLORINEL-ALIN CROITORU et. al. | arxiv-cs.CV | 2024-11-29 |
| 122 | Understanding and Improving Training-Free AI-Generated Image Detections with Vision Foundation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To further improve detection, we introduce Contrastive Blur, which enhances performance on facial images, and MINDER (MINimum distance DetEctoR), which addresses noise type bias, balancing performance across domains. |
Chung-Ting Tsai; Ching-Yun Ko; I-Hsin Chung; Yu-Chiang Frank Wang; Pin-Yu Chen; | arxiv-cs.CV | 2024-11-28 |
| 123 | The Gendered Impact of Deepfake Technology: Analyzing Digital Violence Against Women in South Korea Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes are unrealistic videos generated by deep learning technology. While this technology has advanced social media, it has also emerged as a major tool for digital crime. … |
Xiangshu Cheng; | Lecture Notes in Education Psychology and Public Media | 2024-11-26 |
| 124 | Comparative Analysis of ASR Methods for Speech Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, this connection is not yet entirely clear, and we do not know whether improved performance in ASR corresponds to higher speech deepfake detection capabilities. In this paper, we address this question through a systematic analysis. |
DAVIDE SALVI et. al. | arxiv-cs.SD | 2024-11-26 |
| 125 | MCGAN-a Cutting Edge Approach to Real Time Investigate of Multimedia Deepfake Multi Collaboration of Deep Generative Adversarial Networks with Transfer Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we utilize the powerful combination of Deep Generative Adversarial Networks (GANs) and Transfer Learning (TL) to introduce a new technique for identifying deepfakes in multimedia systems. |
SHAHID KARIM et. al. | Scientific reports | 2024-11-26 |
| 126 | Hindi Audio-video-Deepfake (HAV-DF): A Hindi Language-based Audio-video Deepfake Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Hence, this paper aims to create a first novel Hindi deep fake dataset, named “Hindi audio-video-Deepfake” (HAV-DF). |
Sukhandeep Kaur; Mubashir Buhari; Naman Khandelwal; Priyansh Tyagi; Kiran Sharma; | arxiv-cs.SD | 2024-11-23 |
| 127 | AI Threats to Politics, Elections, and Democracy: A Blockchain-Based Deepfake Authenticity Verification Framework Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The integrity of global elections is increasingly under threat from artificial intelligence (AI) technologies. As AI continues to permeate various aspects of society, its … |
M. B. E. Islam; Muhammad Haseeb; Hina Batool; Nasir Ahtasham; Zia Muhammad; | Blockchains | 2024-11-21 |
| 128 | A Statistical Analysis for Deepfake Videos Forgery Traces Recognition Followed By A Fine-tuned InceptionResNetV2 Detection Technique Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake videos are growing progressively more competent because of the rapid advancements in artificial intelligence and deep learning technology. This has led to substantial … |
Abhishek Kashyap; | Journal of forensic sciences | 2024-11-19 |
| 129 | Detecting Targeted Data Poisoning Attacks on Deep Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep neural networks (DNNs) are widely used for various facial image-recognition purposes, including facial recognition and subsequent authentication, and the detection of altered … |
Sara Newman; | ||
| 130 | LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Both data sets consist of two classes containing real and fake facial images. In our study, two lightweight deep learning models are proposed to conduct forgery detection using these images. |
Günel Jabbarlı; Murat Kurt; | arxiv-cs.CV | 2024-11-18 |
| 131 | Towards Generalizable Face Forgery Detection Via Mitigating Spurious Correlation Related Papers Related Patents Related Grants Related Venues Related Experts View |
NINGNING BAI et. al. | Neural networks : the official journal of the International … | 2024-11-17 |
| 132 | DiMoDif: Discourse Modality-information Differentiation for Audio-visual Deepfake Detection and Localization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While significant progress has been made in detecting deepfakes, the simultaneous manipulation of audio and visual modalities, sometimes at small parts or in subtle ways, presents highly challenging detection scenarios. To address these challenges, we present DiMoDif, an audio-visual deepfake detection framework that leverages the inter-modality differences in machine perception of speech, based on the assumption that in real samples — in contrast to deepfakes — visual and audio signals coincide in terms of information. |
Christos Koutlis; Symeon Papadopoulos; | arxiv-cs.CV | 2024-11-15 |
| 133 | How Good Is ChatGPT at Audiovisual Deepfake Detection: A Comparative Study of ChatGPT, AI Models and Human Perception Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we examine the detection capabilities of a large language model (LLM) (i.e., ChatGPT) to identify and account for any possible visual and auditory artifacts and manipulations in audiovisual deepfake content. |
Sahibzada Adil Shahzad; Ammarah Hashmi; Yan-Tsung Peng; Yu Tsao; Hsin-Min Wang; | arxiv-cs.CV | 2024-11-14 |
| 134 | Robust AI-Synthesized Speech Detection Using Feature Decomposition Learning and Synthesizer Feature Augmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a robust deepfake speech detection method that employs feature decomposition to learn synthesizer-independent content features as complementary for detection. |
Kuiyuan Zhang; Zhongyun Hua; Yushu Zhang; Yifang Guo; Tao Xiang; | arxiv-cs.SD | 2024-11-13 |
| 135 | Understanding Audiovisual Deepfake Detection: Techniques, Challenges, Human Factors and Perceptual Insights Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: By bridging the gap between unimodal and multimodal approaches, this paper aims to improve the effectiveness of deepfake detection strategies and guide future research in cybersecurity and media integrity. |
Ammarah Hashmi; Sahibzada Adil Shahzad; Chia-Wen Lin; Yu Tsao; Hsin-Min Wang; | arxiv-cs.CV | 2024-11-12 |
| 136 | A Multimodal Adaptive Graph-based Intelligent Classification Model for Fake News Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, studies focusing on graph-based structures using geometric deep learning are lacking. To address this challenge, we introduce the Multimodal Adaptive Graph-based Intelligent Classification (aptly referred to as MAGIC) for fake news detection. |
arxiv-cs.AI | 2024-11-09 | |
| 137 | Toward Transdisciplinary Approaches to Audio Deepfake Discernment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This perspective calls for scholars across disciplines to address the challenge of audio deepfake detection and discernment through an interdisciplinary lens across Artificial … |
Vandana P. Janeja; Christine Mallinson; | arxiv-cs.SD | 2024-11-08 |
| 138 | Impact of Fake News on Social Media Towards Public Users of Different Age Groups Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The study assesses four models using a Kaggle dataset: Random Forest, Support Vector Machine (SVM), Neural Networks, and Logistic Regression. |
Kahlil bin Abdul Hakim; Sathishkumar Veerappampalayam Easwaramoorthy; | arxiv-cs.CL | 2024-11-08 |
| 139 | CSTAN: A Deepfake Detection Network with CST Attention for Superior Generalization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the advancement of deepfake forgery technology, highly realistic fake faces have posed serious security risks to sensor-based facial recognition systems. Recent deepfake … |
Rui Yang; Kang You; Cheng Pang; Xiaonan Luo; Rushi Lan; | Sensors (Basel, Switzerland) | 2024-11-05 |
| 140 | Ensemble Based High Performance Deep Learning Models for Fake News Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our research aims to investigate different techniques within machine learning, deep learning, and ensemble learning frameworks in Arabic fake news detection. |
Mohammed E Almandouh; Mohammed F Alrahmawy; Mohamed Eisa; Mohamed Elhoseny; A S Tolba; | Scientific reports | 2024-11-04 |
| 141 | Hybrid Deep-Learning Model for Deepfake Detection in Video Using Transfer Learning Approach Related Papers Related Patents Related Grants Related Venues Related Experts View |
Raksha Pandey; A. Kushwaha; | National Academy Science Letters | 2024-10-15 |
| 142 | Enhancing Accuracy in Image Recognition for Deep Faked Images Using Convolutional Networks Compared with Decision Tree Algorithm Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This study’s main goal is to improve deep fake image identification accuracy by using convolutional neural networks (CNN) and contrasting the outcomes with decision tree … |
Chanakya A. S; Surendran. R; Sumathy Krishnan; | 2024 4th International Conference on Sustainable Expert … | 2024-10-15 |
| 143 | Capture Artifacts Via Progressive Disentangling and Purifying Blended Identities for Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, these methods lack a solid disentanglement foundation and cannot guarantee the reliability of their disentangling process. To address these issues, a Deepfake detection method based on progressive disentangling and purifying blended identities is innovatively proposed in this paper. |
Weijie Zhou; Xiaoqing Luo; Zhancheng Zhang; Jiachen He; Xiaojun Wu; | arxiv-cs.CV | 2024-10-14 |
| 144 | Countering Social Media Cybercrime Using Deep Learning: Instagram Fake Accounts Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: An online social media platform such as Instagram has become a popular communication channel that millions of people are using today. However, this media also becomes an avenue … |
Najla Alharbi; Bashayer Alkalifah; Ghaida Alqarawi; Murad A. Rassam; | Future Internet | 2024-10-11 |
| 145 | Multi-feature Fusion Based Face Forgery Detection with Local and Global Characteristics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a deepfake detection method with the ability to comprehensively analyze the forgery face features, which integrates features in the space domain, noise domain, and frequency domain, and uses the Inception Transformer to learn the mix of global and local information dynamically. |
Yuanqing Ding; Fanliang Bu; Hanming Zhai; Zhiwen Hou; Yifan Wang; | PloS one | 2024-10-10 |
| 146 | Deepfake Detection in Videos with Multiple Faces Using Geometric-fakeness Features Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In existing approaches to a deepfake detection their performance deteriorates when multiple faces are present in a video simultaneously or when there are other objects erroneously classified as faces. In our research we propose to use geometric-fakeness features (GFF) that characterize a dynamic degree of a face presence in a video and its per-frame deepfake scores. |
Kirill Vyshegorodtsev; Dmitry Kudiyarov; Alexander Balashov; Alexander Kuzmin; | arxiv-cs.CV | 2024-10-10 |
| 147 | Herd Mentality in Augmentation — Not A Good Idea! A Robust Multi-stage Approach Towards Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose an enhanced architecture based on the GenConViT model, which incorporates weighted loss and update augmentation techniques and includes masked eye pretraining. |
Rohan Raju Dhanakshirur; | arxiv-cs.CV | 2024-10-07 |
| 148 | SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Moreover, the black-box nature of existing models limits their use in real-world scenarios, where explanations are required for model decisions. To alleviate these issues, we introduce a new ADD model that explicitly uses the Style-LInguistics Mismatch (SLIM) in fake speech to separate them from real speech. |
Yi Zhu; Surya Koppisetti; Trang Tran; Gaurav Bharaj; | nips | 2024-10-07 |
| 149 | Can We Leave Deepfake Data Behind in Training Deepfake Detector? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we rethink the role of blendfake in detecting deepfakes and formulate the process from real to blendfake to deepfake to be a $\textit{progressive transition}$. |
JIKANG CHENG et. al. | nips | 2024-10-07 |
| 150 | A Destructive Active Defense Algorithm for Deepfake Face Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The harm caused by deepfake face images is increasing. To proactively defend against this threat, this paper innovatively proposes a destructive active defense algorithm for … |
Yang Yang; Norisma Binti Idris; Chang Liu; Hui Wu; Dingguo Yu; | PeerJ. Computer science | 2024-10-04 |
| 151 | Malak: AI-based Multilingual Personal Assistant to Combat Misinformation and Generative AI Safety Issues Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The widespread use of AI technologies to generate digital content has led to increased misinformation and online harm. Deep fake technologies, a type of AI, make it easier to … |
Farnaz Farid; Farhad Ahamed; | ArXiv | 2024-10-04 |
| 152 | A Multimodal Framework for Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Using our proposed models for video and audio classification i.e. Artificial Neural Network and VGG19, the overall sample is classified as deepfake if either component is identified as such. |
KASHISH GANDHI et. al. | arxiv-cs.CV | 2024-10-04 |
| 153 | Social Media Authentication and Combating Deepfakes Using Semi-fragile Invisible Image Watermarking Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In response, we have proposed a semi-fragile image watermarking technique that embeds an invisible secret message into real images for media authentication. |
Aakash Varma Nadimpalli; Ajita Rattani; | arxiv-cs.CV | 2024-10-02 |
| 154 | DSViT: An Enhanced Transformer Model for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid development of artificial intelligence and deep learning models has enabled the creation of highly realistic fake images and videos, posing significant threats to … |
Phạm Minh Thuấn; Bùi Thu Lam; Phạm Duy Trung; | Journal of Science and Technology on Information security | 2024-10-01 |
| 155 | Common Sense Reasoning for Deep Fake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a new annotated dataset and propose a Vision and Language Transformer-based framework for the DD-VQA task. |
Yue Zhang; Ben Colman; Xiao Guo; Ali Shahriyari; Gaurav Bharaj; | eccv | 2024-09-30 |
| 156 | A Review on Deepfake Generation and Detection Based on Deep Learning: Approaches, and Future Challenges Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, applications of deepfake, particularly to achieve political, economic, or social reputation aims, have been become widespread. These applications do not require … |
I. Mishkhal; Nibras Abdullah; Aman Jantan; Fadratul Hassan1; | Iraqi Journal for Applied Sciences | 2024-09-30 |
| 157 | Real Appearance Modeling for More General Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Namely, detectors should learn consistent real appearances rather than fake patterns in the training set that may not apply to unseen deepfakes. Guided by this principle, we propose a learning task named Real Appearance Modeling (RAM) that guides the model to learn real appearances by recovering original faces from slightly disturbed faces. |
JIAHE TIAN et. al. | eccv | 2024-09-30 |
| 158 | Fake It Till You Make It: Curricular Dynamic Forgery Augmentations Towards General Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a novel general deepfake detection method, called Curricular Dynamic Forgery Augmentation (CDFA), which jointly trains a deepfake detector with a forgery augmentation policy network. |
YUZHEN LIN et. al. | eccv | 2024-09-30 |
| 159 | Contrasting Deepfakes Diffusion Via Contrastive Learning and Global-Local Similarities Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we propose CoDE (Contrastive Deepfake Embeddings), a novel embedding space specifically designed for deepfake detection.To sustain the training of our model, we generate a comprehensive dataset that focuses on images generated by diffusion models and encompasses a collection of 9.2 million images produced by using four different generators. |
LORENZO BARALDI et. al. | eccv | 2024-09-30 |
| 160 | SecureVision: Advanced Cybersecurity Deepfake Detection with Big Data Analytics Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: SecureVision is an advanced and trustworthy deepfake detection system created to tackle the growing threat of ‘deepfake’ movies that tamper with media, undermine public trust, and … |
Naresh Kumar; Ankit Kundu; | Sensors (Basel, Switzerland) | 2024-09-29 |
| 161 | A Comparative Analysis of Machine Learning and Deep Learning Approaches in Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes refer to the visual media where the faces, bodily movements have been digitally altered using some software or program, this has proven to be more of a double edged … |
Mudit Vashistha; Sarthak Jain; Shubham Pandey; Aryan Pradhan; Sandhya Tarwani; | 2024 IEEE Region 10 Symposium (TENSYMP) | 2024-09-27 |
| 162 | Wavelet-Driven Generalizable Framework for Deepfake Face Forgery Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The evolution of digital image manipulation, particularly with the advancement of deep generative models, significantly challenges existing deepfake detection methods, especially when the origin of the deepfake is obscure. To tackle the increasing complexity of these forgeries, we propose \textbf{Wavelet-CLIP}, a deepfake detection framework that integrates wavelet transforms with features derived from the ViT-L/14 architecture, pre-trained in the CLIP fashion. |
Lalith Bharadwaj Baru; Rohit Boddeda; Shilhora Akshay Patel; Sai Mohan Gajapaka; | arxiv-cs.CV | 2024-09-26 |
| 163 | Freeze and Learn: Continual Learning with Selective Freezing for Speech Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Still, the optimal way to apply these algorithms for speech deepfake detection remains unclear, and we do not know which is the best way to apply these algorithms to the developed models. In this paper we address this aspect and investigate whether, when retraining a speech deepfake detector, it is more effective to apply continual learning across the entire model or to update only some of its layers while freezing others. |
Davide Salvi; Viola Negroni; Luca Bondi; Paolo Bestagini; Stefano Tubaro; | arxiv-cs.SD | 2024-09-26 |
| 164 | A Hybrid Quantum-Classical AI-Based Detection Strategy for Generative Adversarial Network-Based Deepfake Attacks on An Autonomous Vehicle Traffic Sign Classification System Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, the authors present how a generative adversarial network-based deepfake attack can be crafted to fool the AV traffic sign classification systems. |
M Sabbir Salek; Shaozhi Li; Mashrur Chowdhury; | arxiv-cs.AI | 2024-09-25 |
| 165 | Leveraging Mixture of Experts for Improved Speech Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel approach for enhancing speech deepfake detection performance using a Mixture of Experts architecture. |
Viola Negroni; Davide Salvi; Alessandro Ilic Mezza; Paolo Bestagini; Stefano Tubaro; | arxiv-cs.SD | 2024-09-24 |
| 166 | Detection of Frauds in Deep Fake Using Deep Learning Related Papers Related Patents Related Grants Related Venues Related Experts View |
OSIPILLI APARNA et. al. | IPDIMS 2023 | 2024-09-23 |
| 167 | Room Impulse Responses Help Attackers to Evade Deep Fake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper investigates the effectiveness of utilizing room impulse responses (RIRs) to enhance fake speech and increase their likelihood of evading fake speech detection systems. |
Hieu-Thi Luong; Duc-Tuan Truong; Kong Aik Lee; Eng Siong Chng; | arxiv-eess.AS | 2024-09-23 |
| 168 | A Comprehensive Survey with Critical Analysis for Deepfake Speech Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: From our analysis, we propose hypotheses on leveraging and combining specific deep learning techniques to improve the effectiveness of Deepfake Speech Detection systems. Beyond conducting a survey, we perform extensive experiments to validate these hypotheses and propose a highly competitive model for the task of Deepfake Speech Detection. |
LAM PHAM et. al. | arxiv-cs.SD | 2024-09-23 |
| 169 | Deep Learning Technology for Face Forgery Detection: A Survey Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an overview of deepfake techniques and analyse the characteristics of various deepfake datasets. |
LIXIA MA et. al. | arxiv-cs.CV | 2024-09-21 |
| 170 | Improving Synthetic Media Generation and Detection Using Generative Adversarial Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The article introduces an effective framework for both image manipulation and detection. |
Rabbia Zia; Mariam Rehman; Afzaal Hussain; Shahbaz Nazeer; Maria Anjum; | PeerJ. Computer science | 2024-09-20 |
| 171 | Detection of Deepfake Images and Videos Using SVM, CNN, and Hybrid Approaches Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The proliferation of deepfake technology, driven by advancements in artificial intelligence, particularly generative adversarial networks (GANs), has introduced new challenges in … |
Ivan Stankov; E. Dulgerov; | 2024 XXXIII International Scientific Conference Electronics … | 2024-09-17 |
| 172 | Shaking The Fake: Detecting Deepfake Videos in Real Time Via Active Probes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose SFake, a new real-time deepfake detection method that innovatively exploits deepfake models’ inability to adapt to physical interference. |
Zhixin Xie; Jun Luo; | arxiv-cs.CV | 2024-09-17 |
| 173 | SafeEar: Content Privacy-Preserving Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose SafeEar, a novel framework that aims to detect deepfake audios without relying on accessing the speech content within. |
XINFENG LI et. al. | arxiv-cs.CR | 2024-09-13 |
| 174 | D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA Under Transferable Imperceptible Adversarial Attack Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recent research has proposed a D-CAPTCHA system based on the challenge-response protocol to differentiate fake phone calls from real ones. In this work, we study the resilience of this system and introduce a more robust version, D-CAPTCHA++, to defend against fake calls. |
Hong-Hanh Nguyen-Le; Van-Tuan Tran; Dinh-Thuc Nguyen; Nhien-An Le-Khac; | arxiv-cs.CR | 2024-09-11 |
| 175 | 1M-Deepfakes Detection Challenge Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Based on the recently released AV-Deepfake1M dataset, which contains more than 1 million manipulated videos across more than 2,000 subjects, we introduce the 1M-Deepfakes Detection Challenge. |
ZHIXI CAI et. al. | arxiv-cs.CV | 2024-09-10 |
| 176 | VoiceWukong: Benchmarking Deepfake Voice Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing datasets are limited in language diversity and lack many manipulations encountered in real-world production environments. To fill this gap, we propose VoiceWukong, a benchmark designed to evaluate the performance of deepfake voice detectors. |
Ziwei Yan; Yanjie Zhao; Haoyu Wang; | arxiv-cs.SD | 2024-09-10 |
| 177 | Continuous Learning of Transformer-based Audio Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper proposes a novel framework for audio deepfake detection with two main objectives: i) attaining the highest possible accuracy on available fake data, and ii) effectively … |
Tuan Duy Nguyen Le; Kah Kuan Teh; H. D. Tran; | ArXiv | 2024-09-09 |
| 178 | Taming The Faceless Beast: Legislating Deepfake Technology Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Objective: To deal with the potential deepfake abilities demonstrated by its diverse applications, legal systems have the choice to block this technology completely, allow it and … |
Abdulaziz Saleh Alobud; | مجلة الحقوق | 2024-09-08 |
| 179 | Deepfake: Definitions, Performance Metrics and Standards, Datasets, and A Meta-review IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advancements in AI, especially deep learning, have contributed to a significant increase in the creation of new realistic-looking synthetic media (video, image, and audio) … |
Enes Altuncu; Virginia N L Franqueira; Shujun Li; | Frontiers in big data | 2024-09-04 |
| 180 | Active Fake: DeepFake Camouflage Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This tactic is called DeepFake Camouflage. To achieve this, we introduce a new framework for creating DeepFake camouflage that generates blending inconsistencies while ensuring imperceptibility, effectiveness, and transferability. |
Pu Sun; Honggang Qi; Yuezun Li; | arxiv-cs.CV | 2024-09-04 |
| 181 | Performance Analysis on Deep Fake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A deepfake is a type of synthetic media, image, video or audio of a person in which their physiognomy has been digitally altered, using artificial intelligence, particularly deep … |
Stéphane Monteiro; C. Wanzeller; Filipe Caldeira; | Communications of the IBIMA | 2024-09-03 |
| 182 | Deepfake Detection: Enhancing Performance with Spatiotemporal Texture and Deep Learning Feature Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View |
Abdelwahab Almestekawy; H. Zayed; Ahmed Taha; | Egyptian Informatics Journal | 2024-09-01 |
| 183 | HarmoNet: Partial DeepFake Detection Network Based on Multi-scale HarmoF0 Feature Fusion Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Audio DeepFake detection (ADD) has become an increasingly challenging task recently, with the rise of various spoofing attacks utilizing artificially generated audio. The track 2 … |
Liwei Liu; Huihui Wei; Dongya Liu; Zhonghua Fu; | Interspeech 2024 | 2024-09-01 |
| 184 | How to Detect Fake Online Physician Reviews: A Deep Learning Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Yet, distinguishing between genuine and fake reviews poses a significant challenge. This study aims to address the challenges delineated above by developing a reliable and effective fake review detection model leveraging deep learning approaches based on a fake review dataset tailored to the context of Chinese online medical platforms. |
Yuehua Zhao; Tianyi Li; Qinjian Yuan; Sanhong Deng; | Digital health | 2024-08-30 |
| 185 | Detection of Real-time Deep Fakes and Face Forgery in Video Conferencing Employing Generative Adversarial Networks Related Papers Related Patents Related Grants Related Venues Related Experts View |
Sunil Kumar Sharma; Abdullah AlEnizi; Manoj Kumar; Osama Alfarraj; Majed Alowaidi; | Heliyon | 2024-08-29 |
| 186 | Temporal Feature Prediction in Audio–Visual Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid growth of deepfake technology, generating realistic manipulated media, poses a significant threat due to potential misuse. Therefore, effective detection methods are … |
Yuan Gao; Xuelong Wang; Yu Zhang; Ping Zeng; Yingjie Ma; | Electronics | 2024-08-29 |
| 187 | SONICS: Synthetic Or Not – Identifying Counterfeit Songs Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The recent surge in AI-generated songs presents exciting possibilities and challenges. While these inventions democratize music creation, they also necessitate the ability to … |
Md Awsafur Rahman; Zaber Ibn Abdul Hakim; Najibul Haque Sarker; Bishmoy Paul; S. Fattah; | ArXiv | 2024-08-26 |
| 188 | SONICS: Synthetic Or Not — Identifying Counterfeit Songs Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Additionally, existing datasets lack music-lyrics diversity, long-duration songs, and open-access fake songs. To address these gaps, we introduce SONICS, a novel dataset for end-to-end Synthetic Song Detection (SSD), comprising over 97k songs (4,751 hours) with over 49k synthetic songs from popular platforms like Suno and Udio. |
Md Awsafur Rahman; Zaber Ibn Abdul Hakim; Najibul Haque Sarker; Bishmoy Paul; Shaikh Anowarul Fattah; | arxiv-cs.SD | 2024-08-26 |
| 189 | Analyzing The Impact of Splicing Artifacts in Partially Fake Speech Signals Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our findings reveal that by analyzing splicing artifacts, we can achieve a detection EER of 6.16% and 7.36% on PartialSpoof and HAD datasets, respectively, without needing to train any detector. |
Viola Negroni; Davide Salvi; Paolo Bestagini; Stefano Tubaro; | arxiv-cs.SD | 2024-08-25 |
| 190 | Exploring The Role of Audio in Multimodal Misinformation Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Based on the constructed framework, this paper explores the importance of the audio modality in multimodal misinformation detection tasks on social media. |
MOYANG LIU et. al. | arxiv-cs.MM | 2024-08-22 |
| 191 | MAGE: Machine-generated Text Detection in The Wild IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we build a comprehensive testbed by gathering texts from diverse human writings and deepfake texts generated by different LLMs. |
YAFU LI et. al. | acl | 2024-08-20 |
| 192 | Does Current Deepfake Audio Detection Model Effectively Detect ALM-based Deepfake Audio? Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper investigate the effectiveness of current countermeasure (CM) against ALM-based audio. |
YUANKUN XIE et. al. | arxiv-cs.SD | 2024-08-20 |
| 193 | A Noval Feature Via Color Quantisation for Fake Audio Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a noval feature extraction method via color quantisation which constrains the reconstruction to use a limited number of colors for the spectral image-like input. |
ZHIYONG WANG et. al. | arxiv-cs.SD | 2024-08-20 |
| 194 | ASASVIcomtech: The Vicomtech-UGR Speech Deepfake Detection and SASV Systems for The ASVspoof5 Challenge Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the work carried out by the ASASVIcomtech team, made up of researchers from Vicomtech and University of Granada, for the ASVspoof5 Challenge. |
JUAN M. MARTÍN-DOÑAS et. al. | arxiv-eess.AS | 2024-08-19 |
| 195 | A New Approach for Deepfake Detection with The Choquet Fuzzy Integral Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes have become widespread and have continued to develop rapidly in recent years. In addition to the use of deepfakes in movies and for humorous purposes, this technology … |
Mehmet Karaköse; Ismail Ilhan; Hasan Yetiş; Serhat Ataş; | Applied Sciences | 2024-08-16 |
| 196 | Penny-Wise and Pound-Foolish in Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper critiques the overly specialized approach of fine-tuning pre-trained models solely with a penny-wise objective on a single deepfake dataset, while disregarding the pound-wise balance for generalization and knowledge retention. To address this Penny-Wise and Pound-Foolish issue, we propose a novel learning framework (PoundNet) for generalization of deepfake detection on a pre-trained vision-language model. |
Yabin Wang; Zhiwu Huang; Su Zhou; Adam Prugel-Bennett; Xiaopeng Hong; | arxiv-cs.CV | 2024-08-15 |
| 197 | GazeForensics: DeepFake Detection Via Gaze-guided Spatial Inconsistency Learning Related Papers Related Patents Related Grants Related Venues Related Experts View |
Qinlin He; Chunlei Peng; Decheng Liu; Nannan Wang; Xinbo Gao; | Neural networks : the official journal of the International … | 2024-08-14 |
| 198 | Daily Briefing: Deepfakes Hawk Fake Drugs Using Scientists’ Faces Related Papers Related Patents Related Grants Related Venues Related Experts View |
Flora Graham; | Nature | 2024-08-13 |
| 199 | Detecting Audio-Visual Deepfakes with Fine-Grained Inconsistencies Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Herein, we propose the introduction of fine-grained mechanisms for detecting subtle artifacts in both spatial and temporal domains. |
Marcella Astrid; Enjie Ghorbel; Djamila Aouada; | arxiv-cs.CV | 2024-08-13 |
| 200 | IDRetracor: Towards Visual Forensics Against Malicious Face Swapping Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To achieve visual forensics and target face attribution, we propose a novel task named face retracing, which considers retracing the original target face from the given fake one via inverse mapping. |
JIKANG CHENG et. al. | arxiv-cs.CV | 2024-08-13 |
| 201 | The DeepSpeak Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe a large-scale dataset – DeepSpeak – of real and deepfake footage of people talking and gesturing in front of their webcams. |
Sarah Barrington; Matyas Bohacek; Hany Farid; | arxiv-cs.CV | 2024-08-09 |
| 202 | ADD 2023: Towards Audio Deepfake Detection and Analysis in The Wild Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The ADD 2023 challenge goes beyond binary real/fake classification by emulating real-world scenarios, such as the identification of manipulated intervals in partially fake audio and determining the source responsible for generating any fake audio, both with real-life implications, notably in audio forensics, law enforcement, and construction of reliable and trustworthy evidence. To further foster research in this area, in this article, we describe the dataset that was used in the fake game, manipulation region location and deepfake algorithm recognition tracks of the challenge. |
JIANGYAN YI et. al. | arxiv-eess.AS | 2024-08-09 |
| 203 | Pluggable Watermarking of Deepfake Models for Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we propose a pluggable and efficient active model watermarking framework for Deepfake detection. |
HAN BAO et. al. | ijcai | 2024-08-03 |
| 204 | Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Consequently, existing Deepfake detection methods struggle to detect unknown domain Deepfake videos while accurately locating the tampered region. To address this limitation, we propose Delocate, a novel Deepfake detection model that can both recognize and localize unknown domain Deepfake videos. |
JUAN HU et. al. | ijcai | 2024-08-03 |
| 205 | IFakeDetector: Real Time Integrated Web-based Deepfake Detection System Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we developed a real time integrated web-based deepfake detection system, iFakeDetector, which incorporates the recent high performing deepfake detectors, and enables easy access for non-expert users to evaluate deepfake videos. |
Kangjun Lee; Inho Jung; Simon S. Woo; | ijcai | 2024-08-03 |
| 206 | Multiple Contexts and Frequencies Aggregation Network ForDeepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose an efficient network for face forgery detection named MkfaNet, which consists of two core modules. |
Zifeng Li; Wenzhong Tang; Shijun Gao; Shuai Wang; Yanxiang Wang; | arxiv-cs.CV | 2024-08-03 |
| 207 | Contextual Cross-Modal Attention for Audio-Visual Deepfake Detection and Localization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel multi-modal attention framework based on recurrent neural networks (RNNs) that leverages contextual information for audio-visual deepfake detection. |
Vinaya Sree Katamneni; Ajita Rattani; | arxiv-cs.SD | 2024-08-02 |
| 208 | Deep Learning and Fusion Mechanism-based Multimodal Fake News Detection Methodologies: A Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Today, detecting fake news has become challenging as anyone can interact by freely sending or receiving electronic information. Deep learning processes to detect multimodal fake … |
I. Q. Abduljaleel; Israa H. Ali; | Engineering, Technology & Applied Science Research | 2024-08-02 |
| 209 | Swin-Fake: A Consistency Learning Transformer-Based Deepfake Video Detector Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake has become an emerging technology affecting cyber-security with its illegal applications in recent years. Most deepfake detectors utilize CNN-based models such as the … |
Liang Yu Gong; Xue Jun Li; P. H. Chong; | Electronics | 2024-08-01 |
| 210 | Fake News or Real? Detecting Deepfake Videos Using Geometric Facial Structure and Graph Neural Network Related Papers Related Patents Related Grants Related Venues Related Experts View |
Shahela Saif; Samabia Tehseen; Syed Sohaib Ali; | Technological Forecasting and Social Change | 2024-08-01 |
| 211 | Exploring Deepfake Detection: Techniques, Datasets and Challenges Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: : Deepfake detection is an active area of research due to extensive use of deepfake media for spreading false information, manipulate public opinion and cause harm to individuals. … |
Preeti Rana; Sandhya Bansal; | International Journal of Computing and Digital Systems | 2024-08-01 |
| 212 | Real-Time Fake News Detection Using Big Data Analytics and Deep Neural Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In today’s fast-paced world, the Internet has become a prevalent source of information for people worldwide. With the increasing use of various applications, people can get … |
Muhammad Babar; Awais Ahmad; M. Tariq; Sarah Kaleem; | IEEE Transactions on Computational Social Systems | 2024-08-01 |
| 213 | Conditioned Prompt-Optimization for Continual Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces Prompt2Guard, a novel solution for exemplar-free continual deepfake detection of images, that leverages Vision-Language Models (VLMs) and domain-specific multimodal prompts. |
Francesco Laiti; Benedetta Liberatori; Thomas De Min; Elisa Ricci; | arxiv-cs.CV | 2024-07-31 |
| 214 | Assessing The Effectiveness of Network Security Tools in Mitigating The Impact of Deepfakes AI on Public Trust in Media Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rising threat of deepfake technology challenges public trust in media, necessitating robust countermeasures. This study proposes the Anti-DFK framework, a comprehensive … |
Amaka Debie Samuel-Okon; Oluwaseun Ibrahim Akinola; O. O. Olaniyi; O. O. Olateju; Samson Abidemi Ajayi; | Archives of Current Research International | 2024-07-27 |
| 215 | Real-Time Deepfake Video Detection Using Eye Movement Analysis with A Hybrid Deep Learning Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology uses artificial intelligence to create realistic but false audio, images, and videos. Deepfake technology poses a significant threat to the authenticity of … |
Muhammad Javed; Zhaohui Zhang; Fida Hussain Dahri; Asif Ali Laghari; | Electronics | 2024-07-26 |
| 216 | Deep Fake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Abstract—The following paper considers an in-depth study of face detection and classification using a pre-trained VGG16 model with a prime focus on separating real from fake … |
Daksh Baveja,; Yatharth Sharma; Dr. Nagadevi S; | INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING … | 2024-07-20 |
| 217 | Deep Fake Detection Using An Optimal Deep Learning Model with Multi Head Attention-based Feature Extraction Scheme Related Papers Related Patents Related Grants Related Venues Related Experts View |
R. Sekar; T. Rajkumar; Koteswara Rao Anne; | The Visual Computer | 2024-07-17 |
| 218 | Statistics-aware Audio-visual Deepfake Detector Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an enhanced audio-visual deep detection method. |
Marcella Astrid; Enjie Ghorbel; Djamila Aouada; | arxiv-cs.CV | 2024-07-16 |
| 219 | Exploring The Impact of Moire Pattern on Deepfake Detectors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we investigate how camera-captured deepfake videos from digital screens affect detector performance. |
Razaib Tariq; Shahroz Tariq; Simon S. Woo; | arxiv-cs.CV | 2024-07-14 |
| 220 | Video and Audio Deepfake Datasets and Open Issues in Deepfake Technology: Being Ahead of The Curve Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The revolutionary breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) are extensively being harnessed across a diverse range of domains, e.g., forensic … |
Zahid Akhtar; Thanvi Lahari Pendyala; Virinchi Sai Athmakuri; | Forensic Sciences | 2024-07-13 |
| 221 | A Bibliometric Analysis of Deepfakes : Trends, Applications and Challenges Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: INTRODUCTION: The rapid progress in artificial intelligence (AI) over the past decade has ushered in a new era of transformative technologies. Deep learning has emerged as a … |
Diya Garg; Rupali Gill; | ICST Transactions on Scalable Information Systems | 2024-07-12 |
| 222 | Source Tracing of Audio Deepfake Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce a system designed to classify various spoofing attributes, capturing the distinctive features of individual modules throughout the entire generation pipeline. |
Nicholas Klein; Tianxiang Chen; Hemlata Tak; Ricardo Casal; Elie Khoury; | arxiv-eess.AS | 2024-07-10 |
| 223 | Targeted Augmented Data for Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To enhance the generalization capabilities of audio deepfake detectors, we propose a novel augmentation method for generating audio pseudo-fakes targeting the decision boundary of the model. |
Marcella Astrid; Enjie Ghorbel; Djamila Aouada; | arxiv-cs.SD | 2024-07-10 |
| 224 | Synthetic Speech Detection Using Deep Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, the proliferation of synthetic speech has raised concerns regarding its potential misuse for unethical activities including voice impersonation and deep fake … |
Irina Mutica; Serban Mihalache; D. Burileanu; | 2024 47th International Conference on Telecommunications … | 2024-07-10 |
| 225 | Learning Self-distilled Features for Facial Deepfake Detection Using Visual Foundation Models: General Results and Demographic Analysis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Modern deepfake techniques produce highly realistic false media content with the potential for spreading harmful information, including fake news and incitements to violence. … |
Y. M. B. G. CUNHA et. al. | J. Interact. Syst. | 2024-07-09 |
| 226 | The Tug-of-War Between Deepfake Generation and Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We advocate for a proactive approach in the tug-of-war between deepfake creators and detectors, emphasizing the need for continuous research collaboration, standardization of evaluation metrics, and the creation of comprehensive benchmarks. |
HANNAH LEE et. al. | arxiv-cs.CV | 2024-07-08 |
| 227 | Detection of Deepfake Videos Using Long-Distance Attention IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this article, the problem is treated as a special fine-grained classification problem since the differences between fake and real faces are very subtle. |
WEI LU et. al. | IEEE transactions on neural networks and learning systems | 2024-07-08 |
| 228 | Deep Fake Detection Using Transfer Learning: A Comparative Study of Multiple Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the proliferation of sophisticated AI techniques, the creation and dissemination of deep fake images and videos have emerged as a pressing concern in today’s digital … |
Abhineswari M; Kurupati Sai Charan; Shrikarti Bn; Sujithra Kanmani R; | 2024 International Conference on Signal Processing, … | 2024-07-04 |
| 229 | Deep Fake Face Detection Using Efficient Convolutional Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep fake content, especially in images and videos, is spreading at an unprecedented rate. Fake content are generated with the help of advanced deep learning (DL) algorithms such … |
Dr. M. Umadevi; Mr. S. Barghav; Mr. N. Sai Kumar; | 2024 5th International Conference on Image Processing and … | 2024-07-03 |
| 230 | DeepSight: Enhancing Deepfake Image Detection and Classification Through Ensemble and Deep Learning Techniques Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: in today’s digital age, deepfake images poses a significant threat to multimedia content authenticity and integrity. Detecting and classifying deepfake images with high accuracy … |
T. Manju; S. Kalarani; | 2024 5th International Conference on Image Processing and … | 2024-07-03 |
| 231 | Detecting and Grounding Multi-Modal Media Manipulation and Beyond IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we highlight a new research problem for multi-modal fake media, namely Detecting and Grounding Multi-Modal Media Manipulation (DGM ). |
Rui Shao; Tianxing Wu; Jianlong Wu; Liqiang Nie; Ziwei Liu; | IEEE transactions on pattern analysis and machine … | 2024-07-02 |
| 232 | Adversarial Magnification to Deceive Deepfake Detection Through Super Resolution Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel attack using super resolution as a quick, black-box and effective method to camouflage fake images and/or generate false alarms on pristine images. |
Davide Alessandro Coccomini; Roberto Caldelli; Giuseppe Amato; Fabrizio Falchi; Claudio Gennaro; | arxiv-cs.CV | 2024-07-02 |
| 233 | Golden Ratio Based Deep Fake Video Detection System with Fusion of Capsule Networks Related Papers Related Patents Related Grants Related Venues Related Experts View |
Samet Dinçer; Guzin Ulutas; Beste Ustubioglu; Gul Tahaoglu; Nicolas Sklavos; | Comput. Electr. Eng. | 2024-07-01 |
| 234 | Deep Fakes and The Artificial Intelligence Act—An Important Signal or A Missed Opportunity? Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The Artificial Intelligence Act (AI Act) adopted by the European Union might serve as a global regulatory reference point. Heated negotiations over the AI Act have shown that … |
Mateusz Łabuz; | Policy & Internet | 2024-07-01 |
| 235 | Texture and Artifact Decomposition for Improving Generalization in Deep-learning-based Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View |
JIE GAO et. al. | Eng. Appl. Artif. Intell. | 2024-07-01 |
| 236 | Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a deep learning based system for the task of deepfake audio detection. |
Lam Pham; Phat Lam; Truong Nguyen; Huyen Nguyen; Alexander Schindler; | arxiv-cs.SD | 2024-07-01 |
| 237 | Towards Generalized Detection of Face-Swap Deepfake Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As the prevalence of face-swap deepfakes on the Internet continues to rapidly increase, it is imperative for social media platforms to utilise a robust detection algorithm to … |
Faraz Ghasemzadeh; Tina Moghaddam; Jingming Dai; J. Yun; Dan Dongseong Kim; | Proceedings of the 3rd ACM Workshop on the Security … | 2024-07-01 |
| 238 | Multimodal Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Abstract: Deepfake technology has become a significant threat to the integrity of multimedia content, posing challenges to areas such as cybersecurity, media forensics, and … |
PROF. SNEHA G et. al. | International Journal for Research in Applied Science and … | 2024-06-30 |
| 239 | SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats Via Intelligent Signatures Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a defense mechanism, SecureSpectra, addressing DF threats by embedding orthogonal, irreversible signatures within audio. |
Oguzhan Baser; Kaan Kale; Sandeep P. Chinchali; | arxiv-cs.CR | 2024-06-30 |
| 240 | Deepfake Detection Using Integrate-backward-integrate Logic Optimization Algorithm with CNN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The emergence of deepfake technology has spurred the need for robust and adaptive methods to detect manipulated media content. This study explores the integration of the … |
R. U. MAHESHWARI et. al. | International Journal of Electrical and Electronics Research | 2024-06-28 |
| 241 | Seeking to Define Deepfakes from U.S. State Laws Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In six years, the word deepfake has gone from a niche on Reddit to the main object of research for hundreds of researchers and to the front line of concern of many policymakers. … |
João-Paulo Meneses; | Communication & Society | 2024-06-27 |
| 242 | Kulturgutschutz Und Bekämpfung Von Desinformation – Aufgaben Internationaler Bibliothekskooperation in Zeiten Des Krieges Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Zusammenfassung Der Beitrag behandelt die internationale Zusammenarbeit der Bibliotheken zum Erhalt von Kulturgut im Netzwerk Kulturgutschutz Ukraine und die Bekämpfung von … |
A. Bohn; O. Hamann; | Bibliothek Forschung und Praxis | 2024-06-26 |
| 243 | Generalized Deepfake Attribution Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This seed dependency issue made it difficult to attribute deepfakes with existing methods. We proposed a generalized deepfake attribution network (GDA-N et) to attribute fake images to their respective GAN architectures, even if they are generated from a retrained version of the GAN architecture with a different seed (cross-seed) or from the fine-tuned version of the existing GAN model. |
Sowdagar Mahammad Shahid; Sudev Kumar Padhi; Umesh Kashyap; Sk. Subidh Ali; | arxiv-cs.CV | 2024-06-26 |
| 244 | PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, there is a growing demand for real-world applications to detect unseen individuals, deepfake techniques, and scenarios. To address this limitation, we propose a Prototype-based Unified Framework for Deepfake Detection (PUDD). |
Alvaro Lopez Pellcier; Yi Li; Plamen Angelov; | arxiv-cs.CV | 2024-06-22 |
| 245 | Comparative Analysis of Deepfake Image Detection Method Using VGG16, VGG19 and ResNet50 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the rapidly evolving digital landscape, the proliferation of online image and video sharing has reached unprecedented levels. This surge has been accompanied by the emergence … |
ZAHRA NAZEMI ASHANI et. al. | Journal of Advanced Research in Applied Sciences and … | 2024-06-21 |
| 246 | The Negative Impact of Deepfake Technology on The Reputation of Prominent Figures on Social Media Platforms: An Analytical Study on A Sample of Fabricated Videos Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This research paper explores the detrimental impact of deepfake technology on the reputation of prominent figures on social media platforms. The rapid advancement of deepfake … |
Djamila kadem; Kafia mohamed eltaib Lassouane; | Journal of Science and Knowledge Horizons | 2024-06-20 |
| 247 | A Multi-Stream Fusion Approach with One-Class Learning for Audio-Visual Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper addresses the challenge of developing a robust audio-visual deepfake detection model. |
Kyungbok Lee; You Zhang; Zhiyao Duan; | arxiv-cs.SD | 2024-06-20 |
| 248 | Straight Through Gumbel Softmax Estimator Based Bimodal Neural Architecture Search for Audio-Visual Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce the Straight-through Gumbel-Softmax (STGS) framework, offering a comprehensive approach to search multimodal fusion model architectures. |
Aravinda Reddy PN; Raghavendra Ramachandra; Krothapalli Sreenivasa Rao; Pabitra Mitra; Vinod Rathod; | arxiv-cs.SD | 2024-06-19 |
| 249 | Media Forensics and Deepfake Systematic Survey Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake is a generative deep learning algorithm that creates or changes facial features in a very realistic way making it hard to differentiate the real from the fake features It … |
NADEEM JABBAR CH et. al. | arxiv-cs.CV | 2024-06-19 |
| 250 | An Approach to Deepfake Video Detection Based on ACO-PSO Features and Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid advancement of deepfake technology presents significant challenges in detecting highly convincing fake videos, posing risks such as misinformation, identity theft, and … |
Hanan Saleh Alhaji; Yüksel Çelik; Sanjay Goel; | Electronics | 2024-06-19 |
| 251 | Review of Existing Methods for Generating and Detecting Fake and Partially Fake Audio Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Using deep-learning technologies, both text-to-speech (TTS) and voice conversion (VC) methods can generate fake speech effectively, making it challenging to differentiate between … |
Abdulazeez Alali; George Theodorakopoulos; | Proceedings of the 10th ACM International Workshop on … | 2024-06-19 |
| 252 | Deepfake Catcher: Can A Simple Fusion Be Effective and Outperform Complex DNNs? Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Despite having completely different configurations, deep learning architectures learn a specific set of features that are common across architectures. For example, the initial few … |
Akshay Agarwal; N. Ratha; | 2024 IEEE/CVF Conference on Computer Vision and Pattern … | 2024-06-17 |
| 253 | Latent Flow Diffusion for Deepfake Video Generation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image-to-video generation with conditional identity swap popularly known as deepfake, aims to synthesize a new video for the target identity guided by an image of the target and a … |
Aashish Chandra K; Aashutosh A V; Srijan Das; Abhijit Das; | 2024 IEEE/CVF Conference on Computer Vision and Pattern … | 2024-06-17 |
| 254 | Detection of Fake Face Images Using Lightweight Convolutional Neural Networks with Stacking Ensemble Learning Method Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Images and videos containing fake faces are the most common type of digital manipulation. Such content can lead to negative consequences by spreading false information. The use of … |
Emre Şafak; Necaattin Barışçı; | PeerJ. Computer science | 2024-06-17 |
| 255 | Temporal Surface Frame Anomalies for Deepfake Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Looking at a video sequence where a foreground person is represented is not as time ago anymore. Deepfakes have revolutionized our way to watch at such contents and nowadays we … |
Andrea Ciamarra; R. Caldelli; A. Bimbo; | 2024 IEEE/CVF Conference on Computer Vision and Pattern … | 2024-06-17 |
| 256 | Quality-based Artifact Modeling for Facial Deepfake Detection in Videos Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Facial deepfakes are becoming more and more realistic, to the point that it is often difficult for humans to distinguish between a fake and a real video. However, it is … |
S. CONCAS et. al. | 2024 IEEE/CVF Conference on Computer Vision and Pattern … | 2024-06-17 |
| 257 | Beyond The Screen: Evaluating Deepfake Detectors Under Moiré Pattern Effects Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The detection of deepfakes is crucial for mitigating the societal impact of falsified video content. Despite the development of various algorithms for this purpose, challenges … |
Razaib Tariq; Minji Heo; Simon S. Woo; Shahroz Tariq; | 2024 IEEE/CVF Conference on Computer Vision and Pattern … | 2024-06-17 |
| 258 | Building Secure and Engaging Video Communication By Using Monitor Illumination Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we develop a neural network that can detect a mismatch between the light emitted from a monitor and the light reflected from the face of a user sitting in front of … |
JUN MYEONG CHOI et. al. | 2024 IEEE/CVF Conference on Computer Vision and Pattern … | 2024-06-17 |
| 259 | AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Audio-Visual Feature Fusion (AVFF) a two-stage cross-modal learning method that explicitly captures the correspondence between the audio and visual modalities for improved deepfake detection. |
TREVINE OORLOFF et. al. | cvpr | 2024-06-13 |
| 260 | Contrastive Learning for DeepFake Classification and Localization Via Multi-Label Ranking Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a unified approach to simultaneously addressing the conventional setting of binary deepfake classification and a more challenging scenario of uncovering what facial components have been forged as well as the exact order of the manipulations. |
Cheng-Yao Hong; Yen-Chi Hsu; Tyng-Luh Liu; | cvpr | 2024-06-13 |
| 261 | Real-Time Deepfake Detection in The Real-World Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recent improvements in generative AI made synthesizing fake images easy; as they can be used to cause harm, it is crucial to develop accurate techniques to identify them. This paper introduces Locally Aware Deepfake Detection Algorithm (LaDeDa), that accepts a single 9×9 image patch and outputs its deepfake score. |
Bar Cavia; Eliahu Horwitz; Tal Reiss; Yedid Hoshen; | arxiv-cs.CV | 2024-06-13 |
| 262 | Exploiting Style Latent Flows for Generalizing Deepfake Video Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a new approach for the detection of fake videos based on the analysis of style latent vectors and their abnormal behavior in temporal changes in the generated videos. |
Jongwook Choi; Taehoon Kim; Yonghyun Jeong; Seungryul Baek; Jongwon Choi; | cvpr | 2024-06-13 |
| 263 | Zero-Shot Fake Video Detection By Audio-Visual Consistency Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a novel zero-shot detection approach anchored in content consistency across audio and video. |
XIAOLOU LI et. al. | arxiv-cs.SD | 2024-06-12 |
| 264 | PUFshield: A Hardware-Assisted Approach for Deepfake Mitigation Through PUF-Based Facial Feature Attestation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake has emerged as a threat to individual’s privacy and identity. It uses advanced deep learning algorithms to synthesize visual, text, and audio from multimedia content in a … |
Venkata K. V. V. Bathalapalli; V. P. Yanambaka; S. Mohanty; E. Kougianos; | Proceedings of the Great Lakes Symposium on VLSI 2024 | 2024-06-12 |
| 265 | FakeSound: Deepfake General Audio Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, the proliferation of deepfake general audio can pose negative consequences. Therefore, we propose a new task, deepfake general audio detection, which aims to identify whether audio content is manipulated and to locate deepfake regions. |
ZEYU XIE et. al. | arxiv-cs.SD | 2024-06-12 |
| 266 | Continuous Fake Media Detection: Adapting Deepfake Detectors to New Generative Techniques Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This rapid advancement severely limits the application of deepfake detectors, which, despite numerous efforts by the scientific community, struggle to achieve sufficiently robust performance against the ever-changing content. To address these limitations, in this paper, we propose an analysis of two continuous learning techniques on a Short and a Long sequence of fake media. |
Francesco Tassone; Luca Maiano; Irene Amerini; | arxiv-cs.CV | 2024-06-12 |
| 267 | Cortical-striatal Brain Network Distinguishes Deepfake from Real Speaker Identity Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes are viral ingredients of digital environments, and they can trick human cognition into misperceiving the fake as real. Here, we test the neurocognitive sensitivity of 25 … |
Claudia Roswandowitz; Thayabaran Kathiresan; Elisa Pellegrino; Volker Dellwo; Sascha Frühholz; | Communications biology | 2024-06-11 |
| 268 | CodecFake: Enhancing Anti-Spoofing Models Against Deepfake Audios from Codec-Based Speech Synthesis Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the open question of whether current SOTA anti-spoofing models can effectively counter deepfake audios from codec-based speech synthesis systems remains unanswered. In this paper, we curate an extensive collection of contemporary SOTA codec models, employing them to re-create synthesized speech. |
Haibin Wu; Yuan Tseng; Hung-yi Lee; | arxiv-eess.AS | 2024-06-11 |
| 269 | RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes an end-to-end bidirectional state space model, named RawBMamba, to capture both short- and long-range discriminative information for audio deepfake detection. |
YUJIE CHEN et. al. | arxiv-cs.SD | 2024-06-10 |
| 270 | Faster Than Lies: Real-time Deepfake Detection Using Binary Neural Networks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While existing methods focus on large and complex models, the need for real-time detection demands greater efficiency. With this in mind, unlike previous work, we introduce a novel deepfake detection approach on images using Binary Neural Networks (BNNs) for fast inference with minimal accuracy loss. |
Lanzino Romeo; Fontana Federico; Diko Anxhelo; Marini Marco Raoul; Cinque Luigi; | arxiv-cs.CV | 2024-06-07 |
| 271 | Fully Unsupervised Deepfake Video Detection Via Enhanced Contrastive Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Nowadays, Deepfake videos are widely spread over the Internet, which severely impairs the public trustworthiness and social security. Although more and more reliable detectors … |
Tong Qiao; Shichuang Xie; Yanli Chen; Florent Retraint; Xiangyang Luo; | IEEE transactions on pattern analysis and machine … | 2024-06-05 |
| 272 | AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Audio-Visual Feature Fusion (AVFF), a two-stage cross-modal learning method that explicitly captures the correspondence between the audio and visual modalities for improved deepfake detection. |
TREVINE OORLOFF et. al. | arxiv-cs.CV | 2024-06-05 |
| 273 | Improved Deepfake Video Detection Using Convolutional Vision Transformer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes are hyper-realistic videos in which the faces are replaced, swapped, or forged using deep-learning models. This potent media manipulation techniques hold promise for … |
Deressa Wodajo; Peter Lambert; G. V. Wallendael; Solomon Atnafu; Hannes Mareen; | 2024 IEEE Gaming, Entertainment, and Media Conference (GEM) | 2024-06-05 |
| 274 | Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: -The expeditious progress in facial image generation and exploitation has now come to a point where it raises serious concerns to the social and political society. This leads to … |
Prerna Kumari; Vikas Kumar; | International Journal of Science and Research (IJSR) | 2024-06-05 |
| 275 | Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion Strategy Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, the rapid evolution of deepfake algorithms poses a critical challenge in the accurate identification of out-of-distribution (OOD) novel deepfake algorithms. In this paper, we propose Real Emphasis and Fake Dispersion (REFD) strategy for audio deepfake algorithm recognition, demonstrating its effectiveness in discriminating ID samples while identifying OOD samples. |
YUANKUN XIE et. al. | arxiv-cs.SD | 2024-06-05 |
| 276 | Deep Learning – Based Banknote Classification: Harnessing Artificial Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Banknote authentication is crucial for maintaining financial transactions’ integrity and security. Conventional techniques, including rule-based systems or human inspection, may … |
SK SAJIDA SULTANA et. al. | 2024 3rd International Conference on Applied Artificial … | 2024-06-05 |
| 277 | CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Current SVDD datasets face challenges due to limited controllability, diversity in deepfake methods, and licensing restrictions. Addressing these gaps, we introduce CtrSVDD, a large-scale, diverse collection of bonafide and deepfake singing vocals. |
YONGYI ZANG et. al. | arxiv-eess.AS | 2024-06-04 |
| 278 | Bi-Source Reconstruction-Based Classification Network for Face Forgery Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Current methods for detecting deep fakes concentrate on specific patterns of forgery like noise characteristics, local textures, or frequency statistics. These approaches assume … |
Dongming Zhang; Chenqin Fu; Dingyu Lu; Jun Li; Yongdong Zhang; | IEEE Transactions on Circuits and Systems for Video … | 2024-06-01 |
| 279 | Deepfake Video Detection Using Res-Next CNN and LSTM Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Abstract: Deepfake videos are becoming more and more common in the digital age, which has led to major worries about how they can undermine the trustworthiness of visual media. … |
Dr. Suresh M B; | International Journal for Research in Applied Science and … | 2024-05-31 |
| 280 | Video Detection Method Based on Temporal and Spatial Foundations for Accurate Verification of Authenticity Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid development of deepfake technology, it is finding applications in virtual movie production and entertainment. However, its potential for malicious use, such as … |
Chin-Yuan Lin; Jen-Chun Lee; Shuenn-Jyi Wang; Chung-Shi Chiang; Chao-Lung Chou; | Electronics | 2024-05-30 |
| 281 | CodeDetector: Revealing Forgery Traces with Codebook for Generalized Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The malicious use of deepfake technologies poses a significant threat to social security, emphasizing the urgent necessity to advance deepfake detection. Existing detection models … |
Jiaxin Li; Zhihan Yu; Guibo Luo; Yuesheng Zhu; | Proceedings of the 2024 International Conference on … | 2024-05-30 |
| 282 | Overview of The Grand Challenge on Detecting Cheapfakes at ACM ICMR 2024 IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Information disorder is one of the most typical challenges in the current era of science and technology. The amount of information on the internet is increasing, but its … |
DUC-TIEN DANG-NGUYEN et. al. | Proceedings of the 2024 International Conference on … | 2024-05-30 |
| 283 | Does It Matter Who Said It? Exploring The Impact of Deepfake-Enabled Profiles on User Perception Towards Disinformation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, deepfake techniques have been adopted by real-world adversaries to fabricate believable personas (posing as experts or insiders) in disinformation campaigns to promote … |
Margie Ruffin; Haeseung Seo; Aiping Xiong; Gang Wang; | International Conference on Web and Social Media | 2024-05-28 |
| 284 | DeepExplain: Enhancing DeepFake Detection Through Transparent and Explainable AI Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid advancement of digital media technologies has given rise to DeepFake videos, synthetic content generated using deep learning algorithms that can convincingly mimic real … |
Sunkari Venkateswarulu; A. Srinagesh; | Informatica (Slovenia) | 2024-05-27 |
| 285 | INDIFACE: Illuminating India’s Deepfake Landscape with A Comprehensive Synthetic Dataset Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the recent progress in Deepfake generation, several datasets and manipulation techniques have been proposed in the recent literature with various effective face-swap and … |
KARTIK KUCKREJA et. al. | 2024 IEEE 18th International Conference on Automatic Face … | 2024-05-27 |
| 286 | Deepfake Detection Using Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The detection of deep fakes, which are synthetic media generated using deep learning techniques, has become increasingly important due to their potential to deceive and manipulate … |
Dr. B. M Vidyavathi; Mr. Adnaan Faisal Ahmed; Ms. Lulu Ayain T; Ms. Syeda Mehraj Fatima; | International Journal of Advanced Research in Science, … | 2024-05-25 |
| 287 | AVSecure: An Audio-Visual Watermarking Framework for Proactive Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rise of Deepfake technology presents a significant challenge to the integrity of information. Most existing Deepfake detection methods rely on visual artifacts to distinguish … |
Bofei Guo; Haoxuan Tai; Guibo Luo; Yuesheng Zhu; | 2024 IEEE 14th International Conference on Electronics … | 2024-05-24 |
| 288 | Deep Fake Image Detection Based on Deep Learning Using A Hybrid CNN-LSTM with Machine Learning Architectures As Classifier Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: One of the most important and difficult subjects in social communication is detecting deepfake images and videos. Deepfake techniques have developed widely, making this technology … |
Omar Alfarouk Hadi Hasan Al-Dulaimi; S. Kurnaz; | 2024 International Congress on Human-Computer Interaction, … | 2024-05-23 |
| 289 | DEEPFAKE DETECTION USING LSTM & RESNEXT-50 1 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As computing power increases, deep fakes, or films that seem like they were created by a real person, are becoming feasible thanks to deep learning algorithms. Political … |
M. Sm; | INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING … | 2024-05-22 |
| 290 | Deep Fake Detection for Preventing Audio and Video Frauds Using Advanced Deep Learning Techniques Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes allow for the automated gen- eration of fake video content, often accomplished through the use of generative adversarial networks. To address the increasing issue of … |
ANUSHA O. VAIDYA et. al. | 2024 IEEE Recent Advances in Intelligent Computational … | 2024-05-16 |
| 291 | Detection of GAN-manipulated Medical Images Through Deep Learning Techniques Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: with advancements in technology, telemedicine has become popular to provide remote clinical services in real-time using digital audio-visual communication means. Medical images … |
Aruna S; Surabhi Narayan; | 2024 International Conference on Advances in Modern Age … | 2024-05-16 |
| 292 | Towards Robust Audio Deepfake Detection: A Evolving Benchmark for Continual Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Continual learning, which acts as an effective tool for detecting newly emerged deepfake audio while maintaining performance on older types, lacks a well-constructed and user-friendly evaluation framework. To address this gap, we introduce EVDA, a benchmark for evaluating continual learning methods in deepfake audio detection. |
Xiaohui Zhang; Jiangyan Yi; Jianhua Tao; | arxiv-cs.SD | 2024-05-14 |
| 293 | Spatiotemporal Inconsistency Learning and Interactive Fusion for Deepfake Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rise of the metaverse, the rapid advancement of Deepfakes technology has become closely intertwined. Within the metaverse, individuals exist in digital form and engage in … |
DENGYONG ZHANG et. al. | ACM Transactions on Multimedia Computing, Communications … | 2024-05-13 |
| 294 | Design An Efficient VARMA LSTM GRU Model for Identification of Deep-fake Images Via Dynamic Window-based Spatio-temporal Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View |
Usha Kosarkar; Gopal Sakarkar; | Multim. Tools Appl. | 2024-05-08 |
| 295 | DETEK-AI: A Web-based Deepfake Detection System Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: AI-driven deepfake bots pose a serious risk to society, security, and trust, which necessitates the development of reliable techniques to detect and mitigate their threat, as … |
Dr. Shwetambari Borade; | INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING … | 2024-05-07 |
| 296 | Detecting Music Deepfakes Is Easy But Actually Hard Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper demonstrates the possibility (and surprising ease) of training classifiers on datasets comprising real audio and fake reconstructions, achieving a convincing accuracy of 99.8%. |
Darius Afchar; Gabriel Meseguer-Brocal; Romain Hennequin; | arxiv-cs.SD | 2024-05-07 |
| 297 | Unmasking Illusions: Understanding Human Perception of Audiovisual Deepfakes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present our findings by comparing human observers to five state-ofthe-art audiovisual deepfake detection models. |
Ammarah Hashmi; Sahibzada Adil Shahzad; Chia-Wen Lin; Yu Tsao; Hsin-Min Wang; | arxiv-cs.CV | 2024-05-07 |
| 298 | Deep Fake Detection Using Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning is an effective method that is broadly used across a wide range of areas, i.e., computer vision, machine vision, and natural language processing. Deepfakes is an … |
Mr.Gopi K; | INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING … | 2024-05-06 |
| 299 | A Hybrid CNN-LSTM Approach for Deepfake Audio Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As synthetic media techniques advance, the detection of manipulated audio content, known as deepfake audio, has become increasingly important. With the rise of challenges in … |
Madhura Chitale; Aakanksha Dhawale; Manushree Dubey; Sunil Ghane; | 2024 3rd International Conference on Artificial … | 2024-05-03 |
| 300 | Training-Free Deepfake Voice Recognition By Leveraging Large-Scale Pre-Trained Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we study the potential of large-scale pre-trained models for audio deepfake detection, with special focus on generalization ability. |
Alessandro Pianese; Davide Cozzolino; Giovanni Poggi; Luisa Verdoliva; | arxiv-cs.SD | 2024-05-03 |
| 301 | Video Based Evidence Analysis and Extraction in Digital Forensic Investigation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid advancement of technology and the ease of creating fake content, the manipulation of media has become widespread in recent times. The emergence of AI-altered … |
VENKATA KIRAN S et. al. | Sri Venkatesa Perumal College of Engineering and Technology | 2024-05-02 |
| 302 | In Anticipation of Perfect Deepfake: Identity-anchored Artifact-agnostic Detection Under Rebalanced Deepfake Detection Protocol Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, current deepfake detectors, intentionally or inadvertently, rely on such artifacts for detection, as they are exclusive to deepfakes and absent in genuine examples. To bridge this gap, we introduce the Rebalanced Deepfake Detection Protocol (RDDP) to stress-test detectors under balanced scenarios where genuine and forged examples bear similar artifacts. |
Wei-Han Wang; Chin-Yuan Yeh; Hsi-Wen Chen; De-Nian Yang; Ming-Syan Chen; | arxiv-cs.CV | 2024-05-01 |
| 303 | Refining Localized Attention Features with Multi-Scale Relationships for Enhanced Deepfake Detection in Spatial-Frequency Domain Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid advancement of deep learning and large-scale AI models has simplified the creation and manipulation of deepfake technologies, which generate, edit, and replace faces in … |
Yuan Gao; Yu Zhang; Ping Zeng; Yingjie Ma; | Electronics | 2024-05-01 |
| 304 | A Multidisciplinary Look at History and Future of Deepfake With Gartner Hype Cycle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake has been swiftly advanced, misused, and democratized, which created overhype around it. To separate the overhype from reality, this study presents a multidisciplinary … |
Can Yavuz; | IEEE Security & Privacy | 2024-05-01 |
| 305 | A Deep Approach to Deep Fake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent months, the proliferation of free deep learning-based software tools has facilitated the creation of credible face exchanges in videos, resulting in what are known as … |
Prof. Dikshendra Sarpate; Abrar Mungi; Shreyash Borkar; Shravani Mane; Kawnain Shaikh; | International Journal of Scientific Research in Science, … | 2024-04-30 |
| 306 | Deepfake on Social Media: Harnessing Deep Learning for Identifying Falsified Tweet Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advancements in natural language production have enabled the creation of sophisticated deepfake social media messages, posing a significant threat to public discourse. In … |
Jatinder Kaur,; | INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING … | 2024-04-29 |
| 307 | Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we propose a new framework for evaluating the performance of explanation methods on the decisions of a deepfake detector. |
Konstantinos Tsigos; Evlampios Apostolidis; Spyridon Baxevanakis; Symeon Papadopoulos; Vasileios Mezaris; | arxiv-cs.CV | 2024-04-29 |
| 308 | Compressed Deepfake Video Detection Based on 3D Spatiotemporal Trajectories Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The misuse of deepfake technology by malicious actors poses a potential threat to nations, societies, and individuals. However, existing methods for detecting deepfakes primarily … |
Zongmei Chen; Xin Liao; Xiaoshuai Wu; Yanxiang Chen; | ArXiv | 2024-04-28 |
| 309 | Deep Fake Image Classification Engine Using Inception-ResNet-V1 Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The goal of this project is to develop a real or fake facial image classification system using deep learning techniques. The main focus is on the InceptionResnetVl model … |
Kothandaraman D; S. S. Narayanan; Mohamed Iqbal M; Ayesha Yekopalli; Sri Krishnadevarayalu S; | 2024 International Conference on Computing and Data Science … | 2024-04-26 |
| 310 | On The Way to Deep Fake Democracy? Deep Fakes in Election Campaigns in 2023 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Mateusz Łabuz; Christopher Nehring; | European Political Science | 2024-04-26 |
| 311 | A Hybrid CNN-LSTM Approach for Precision Deepfake Image Detection Based on Transfer Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The detection of deepfake images and videos is a critical concern in social communication due to the widespread utilization of deepfake techniques. The prevalence of these methods … |
Omar Alfarouk Hadi Hasan Al-Dulaimi; S. Kurnaz; | Electronics | 2024-04-25 |
| 312 | An Analysis of Recent Advances in Deepfake Image Detection in An Evolving Threat Landscape Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This has triggered several research efforts to accurately detect deepfake images, achieving excellent performance on publicly available deepfake datasets. In this work, we study 8 state-of-the-art detectors and argue that they are far from being ready for deployment due to two recent developments. |
SIFAT MUHAMMAD ABDULLAH et. al. | arxiv-cs.CR | 2024-04-24 |
| 313 | Every Breath You Don’t Take: Deepfake Speech Detection Using Breath Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Applying our simple breath detector as a deepfake speech discriminator on in-the-wild samples allows for accurate classification (perfect 1.0 AUPRC and 0.0 EER on test data) across 33.6 hours of audio. We compare our model with the state-of-the-art SSL-wav2vec model and show that this complex deep learning model completely fails to classify the same in-the-wild samples (0.72 AUPRC and 0.99 EER). |
SETH LAYTON et. al. | arxiv-cs.SD | 2024-04-23 |
| 314 | AI Simulated Media Detection for Social Media Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper discusses the use of artificial intelligence (AI) for detecting AI-simulated media on social media platforms. AI-generated content, like deepfake videos and synthetic … |
Mr. S. Kingsley; Adithya S P; Badrinath Babu; Harish Vaithilingam A; | International Research Journal on Advanced Engineering Hub … | 2024-04-22 |
| 315 | Texture, Shape and Order Matter: A New Transformer Design for Sequential DeepFake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As such, this paper describes a new Transformer design, called TSOM, by exploring three perspectives: Texture, Shape, and Order of Manipulations. |
YUNFEI LI et. al. | arxiv-cs.CV | 2024-04-22 |
| 316 | FreqBlender: Enhancing DeepFake Detection By Blending Frequency Knowledge Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While these methods have shown promise, they overlook the simulation of frequency distribution in pseudo-fake faces, limiting the learning of generic forgery traces in-depth. To address this, this paper introduces {\em FreqBlender}, a new method that can generate pseudo-fake faces by blending frequency knowledge. |
HANZHE LI et. al. | arxiv-cs.CV | 2024-04-22 |
| 317 | A Novel Framework Based on A Hybrid Vision Transformer and Deep Neural Network for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generative Adversarial Networks (GANs) have enabled the creation of photo-realistic images from random noise. GAN based technologies however, led to the dissemination of synthetic … |
Mohammed Shahin; Mohamed Deriche; | 2024 21st International Multi-Conference on Systems, … | 2024-04-22 |
| 318 | Audio Anti-Spoofing Detection: A Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This survey paper presents a comprehensive review of every component within the detection pipeline, including algorithm architectures, optimization techniques, application generalizability, evaluation metrics, performance comparisons, available datasets, and open-source availability. |
Menglu Li; Yasaman Ahmadiadli; Xiao-Ping Zhang; | arxiv-cs.SD | 2024-04-22 |
| 319 | Explainable Deepfake Video Detection Using Convolutional Neural Network and CapsuleNet Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our objective is to utilize CNN (Convolutional Neural Network) and CapsuleNet with LSTM to differentiate between deepfake-generated frames and originals. |
GAZI HASIN ISHRAK et. al. | arxiv-cs.CV | 2024-04-19 |
| 320 | DeepFake-O-Meter V2.0: An Open Platform for DeepFake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce an open-source and user-friendly online platform, DeepFake-O-Meter v2.0, that integrates state-of-the-art methods for detecting Deepfake images, videos, and audio. |
YAN JU et. al. | arxiv-cs.CR | 2024-04-19 |
| 321 | Deep Fake Detection System Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning methods are used by the Deep Fake Detection System to recognize deepfakes, or distorted media content. Deepfakes are artificial media produced by sophisticated … |
Gurukiran D P; | INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING … | 2024-04-17 |
| 322 | CNN-GMM Approach to Identifying Data Distribution Shifts in Forgeries Caused By Noise: A Step Towards Resolving The Deepfake Problem Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we introduce a novel methodology that employs a convolutional neural network (CNN) and Gaussian mixture model (GMM) to effectively differentiate between fake and real images or videos. |
Roaa Mohamed Alnafea; Liyth Nissirat; Aida Al-Samawi; | PeerJ. Computer science | 2024-04-17 |
| 323 | Detecting Deepfake Videos Using Face Recognition and Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake videos created using advanced artificial intelligence techniques, pose a significant threat to digital media credibility. This project introduces a holistic strategy for … |
Muthu Aravind Murugan; T. Mathu; S. J. Priya; | 2024 International Conference on Cognitive Robotics and … | 2024-04-17 |
| 324 | Deep Fake Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep fake technology, driven by advancements in artificial intelligence, has garnered significant attention in recent years. This paper synthesizes findings from research papers … |
Harsh Vardhan; Naman Varshney; Manoj Kiran R; Pradeep R; Dr. Latha N.R; | International Research Journal on Advanced Engineering Hub … | 2024-04-17 |
| 325 | An Effective Approach for Detecting Deepfake Videos Using Long Short-Term Memory and ResNet Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning algorithms are becoming more potent and producing human-synthesized, undifferentiated footage is a simple process thanks to advances in computing power. A method of … |
S. KEERTHANA et. al. | 2024 International Conference on Communication, Computing … | 2024-04-17 |
| 326 | Frequency Masking for Universal Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our goal is to detect synthetic images from a range of generative AI approaches, particularly from emerging ones which are unseen during training of the deepfake detector. |
C. T. Doloriel; N. -M. Cheung; | icassp | 2024-04-15 |
| 327 | Multi-Scale Permutation Entropy for Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we employ the multi-scale permutation entropy (MPE) in audio deepfake detection, which could help measure the complexity and detect the dynamic characteristics of audio signals at different scales. |
C. WANG et. al. | icassp | 2024-04-15 |
| 328 | VFD-Net: Vocoder Fingerprints Detection for Fake Audio Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Since vocoder is the key component of audio deepfake and leaves distinctive fingerprint features, we propose VFD-Net (Vocoder Fingerprints Detection Net), a new vocoder architectures attribution scheme, which is based on patch-wise supervised contrastive learning (PCL) to capture the global consistency of the vocoder fingerprints and to improve the detection performance in cross-set testing and audio compression scenario. |
J. Deng; Y. Ren; T. Zhang; H. Zhu; Z. Sun; | icassp | 2024-04-15 |
| 329 | AdvShadow: Evading DeepFake Detection Via Adversarial Shadow Attack Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we introduce a novel transferable adversarial attack named AdvShadow, designed to attack DeepFake detectors by leveraging natural shadows in real-life. |
J. Liu; M. Zhang; J. Ke; L. Wang; | icassp | 2024-04-15 |
| 330 | Detection of Deepfake Media Using A Hybrid CNN-RNN Model and Particle Swarm Optimization (PSO) Algorithm Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes are digital audio, video, or images manipulated using machine learning algorithms. These manipulated media files can convincingly depict individuals doing or saying … |
Aryaf A. Al-Adwan; Hadeel Alazzam; Noor Al-Anbaki; Eman Alduweib; | Comput. | 2024-04-15 |
| 331 | An Efficient Temporary Deepfake Location Approach Based Embeddings for Partially Spoofed Audio Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Partially spoofed audio detection is a challenging task, lying in the need to accurately locate the authenticity of audio at the frame level. To address this issue, we propose a fine-grained partially spoofed audio detection method, namely Temporal Deepfake Location (TDL), which can effectively capture information of both features and locations. |
Y. Xie; H. Cheng; Y. Wang; L. Ye; | icassp | 2024-04-15 |
| 332 | FSD: An Initial Chinese Dataset for Fake Song Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Thus, we employ the FSD dataset for the training of ADD models. We subsequently evaluate these models under two scenarios: one with the original songs and another with separated vocal tracks. |
Y. Xie; | icassp | 2024-04-15 |
| 333 | Multi-Scale Permutation Entropy for Audio Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the widespread application of Automatic Speaker Verification (ASV) technology in security authentication, the threat of fake audio attacks looms as a malicious means … |
CHENGLONG WANG et. al. | ICASSP 2024 – 2024 IEEE International Conference on … | 2024-04-14 |
| 334 | AdvShadow: Evading DeepFake Detection Via Adversarial Shadow Attack Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the emergence of techniques called DeepFakes, there has been a notable proliferation of DeepFake detectors rooted in deep learning. These detectors aim to expose subtle … |
Jiatong Liu; Mingcheng Zhang; Jianpeng Ke; Lina Wang; | ICASSP 2024 – 2024 IEEE International Conference on … | 2024-04-14 |
| 335 | VFD-Net: Vocoder Fingerprints Detection for Fake Audio Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid development of audio deepfake technology, the credibility and authenticity of public opinion is facing a formidable challenge. Since vocoder is the key component of … |
Junlong Deng; Yanzhen Ren; Tong Zhang; Hongcheng Zhu; Zongkun Sun; | ICASSP 2024 – 2024 IEEE International Conference on … | 2024-04-14 |
| 336 | Efficient Deepfake Audio Detection Using Spectro-Temporal Analysis and Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the advancement of deepfake technology, particularly in the audio domain, there is an imperative need for robust detection mechanisms to maintain digital security and … |
A. Srinagesh Venkateswarlu Sunkari; | Journal of Electrical Systems | 2024-04-13 |
| 337 | Efficientnet-Based Deep Learning Approach for Video Forgery Detection and Authentication Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The technological advancements in artificial intelligence have made it a lot easier to create forged videos that are difficult to distinguish from reality. Fake videos also called … |
V. Gowri Priyaa; M. Jaya Harrish; M. Udhayakumar; N. Jothieswaran; K. Dinesh; | 2024 10th International Conference on Communication and … | 2024-04-12 |
| 338 | A Case Study on How Beautification Filters Can Fool Deepfake Detectors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The exponential growth of shared multimedia con-tent made necessary algorithms for deepfake detection. At the same time, beautification filters have become a popular tool and new … |
Alexandre Libourel; Sahar Husseini; Nelida Mirabet-Herranz; J. Dugelay; | 2024 12th International Workshop on Biometrics and … | 2024-04-11 |
| 339 | Deep Fake Image Detection Using Xception Architecture Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep Fake technology has become increasingly sophisticated, posing a significant challenge to the integrity of digital content in today’s information age. This research paper … |
Paritosh Joshi; Nivethitha V; | 2024 5th International Conference on Recent Trends in … | 2024-04-09 |
| 340 | Deepfake Speech Detection: A Spectrogram Analysis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The current voice biometric systems have no natural mechanics to defend against deepfake spoofing attacks. Thus, supporting these systems with a deepfake detection solution is … |
Anton Firc; K. Malinka; P. Hanáček; | Proceedings of the 39th ACM/SIGAPP Symposium on Applied … | 2024-04-08 |
| 341 | D3: Scaling Up Deepfake Detection By Learning from Discrepancy Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The boom of Generative AI brings opportunities entangled with risks and concerns. In this work, we seek a step toward a universal deepfake detection system with better … |
Yongqi Yang; Zhihao Qian; Ye Zhu; Yu Wu; | ArXiv | 2024-04-06 |
| 342 | Comparative Analysis of Deepfake Detection Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes, which leverage advanced machine learning techniques such as generative adversarial networks (GANs), pose a significant threat to the integrity of visual content and … |
Om Jannu; Vendra Sekar; Tushar Padhy; Prasad Padalkar; | 2024 IEEE 9th International Conference for Convergence in … | 2024-04-05 |
| 343 | Robust GAN-Based CNN Model As Generative AI Application for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: One of the most well-known generative AI models is the Generative Adversarial Network (GAN), which is frequently employed for data generation or augmentation. In this paper a … |
Preeti Sharma; Manoj Kumar; Hiteshwari Sharma; | EAI Endorsed Transactions on Internet of Things | 2024-04-04 |
| 344 | Face Generation and Editing With StyleGAN: A Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our goal with this survey is to provide an overview of the state of the art deep learning methods for face generation and editing using StyleGAN. |
ANDREW MELNIK et. al. | IEEE transactions on pattern analysis and machine … | 2024-04-03 |
| 345 | Using The CNN Architecture Based on The EfficientNetB4 Model to Efficiently Detect Deepfake Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This study evaluates the effectiveness of using the EfficientNetB4 model architecture for deepfake image detection and identifies the main challenges in developing an accurate … |
Arman Zhalgasbayev; Tolegen Aiteni; N. Khaimuldin; | 2024 IEEE AITU: Digital Generation | 2024-04-03 |
| 346 | Blessing or Curse? A Survey on The Impact of Generative AI on Fake News Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This survey provides a comprehensive examination of the research and practical use of Generative AI for Fake News detection and creation in 2024. |
Alexander Loth; Martin Kappes; Marc-Oliver Pahl; | arxiv-cs.CL | 2024-04-03 |
| 347 | Deepfake Detection and Classification of Images from Video: A Review of Features, Techniques, and Challenges Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The proliferation of deepfake technology poses significant challenges to the integrity and authenticity of visual content in videos, raising concerns about misinformation and … |
Dennis Bale; L. Ochei; Chidiebere Ugwu; | International Journal of Intelligent Information Systems | 2024-04-02 |
| 348 | Audio Stream Analysis for Deep Fake Threat Identification Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This article introduces a novel approach for the identification of deep fake threats within audio streams, specifically targeting the detection of synthetic speech generated by … |
Karol Jędrasiak; | Civitas et Lex | 2024-04-02 |
| 349 | Real, Fake and Synthetic Faces – Does The Coin Have Three Sides? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: With the ever-growing power of generative artificial intelligence, deepfake and artificially generated (synthetic) media have continued to spread online, which creates various ethical and moral concerns regarding their usage. To tackle this, we thus present a novel exploration of the trends and patterns observed in real, deepfake and synthetic facial images. |
SHAHZEB NAEEM et. al. | arxiv-cs.CV | 2024-04-02 |
| 350 | PENGEMBANGAN MEDIA PEMBELAJARAN PENGENALAN SEJARAH PAHLAWAN INDONESIA MENGGUNAKAN DEEP FAKE DENGAN METODE MULTIMEDIA DEVELOPMENT LIFE CYCLE Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Dalam pengenalan sejarah banyak terkadang para pelajar ataupun masyarakat kurang banyak dalam pengetahuan tentang sejarah terutama tokoh pahlawan nasional menjadi salah satu … |
Gelar Wirakusunah; | Jurnal Informatika dan Teknik Elektro Terapan | 2024-04-02 |
| 351 | MCL: Multimodal Contrastive Learning for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Advancements in computer vision and deep learning have led to difficulty in distinguishing Deepfake and real videos. In particular, forgery audios are also generated to accompany … |
Xiaolong Liu; Yang Yu; Xiaolong Li; Yao Zhao; | IEEE Transactions on Circuits and Systems for Video … | 2024-04-01 |
| 352 | NFTs for Combating Deepfakes and Fake Metaverse Digital Contents Related Papers Related Patents Related Grants Related Venues Related Experts View |
Haya R. Hasan; Khaled Salah; Raja Jayaraman; Ibrar Yaqoob; Mohammed A. Omar; | Internet Things | 2024-04-01 |
| 353 | Low-Quality Deepfake Detection Via Unseen Artifacts Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The proliferation of manipulated media over the Internet has become a major source of concern in recent times. With the wide variety of techniques being used to create fake media, … |
S. Chhabra; K. Thakral; S. Mittal; Mayank Vatsa; Richa Singh; | IEEE Transactions on Artificial Intelligence | 2024-04-01 |
| 354 | Safeguarding Media Integrity: A Hybrid Optimized Deep Feature Fusion Based Deepfake Detection in Videos Related Papers Related Patents Related Grants Related Venues Related Experts View |
Jayashre K; Amsaprabhaa M; | Comput. Secur. | 2024-04-01 |
| 355 | A Review on Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake video detection is a new field in artificial intelligence (AI) and computer vision. Its main objective is to detect deepfake videos, which are digitally altered footage … |
Adithya K Ajith; | INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING … | 2024-03-30 |
| 356 | Transformer-based Cascade Networks with Spatial and Channel Reconstruction Convolution for Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For the deepfake detection problem, we suggest a cascade network based on spatial and channel reconstruction convolution (SCConv) and vision transformer. |
Xue Li; Huibo Zhou; Ming Zhao; | Mathematical biosciences and engineering : MBE | 2024-03-29 |
| 357 | Deepfake Generation and Detection: A Benchmark and Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We first unify task definitions, comprehensively introduce datasets and metrics, and discuss developing technologies. |
GAN PEI et. al. | arxiv-cs.CV | 2024-03-26 |
| 358 | Detection of Deepfake Environmental Audio Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a simple and efficient pipeline for detecting fake environmental sounds based on the CLAP audio embedding. |
Hafsa Ouajdi; Oussama Hadder; Modan Tailleur; Mathieu Lagrange; Laurie M. Heller; | arxiv-cs.SD | 2024-03-26 |
| 359 | DeepFake Video Detection Using Vision Transformer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: : Technology is always a double-edged sword, and with the astonishing advancements in technology, it is expected that the DeepFake problem will become more common and serious. … |
Shereen A. Hussien; Seif Mohamed; | International Journal of Intelligent Computing and … | 2024-03-24 |
| 360 | TraceEvader: Making DeepFakes More Untraceable Via Evading The Forgery Model Attribution Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent few years, DeepFakes are posing serve threats and concerns to both individuals and celebrities, as realistic DeepFakes facilitate the spread of disinformation. Model … |
MENGJIE WU et. al. | AAAI Conference on Artificial Intelligence | 2024-03-24 |
| 361 | Deepfakes: The Legal Implications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The development of deepfakes began in 2017, when a software developer on the Reddit online platform began posting his creations in which he swapped the faces of Hollywood … |
Trishana Ramluckan; | International Conference on Cyber Warfare and Security | 2024-03-21 |
| 362 | Exploring Green AI for Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This is certainly a massive threat to the environment. To tackle this challenge, this study presents a novel framework for audio deepfake detection that can be seamlessly trained using standard CPU resources. |
Subhajit Saha; Md Sahidullah; Swagatam Das; | arxiv-cs.SD | 2024-03-21 |
| 363 | Deepfake Detection Using Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent decades, rapid advancements in AI, machine learning, and deep learning have yielded new methods and tools for manipulating multimedia. While this technology has … |
Prakash Raj S; Pravin D; Sabareeswaran G; Sanjith R K; Gomathi B; | 2024 10th International Conference on Advanced Computing … | 2024-03-14 |
| 364 | After Deception: How Falling for A Deepfake Affects The Way We See, Hear, and Experience Media Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the emergence of artificial intelligence, deepfakes have rendered it possible to manipulate anyone’s and anything’s audio-visual representation, adding fuel to the discussion … |
Teresa Weikmann; Hannah Greber; Alina Nikolaou; | The International Journal of Press/Politics | 2024-03-13 |
| 365 | Mastering Deepfake Detection: A Cutting-Edge Approach to Distinguish GAN and Diffusion-Model Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Detecting and recognizing deepfakes is a pressing issue in the digital age. In this study, we first collected a dataset of pristine images and fake ones properly generated by nine … |
Luca Guarnera; O. Giudice; S. Battiato; | ACM Transactions on Multimedia Computing, Communications, … | 2024-03-09 |
| 366 | Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we propose a framework to effectively mitigate the disparity in frequency domain of the generated images to improve generative performance of both GAN and diffusion models. |
Seokjun Lee; Seung-Won Jung; Hyunseok Seo; | arxiv-cs.CV | 2024-03-08 |
| 367 | Exposing The Deception: Uncovering More Forgery Clues for Deepfake Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Deepfake technology has given rise to a spectrum of novel and compelling applications. Unfortunately, the widespread proliferation of high-fidelity fake videos has led to … |
ZHONGJIE BA et. al. | ArXiv | 2024-03-04 |
| 368 | Fast Fake: Easy-to-Train Face Swap Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The proliferation of “Deep fake” technologies, particularly those facilitating face-swapping in images or videos, poses significant challenges and opportunities in digital media … |
Tomasz Walczyna; Zbigniew Piotrowski; | Applied Sciences | 2024-03-04 |
| 369 | Evaluating The Effectiveness of A Gan Fingerprint Removal Approach in Fooling Deepfake Face Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep neural networks are able to generate stunningly realistic images, making it easy to fool both technology and humans into distinguishing real images from fake ones. Generative … |
Wasin AlKishri; Setyawan Widyarto; Jabar H. Yousif; | J. Internet Serv. Inf. Secur. | 2024-03-02 |
| 370 | Unveiling The Deepfake Dilemma: Framework, Classification, and Future Trajectories Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake is a type of artificial intelligence technology that makes use of deep learning to generate fake multimedia. A large number of images, audios, and videos have surfaced, … |
Vishal Maniyal; Vijay Kumar; | IT Professional | 2024-03-01 |
| 371 | Hybrid Network of Convolutional Neural Network and Transformer for Deepfake Geographic Image Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Abstract. In recent years, generative adversarial networks have been widely used to generate realistic fake images, and the current research mainly focuses on deepfake detection … |
XIAOYONG LIU et. al. | Journal of Electronic Imaging | 2024-03-01 |
| 372 | Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection Through A Multi-layer Adaptive Framework Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this research, we proposed an adaptable framework that combines Deep learning and Randon Forest to read images, synthesize speech from deep-fake videos, and natural language processing at various predictions layered to significantly increase the performance of machine learning models for phishing attack detection. |
Tosin Ige; Christopher Kiekintveld; Aritran Piplai; | arxiv-cs.CR | 2024-02-27 |
| 373 | Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we analyze the robustness of various AI-image detectors including watermarking and classifier-based deepfake detectors. |
MEHRDAD SABERI et. al. | iclr | 2024-02-26 |
| 374 | DeepFake Detection Based VGG-16 Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This DeepFake technology allows for the creation of convincing fake images and videos that are indistinguishable from real ones, which is causing widespread concern. This work … |
Wurood A. Jbara; Jamila H. Soud; | 2024 2nd International Conference on Cyber Resilience (ICCR) | 2024-02-26 |
| 375 | Deepfake Video Detection Using CNN and RNN with OPTICAL FLOW Features Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent developments in machine learning have produced new technologies that make it simple to produce deepfake videos—videos with convincing face swaps and minimal evidence of … |
Elkapally Mani Sathwik Reddy; Aitipamula Pavan Kumar; P. Swetha; | 2024 IEEE International Students’ Conference on Electrical, … | 2024-02-24 |
| 376 | Binary Classification of News Articles Using Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The proliferation of fake news has emerged as a substantial concern in the contemporary digital era. The advent of social media and online news platforms has significantly … |
Kritika Sukhramani; Harshika Kumre; Akhtar Rasool; Abhishek Jadav; | 2024 IEEE International Students’ Conference on Electrical, … | 2024-02-24 |
| 377 | Human Brain Exhibits Distinct Patterns When Listening to Fake Versus Real Audio: Preliminary Evidence Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we study the variations in human brain activity when listening to real and fake audio. |
Mahsa Salehi; Kalin Stefanov; Ehsan Shareghi; | arxiv-cs.SD | 2024-02-22 |
| 378 | Video Deepfake Detection Using Particle Swarm Optimization Improved Deep Neural Networks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Leandro Cunha; Li Zhang; Bilal I. Sowan; Chee Peng Lim; Yinghui Kong; | Neural Comput. Appl. | 2024-02-22 |
| 379 | Fake News Text Detection Based on Convolutional Neural Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The swift evolution of mobile devices and multimedia technology has made the Internet one of the primary means of learning new information today. However, the huge amount of news … |
Baozhi Fang; Haotian Zhou; | Applied and Computational Engineering | 2024-02-22 |
| 380 | Exposing The Deception: Uncovering More Forgery Clues for Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: These deficiencies culminate in unsatisfactory accuracy and limited generalizability in real-life scenarios. In this paper, we try to tackle these challenges through three designs: (1) We present a novel framework to capture broader forgery clues by extracting multiple non-overlapping local representations and fusing them into a global semantic-rich feature. |
ZHONGJIE BA et. al. | aaai | 2024-02-20 |
| 381 | What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a continual learning approach called Radian Weight Modification (RWM) for audio deepfake detection. |
XIAOHUI ZHANG et. al. | aaai | 2024-02-20 |
| 382 | UFCC: A Unified Forensic Approach to Locating Tampered Areas in Still Images and Detecting Deepfake Videos By Evaluating Content Consistency Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image inpainting and Deepfake techniques have the potential to drastically alter the meaning of visual content, posing a serious threat to the integrity of both images and videos. … |
Po-Chyi Su; Bo-Hong Huang; Tien-Ying Kuo; | Electronics | 2024-02-19 |
| 383 | Detecting Deepfakes Using GAN Manipulation Defects in Human Eyes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The Deepfake phenomenon is very important nowadays because there are possibilities to create very real images that can fool anyone, thanks to deep learning tools based on … |
Elisabeth Tchaptchet; Elie Fute Tagne; Jaime C. Acosta; Danda B. Rawat; Charles A. Kamhoua; | 2024 International Conference on Computing, Networking and … | 2024-02-19 |
| 384 | Deepfake Detection Using Deep Feature Stacking and Meta-learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Gourab Naskar; Sk Mohiuddin; Samir Malakar; Erik Cuevas; Ram Sarkar; | Heliyon | 2024-02-15 |
| 385 | An Efficient Deepfake Video Detection Using Robust Deep Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
ABDUL QADIR et. al. | Heliyon | 2024-02-09 |
| 386 | Deepfake Videos Generation and Detection: A Comprehensive Survey Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid evolution of deepfake technology in recent years brings forth both promising opportunities and formidable challenges. This research paper conducts a thorough exploration … |
Akanksha Gupta; Dilkeshwar Pandey; | 2024 IEEE International Conference on Computing, Power and … | 2024-02-09 |
| 387 | Deepfake for The Good: Generating Avatars Through Face-Swapping with Implicit Deepfake Generation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Deepfakes refers to artificial intelligence-generated videos that closely mimic authentic footage. Using generative models, they can modify facial features, enabling the creation of altered identities or expressions that exhibit a remarkably realistic appearance to a real person. |
GEORGII STANISHEVSKII et. al. | arxiv-cs.CV | 2024-02-09 |
| 388 | Deepfake Detection and The Impact of Limited Computing Capabilities Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: The rapid development of technologies and artificial intelligence makes deepfakes an increasingly sophisticated and challenging-to-identify technique. To ensure the accuracy of … |
Paloma Cantero-Arjona; Alfonso S’anchez-Maci’an; | ArXiv | 2024-02-08 |
| 389 | Masked Conditional Diffusion Model for Enhancing Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, deepfake data to help detect deepfakes. |
TIEWEN CHEN et. al. | arxiv-cs.CV | 2024-02-01 |
| 390 | A Novel Approach for Detecting Deep Fake Videos Using Graph Neural Network Related Papers Related Patents Related Grants Related Venues Related Experts View |
M. M. El-Gayar; Mohamed Abouhawwash; S. S. Askar; Sara Sweidan; | Journal of Big Data | 2024-02-01 |
| 391 | Common Sense Reasoning for Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a new annotated dataset and propose a Vision and Language Transformer-based framework for the DD-VQA task. |
Yue Zhang; Ben Colman; Xiao Guo; Ali Shahriyari; Gaurav Bharaj; | arxiv-cs.CV | 2024-01-31 |
| 392 | A Contemporary Survey on Deepfake Detection: Datasets, Algorithms, and Challenges IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes are notorious for their unethical and malicious applications to achieve economic, political, and social reputation goals. Recent years have seen widespread facial … |
Liang Yu Gong; Xue Jun Li; | Electronics | 2024-01-31 |
| 393 | A Novel Blockchain-Based Deepfake Detection Method Using Federated and Deep Learning Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Arash Heidari; Nima Jafari Navimipour; Hasan Dag; Samira Talebi; Mehmet Unal; | Cognitive Computation | 2024-01-26 |
| 394 | Individual Responsibility Around Deepfakes: It’s No Laughing Matter Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The objectives of this research were to examine the contextual factors that impact individual’s interpretation of their responsibility in the context of Deepfake videos. Using a … |
Stuart Napshin; Jomon Paul; Justin Cochran; | Cyberpsychology, behavior and social networking | 2024-01-24 |
| 395 | Deepfake Detection Using Spatiotemporal Transformer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advances in generative models and the availability of large-scale benchmarks have made deepfake video generation and manipulation easier. Nowadays, the number of new … |
BACHIR KADDAR et. al. | ACM Transactions on Multimedia Computing, Communications … | 2024-01-23 |
| 396 | Identity-Driven Multimedia Forgery Detection Via Reference Assistance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Moreover, official media concerning relevant identities on the Internet can serve as prior knowledge, aiding both the audience and forgery detectors in determining the true identity. Therefore, we propose an identity-driven multimedia forgery dataset, IDForge, which contains 249,138 video shots sourced from 324 wild videos of 54 celebrities collected from the Internet. |
JUNHAO XU et. al. | arxiv-cs.MM | 2024-01-22 |
| 397 | Multiclass AI-Generated Deepfake Face Detection Using Patch-Wise Deep Learning Model IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In response to the rapid advancements in facial manipulation technologies, particularly facilitated by Generative Adversarial Networks (GANs) and Stable Diffusion-based methods, … |
MUHAMMAD ASAD ARSHED et. al. | Comput. | 2024-01-21 |
| 398 | One Detector to Rule Them All? On The Robustness and Generalizability of Current State-of-the-Art Deepfake Detection Methods Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the advancements made in the field of artificial intelligence (AI) in recent years, it has become more accessible to create facial forgeries in images and videos. In … |
R. Frick; Martin Steinebach; | Electronic Imaging | 2024-01-21 |
| 399 | A Comprehensive Study on Mitigating Synthetic Identity Threats Using Deepfake Detection Mechanisms Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Synthetic Identity Threats (SIT) present one of the greatest risks that could undermine the integrity and security of digital systems. These threats adapt Deepfake Technology … |
Shivansh Uppal; Vinayak Banga; Sakshi Neeraj; Abhishek Singhal; | 2024 14th International Conference on Cloud Computing, Data … | 2024-01-18 |
| 400 | Deepfakes – Generating Synthetic Images, and Detecting Artificially Generated Fake Visuals Using Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The abstract delves into the groundbreaking realm of DeepFakes, a revolutionary synthesis of deep learning and synthetic media. Central to DeepFake generation is the utilization … |
Ayushi Mishra; Aadi Bharwaj; Aditya Kumar Yadav; Khushi Batra; Nidhi Mishra; | 2024 14th International Conference on Cloud Computing, Data … | 2024-01-18 |
| 401 | Datasets, Clues and State-of-the-Arts for Multimedia Forensics: An Extensive Review Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Specifically, it presents a detailed analysis of benchmark datasets for malicious manipulation detection that are publicly available. |
Ankit Yadav; Dinesh Kumar Vishwakarma; | arxiv-cs.CV | 2024-01-13 |
| 402 | Frequency Masking for Universal Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our goal is to detect synthetic images from a range of generative AI approaches, particularly from emerging ones which are unseen during training of the deepfake detector. |
Chandler Timm Doloriel; Ngai-Man Cheung; | arxiv-cs.CV | 2024-01-12 |
| 403 | Self-Attention and Hybrid Features for Replay and Deep-Fake Audio Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the successful application of deep learning, audio spoofing detection has made significant progress. Spoofed audio with speech synthesis or voice conversion can be well … |
Lian Huang; Chi-Man Pun; | ArXiv | 2024-01-11 |
| 404 | Preserving Anonymity: Deep-Fake As An Identity-Protection Device and As A Digital Camouflage Related Papers Related Patents Related Grants Related Venues Related Experts View |
Remo Gramigna; | International Journal for the Semiotics of Law – Revue … | 2024-01-10 |
| 405 | Deepfakes – Reality Under Threat? Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, advances in technology, specifically in machine learning, artificial intelligence, and deep learning, have made it possible to create highly convincing fake … |
Md. Shohel Rana; Md Solaiman; Charan Gudla; Md. Fahimuzzman Sohan; | 2024 IEEE 14th Annual Computing and Communication Workshop … | 2024-01-08 |
| 406 | Comparative Analysis of Deep Convolutional Neural Networks for Detecting Medical Image Deepfakes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generative Adversarial Networks (GANs) have exhibited noteworthy advancements across various applications, including medical imaging. While numerous state-of-the-art Deep … |
Abdel Rahman Alsabbagh; Omar Sultan Al-Kadi; | ArXiv | 2024-01-08 |
| 407 | A Novel Approach to Fake News Classification Using LSTM-based Deep Learning Models IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid dissemination of information has been accompanied by the proliferation of fake news, posing significant challenges in discerning authentic news from fabricated … |
Halyna Padalko; Vasyl Chomko; Dmytro Chumachenko; | Frontiers in big data | 2024-01-08 |
| 408 | ETIKA DALAM ERA DEEPFAKE: BAGAIMANA MENJAGA INTEGRITAS KOMUNIKASI Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Penelitian ini bertujuan untuk mengetahui pemecahan masalah etika pada era dimana deepfake merebak, dan memberikan pemahaman mengenai risiko yang bisa ditimbulkan dari pembuatan … |
Intan Leliana; Gema Irhamdhika; A. Haikal; R. Septian; E. Kusnadi; | Jurnal Visi Komunikasi | 2024-01-06 |
| 409 | Implementation of Deep Learning Method for Forgery Detection on Social Media Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, the surge in misinformation and rapid technological advancements has significantly increased the prevalence of media manipulation. The advent of AI-altered videos … |
Atharva Kohapare; Karan Dhongade; Rahul Sukare; Priya Maidamwar; | 2024 2nd International Conference on Intelligent Data … | 2024-01-04 |
| 410 | Linguistic Profiling of Deepfakes: An Open Database for Next-Generation Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address the significant issue, this paper introduces a deepfake database (DFLIP-3K) for the development of convincing and explainable deepfake detection. |
Yabin Wang; Zhiwu Huang; Zhiheng Ma; Xiaopeng Hong; | arxiv-cs.CV | 2024-01-04 |
| 411 | AntiDeepFake: AI for Deep Fake Speech Recognition Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this research study, we propose a modern artificial intelligence (AI) approach to recognize deepfake voice, also known as generative AI cloned synthetic voice. Our proposed AI … |
Enkhtogtokh Togootogtokh; Christian Klasen; | ArXiv | 2024-01-04 |
| 412 | Enhanced Fake News Detection Through The Fusion of Deep Learning and Repeat Vector Representations IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid dissemination of information across social networks, online news portals, and digital platforms has given rise to a pervasive issue—fake news. This misinformation, … |
TANJIM MAHMUD et. al. | 2024 2nd International Conference on Intelligent Data … | 2024-01-04 |
| 413 | FAKE REVIEW DETECTION USING DEEP LEARNING Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the exponential growth of online user-generated content, the issue of fake reviews has become a significant concern, impacting consumer decisions and trust in online … |
Ijsrem Journal; | INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING … | 2024-01-04 |
| 414 | EKYC-DF: A Large-Scale Deepfake Dataset for Developing and Evaluating EKYC Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The reliability of remote identity-proofing systems (i.e., electronic Know Your Customer, or eKYC, systems) is challenged by the development of deepfake generation tools, which … |
Hichem Felouat; H. Nguyen; Trung-Nghia Le; Junichi Yamagishi; Isao Echizen; | IEEE Access | 2024-01-01 |
| 415 | Enhancing Deepfake Detection With Diversified Self-Blending Images and Residuals Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The advancement of deep forgery technology has significantly impacted the credibility of media content, making the detection of deep forgeries crucial for ensuring media security. … |
Qingtong Liu; Ziyu Xue; Haitao Liu; Jing Liu; | IEEE Access | 2024-01-01 |
| 416 | Deepfake Defense: Constructing and Evaluating A Specialized Urdu Deepfake Audio Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View |
SHEZA MUNIR et. al. | Annual Meeting of the Association for Computational … | 2024-01-01 |
| 417 | Improving Generalization of Deepfake Detectors By Imposing Gradient Regularization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid development of face forgery technology has posed a significant threat to information security. While deepfake detection has proven to be an effective countermeasure, it … |
Weinan Guan; Wei Wang; Jing Dong; Bo Peng; | IEEE Transactions on Information Forensics and Security | 2024-01-01 |
| 418 | Novel Sentiment Majority Voting Classifier and Transfer Learning-Based Feature Engineering for Sentiment Analysis of Deepfake Tweets Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake text known as synthetic text, involves using artificial intelligence (AI)-generated text to create fabricated information or imitate actual individuals. Twitter tweets … |
M. KHALID et. al. | IEEE Access | 2024-01-01 |
| 419 | AI-IoT Enabled Surveillance Security: DeepFake Detection and Person Re-Identification Strategies Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: —Face Recognition serves as a biometric tool and technological approach for identifying individuals based on distinctive facial features and physiological characteristics such as … |
Srikanth Bethu; M. Trupthi; Suresh Kumar Mandala; Syed Karimunnisa; Ayesha Banu; | International Journal of Advanced Computer Science and … | 2024-01-01 |
| 420 | Using Graph Neural Networks to Improve Generalization Capability of The Models for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake detection plays a key role in preventing the misuses of artificial intelligence in video editing. Current deep learning-based deepfake detection methods often perform … |
Huimin She; Yongjian Hu; Beibei Liu; Jicheng Li; Chang-Tsun Li; | IEEE Transactions on Information Forensics and Security | 2024-01-01 |
| 421 | Deepfake Detection: Analyzing Model Generalization Across Architectures, Datasets, and Pre-Training Paradigms Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As deepfake technology gains traction, the need for reliable detection systems is crucial. Recent research has introduced various deep learning-based detection systems, yet they … |
Sohail Ahmed Khan; Duc-Tien Dang-Nguyen; | IEEE Access | 2024-01-01 |
| 422 | DEEPFAKE DYSTOPIA: NAVIGATING THE LANDSCAPE OF THREATS AND SAFEGUARDS IN MULTIMEDIA CONTENT Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology, a fusion of deep learning and artificial intelligence, has emerged as a potent tool capable of crafting hyper-realistic yet entirely fabricated multimedia … |
Prakhar Prasoon; P. N. Ramakrishnan; | International Journal of Trendy Research in Engineering and … | 2024-01-01 |
| 423 | Boosting Deep Feature Fusion-Based Detection Model for Fake Faces Generated By Generative Adversarial Networks for Consumer Space Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the consumer space, deep fakes refer to highly realistic, AI-generated images, audio, or videos that mimic real people generated by cutting-edge technologies such as Generative … |
FADWA M. ALROWAIS et. al. | IEEE Access | 2024-01-01 |
| 424 | Diffusion-Inspired Dynamic Models for Enhanced Fake Face Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: : The conventional convolutional U-Net model was originally designed to segment images. Enhanced versions of the architecture with timestep embedding and self-attention inspired … |
Mamadou Dian Bah; Rajjeshwar Ganguly; Mohamed Dahmane; | VISIGRAPP : VISAPP | 2024-01-01 |
| 425 | 4DPM: Deepfake Detection With A Denoising Diffusion Probabilistic Mask Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the face of increasingly realistic fake human faces, research on enhancing the differences between real and fake images is valuable for improving the generalization … |
Rui Yang; Zhenrong Deng; Yushu Zhang; Xiaonan Luo; Rushi Lan; | IEEE Signal Processing Letters | 2024-01-01 |
| 426 | Empirical Assessment of Deepfake Detection: Advancing Judicial Evidence Verification Through Artificial Intelligence Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology poses a profound challenge to the integrity of facial evidence in criminal justice, threatening the authenticity and admissibility of such evidence in the … |
Ebrima Hydara; Masato Kikuchi; Tadachika Ozono; | IEEE Access | 2024-01-01 |
| 427 | Semi-Supervised Deep Domain Adaptation for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the advent and popularity of generative models such as GANs, synthetic image generation and manipu-lation has become commonplace. This has promoted active research in the … |
Md Shamim Seraj; Ankita Singh; Shayok Chakraborty; | 2024 IEEE/CVF Winter Conference on Applications of Computer … | 2024-01-01 |
| 428 | Using Deep Learning to Recognize Fake Faces Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: —In recent times, many fake faces have been created using deep learning and machine learning. Most fake faces made with deep learning are referred to as “deepfake photos.” Our … |
JAFFAR ATWAN et. al. | International Journal of Advanced Computer Science and … | 2024-01-01 |
| 429 | Improving Video Vision Transformer for Deepfake Video Detection Using Facial Landmark, Depthwise Separable Convolution and Self Attention Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we present our result of research in video deepfake detection. We built a deepfake detection system to detect whether a video is a deepfake or real. The deepfake … |
Kurniawan Nur Ramadhani; Rinaldi Munir; N. P. Utama; | IEEE Access | 2024-01-01 |
| 430 | LAA-Net: Localized Artifact Attention Network for High-Quality Deepfakes Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper introduces a novel approach for high-quality deepfake detection called Localized Artifact Attention Network (LAA-Net). Existing methods for high-quality deep-fake … |
DAT NGUYEN et. al. | ArXiv | 2024-01-01 |
| 431 | Fine-Grained Open-Set Deepfake Detection Via Unsupervised Domain Adaptation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake represented by face swapping and face reenactment can transfer the appearance and behavioral expressions of a face in one video image to another face in a different … |
Xinye Zhou; Hu Han; Shiguang Shan; Xilin Chen; | IEEE Transactions on Information Forensics and Security | 2024-01-01 |
| 432 | Examining The Societal Impact and Legislative Requirements of Deepfake Technology: A Comprehensive Study Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes, highly realistic fabricated videos, images, or audios created using artificial intelligence algorithms, have gained widespread attention and raised concerns about their … |
Sami Alanazi; Seemal Asif; Irene Moulitsas; | International Journal of Social Science and Humanity | 2024-01-01 |
| 433 | Investigation of Deep Fake Video Detection Related Papers Related Patents Related Grants Related Venues Related Experts View |
Sarah Riyadh Adnan; Huda Abdulaali Abdulbaqi; | AIP Conference Proceedings | 2024-01-01 |
| 434 | A Review of Deepfake Techniques: Architecture, Detection, and Datasets Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Driven by continuous advancements in artificial intelligence, especially deep learning, the level of realism associated with deepfake technology continues to improve year after … |
Peter Edwards; Jean-Christophe Nebel; Darrel Greenhill; Xing Liang; | IEEE Access | 2024-01-01 |
| 435 | DEEPFAKES AND CYBERSECURITY: DETECTION AND MITIGATION Authors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology, which leverages advanced artificial intelligence (AI) and machine learning techniques to create hyper-realistic but fabricated media, has emerged as a … |
Peter Broklyn; Axel Egon; Ralph Shad; | SSRN Electronic Journal | 2024-01-01 |
| 436 | Domain Generalization Via Aggregation and Separation for Audio Deepfake Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we propose an Aggregation and Separation Domain Generalization (ASDG) method for Audio DeepFake Detection (ADD). Fake speech generated from different methods … |
Yuankun Xie; Haonan Cheng; Yutian Wang; Long Ye; | IEEE Transactions on Information Forensics and Security | 2024-01-01 |
| 437 | A New Approach for Effective Medical Deepfake Detection in Medical Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In today’s world, deepfake technology is being used to generate fake images, sounds, and videos from real images and sounds using deep learning and artificial intelligence … |
Mehmet Karaköse; Hasan Yetiş; Mert Çeçen; | IEEE Access | 2024-01-01 |
| 438 | Customized Convolutional Neural Network for Accurate Detection of Deep Fake Images in Video Collections Related Papers Related Patents Related Grants Related Venues Related Experts View |
Dmitry Gura; Bo Dong; Dua’a Mehiar; Nidal Al Said; | Computers, Materials & Continua | 2024-01-01 |
| 439 | Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most companies nowadays are using digital platforms for the recruitment of new employees to make the hiring process easier. The rapid increase in the use of online platforms for … |
NATASHA AKRAM et. al. | IEEE Access | 2024-01-01 |
| 440 | Deep Neural Networks Approach with Transfer Learning to Detect Fake Accounts Social Media on Twitter Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The massive use of social media makes people take actions that have a negative impact on cyberspace, such as creating fake accounts that aim to commit crimes such as spam and … |
ARIF RIDHO LUBIS et. al. | Indonesian Journal of Electrical Engineering and Computer … | 2024-01-01 |
| 441 | Hybrid Deep Learning Model Based on GAN and RESNET for Detecting Fake Faces Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: While human brains have the ability to distinguish face characteristics, the use of advanced technology and artificial intelligence blurs the difference between actual and … |
Soha Safwat; Ayat Mahmoud; Ibrahim Eldesouky Fattoh; Farid Ali; | IEEE Access | 2024-01-01 |
| 442 | A Review of Deep Learning Techniques for Multimodal Fake News and Harmful Languages Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The detection of fake news and harmful languages has become increasingly important in today’s digital age. As the prevalence of fake news and harmful languages continue to … |
Eniafe Festus Ayetiran; Özlem Özgöbek; | IEEE Access | 2024-01-01 |
| 443 | Legal Analysis on The Use of Deepfake Technology: Threats to Indonesian Banking Institutions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Rencana transformasi digital yang dilaksanakan oleh Otoritas Jasa Keuangan dalam industri perbankan telah memberikan dampak nyata dalam mempercepat evolusi perbankan Indonesia … |
Indra Jaya Gunawan; Sylvia Janisriwati; | Law and Justice | 2023-12-31 |
| 444 | DeepFake Videos Detection and Classification Using Resnext and LSTM Neural Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake videos, which are artificial intelligence-altered videos that have acquired extensive awareness recently. Deep learning algorithms are utilized to create these deepfake … |
Suman Patel; S. K. Chandra; Amit Jain; | 2023 3rd International Conference on Smart Generation … | 2023-12-29 |
| 445 | Two-Branch Deepfake Detection Network Based on Improved Xception Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the continuous development of computer technology, the level of AI technology has also been greatly improved. But it comes with growing security and ethical challenges, … |
Rui Zhang; Zixuan Jiang; Changxu Sun; | 2023 IEEE International Conference on Electrical, … | 2023-12-29 |
| 446 | Regulating Deep Fakes in The Artificial Intelligence Act Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The Artificial Intelligence Act (AI Act) may be a milestone in the regulation of artificial intelligence by the European Union. The regulatory framework proposed by the European … |
Mateusz Łabuz; | Applied Cybersecurity & Internet Governance | 2023-12-28 |
| 447 | AESTHETICS OF DEEPFAKE ‒ SPHERE OF ART AND ENTERTAINMENT INDUSTRY Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The usage of artificial intelligence is one of the main characteristics of contemporary society. Deepfake is one among other forms of AI that uses artificial intelligence called … |
Ivana Stojanović Prelević; Zaaresh Zehra; | Facta Universitatis, Series: Visual Arts and Music | 2023-12-27 |
| 448 | Twitter Fake News Detection Using Graph Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This article is devoted to the intellectual processing of text information for the purpose of detecting rail news. To solve the given task, the use of deep graph neural networks … |
V. Sineglazov; Kyrylo Bylym; | Electronics and Control Systems | 2023-12-27 |
| 449 | A Comprehensive Review of DeepFake Detection Using Advanced Machine Learning and Fusion Methods IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advances in Generative Artificial Intelligence (AI) have increased the possibility of generating hyper-realistic DeepFake videos or images to cause serious harm to … |
GOURAV GUPTA et. al. | Electronics | 2023-12-25 |
| 450 | Analysis of Methods for Detecting Attacks on Facial Biometric Authentication in Mobile Devices Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The object of the research is facial biometric authentication in the context of mobile devices (financial and government applications, etc.) of the Android and IOS platforms. The … |
O.D. Dolhanenko; O.V. Sievierinov; D.O. Viukhin; V.P. Kotsiuba; A.V. Krepko; | Radiotekhnika | 2023-12-25 |
| 451 | Deep Fake Detection: Unmasking The Illusion Using CNN and LSTM Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Concerns regarding the veracity of digital media have arisen due to the development of deepfake technology. In order to effectively combat this new threat, this study offers a … |
V. Niranjani; S. Aishwarya; T. Devamitra; B. Jagapreetha; | 2023 3rd International Conference on Innovative Mechanisms … | 2023-12-21 |
| 452 | A GENERATIVE MODEL FOR DEEP FAKE AUGMENTATION OF PHONOCARDIOGRAM AND ELECTROCARDIOGRAM SIGNALS USING LSGAN AND CYCLE GAN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In order to diagnose a range of cardiac conditions, it is important to conduct an accurate evaluation of either phonocardiogram (PCG) and electrocardiogram (ECG) data. Artificial … |
Swarajya Madhuri Rayavarapu; Tammineni Shanmukha Prasanthi; G. S. Kumar; G. Sasibhushana Rao; Gottapu Prashanti; | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie … | 2023-12-20 |
| 453 | AI Take-Over in Literature and Culture: Truth, Post-Truth, and Simulation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In a world that is increasingly lost to narrative building, deep fakes, simulation of realities and dissemination of fake news generated by artificial intelligence (AI), we are … |
Sumanta Pramanik; Shri Krishan Rai; | Rupkatha Journal on Interdisciplinary Studies in Humanities | 2023-12-18 |
| 454 | Unmasking Deepfake Faces from Videos Using An Explainable Cost-Sensitive Deep Learning Approach Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our main contribution is to show the models adaptability and effectiveness in correctly identifying deepfake faces in videos. |
Faysal Mahmud; Yusha Abdullah; Minhajul Islam; Tahsin Aziz; | arxiv-cs.CV | 2023-12-17 |
| 455 | DETER: Detecting Edited Regions for Deterring Generative Manipulations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To counteract the shortcomings, we introduce DETER, a large-scale dataset for DETEcting edited image Regions and deterring modern advanced generative manipulations. |
SAI WANG et. al. | arxiv-cs.CV | 2023-12-16 |
| 456 | What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a continual learning approach called Radian Weight Modification (RWM) for audio deepfake detection. |
XIAOHUI ZHANG et. al. | arxiv-cs.SD | 2023-12-15 |
| 457 | The Performance of Machine and Deep Learning Algorithms in Detecting Fake Reviews Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The advent of the Internet has enabled everyone with access to it to provide their views online. This freedom of expression has also resulted in an increasing amount of … |
Bharkavi Sachithanandam; A. Namin; Faranak Abri; | 2023 IEEE International Conference on Big Data (BigData) | 2023-12-15 |
| 458 | Complementary Attention-Based Deep Learning Detection of Fake Faces Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The access to large-scale public databases along with the fast progress of deep learning techniques have led to the generation of very realistic fake content. This has raised … |
Supriyo Sadhya; Xiaojun Qi; | 2023 IEEE International Conference on Big Data (BigData) | 2023-12-15 |
| 459 | AVA: Inconspicuous Attribute Variation-based Adversarial Attack Bypassing DeepFake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Unfortunately, most related detection algorithms to mitigate the abuse issues are inherently vulnerable to adversarial attacks because they are built atop DNN-based classification models, and the literature has demonstrated that they could be bypassed by introducing pixel-level perturbations. Though corresponding mitigation has been proposed, we have identified a new attribute-variation-based adversarial attack (AVA) that perturbs the latent space via a combination of Gaussian prior and semantic discriminator to bypass such mitigation. |
Xiangtao Meng; Li Wang; Shanqing Guo; Lei Ju; Qingchuan Zhao; | arxiv-cs.CV | 2023-12-14 |
| 460 | Face Warping Deepfake Detection and Localization in A Digital Video Using Transfer Learning Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generative AI (GenAI) can generate high-resolution and complex content mimicking the creativity of humans, thereby benefiting industries such as gaming, entertainment, and product … |
R. Dhanaraj; M. Sri̇devi̇; | Journal of Metaverse | 2023-12-14 |
| 461 | Enhancing Face Forgery Detection in A Decentralized Landscape: A Federated Learning Approach with ResNet Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advancements in technologies could be the reason for fake image and video generation over the internet. This may be the cause of fake identity creation over the internet … |
Vinay Gautam; Himani Maheshwari; R. Tiwari; A. Agarwal; N. Trivedi; | 2023 2nd International Conference on Automation, Computing … | 2023-12-11 |
| 462 | Review: DeepFake Detection Techniques Using Deep Neural Networks (DNN) Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the age of advanced digital manipulation, deepfake videos pose a significant threat to society by allowing the creation of highly convincing counterfeit footage. The … |
Harsh Chotaliya; Mohammed Adil Khatri; Shubham Kanojiya; Mandar Bivalkar; | 2023 6th International Conference on Advances in Science … | 2023-12-08 |
| 463 | Exploding AI-Generated Deepfakes and Misinformation: A Threat to Global Concern in The 21st Century Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The term ‘deepfake’ was coined in 2018 by a Reddit user who created a Reddit forum dedicated to the creation and use of deep learning software for synthetically face-swapping … |
Dr. Bharat Dhiman; | Qeios | 2023-12-07 |
| 464 | Fuzzy Deep Hybrid Network for Fake News Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: The proliferation of fake news in the digital age poses a significant threat to the democratic process and undermines trust in the media. As disinformation campaigns become more … |
Cheng Xu; Mohand-Tahar Kechadi; | Proceedings of the 12th International Symposium on … | 2023-12-07 |
| 465 | DeepFND: An Ensemble-based Deep Learning Approach for The Optimization and Improvement of Fake News Detection in Digital Platform Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Early identification of false news is now essential to save lives from the dangers posed by its spread. People keep sharing false information even after it has been debunked. … |
Venkatachalam K; Badriyya B Al-Onazi; Vladimir Simic; Erfan Babaee Tirkolaee; Chiranjibe Jana; | PeerJ. Computer science | 2023-12-07 |
| 466 | A Hybrid Xception-LSTM Model with Channel and Spatial Attention Mechanism for Deepfake Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The great strides taken in recent times in image and video manipulation have raised serious concerns. Deepfake technology uses deep learning approaches to create highly realistic, … |
Deepak Dagar; D. Vishwakarma; | 2023 3rd International Conference on Mobile Networks and … | 2023-12-04 |
| 467 | Deepfake Technology: Negative Impacts, Mitigation Methods, and Preventive Algorithms Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes technology allows the act of generating fake content via deep generative methods. The current technology of deepfake techniques can create life-like images, audio, and … |
NICHOLAS HERNAN GONZALES et. al. | 2023 IEEE 8th International Conference on Recent Advances … | 2023-12-02 |
| 468 | Model-Agnostic Method: Exposing Deepfake Using Pixel-Wise Spatial and Temporal Fingerprints Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake poses a serious threat to the reliability of judicial evidence and intellectual property protection. Existing detection methods either blindly utilize deep learning or … |
JUN YANG et. al. | IEEE Transactions on Big Data | 2023-12-01 |
| 469 | Concentric Ring Loss for Face Forgery Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The issue of detecting face forgeries has garnered significant interest in the field of computer vision, primarily driven by the growing social concerns of indistinguishable … |
Yu Yin; Yue Bai; Yizhou Wang; Yun Fu; | 2023 IEEE International Conference on Data Mining (ICDM) | 2023-12-01 |
| 470 | Investigating The Effectiveness of Deep Learning Approaches for Deep Fake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As a result of notable progress in image processing and machine learning algorithms, generating, modifying, and manufacturing superior quality images has become less complicated. … |
Mohammed Berrahal; Mohammed Boukabous; Mimoun Yandouzi; Mounir Grari; Idriss Idrissi; | Bulletin of Electrical Engineering and Informatics | 2023-12-01 |
| 471 | Deepfake Generation and Detection – An Exploratory Study Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes generated through algorithms based on deep learning have obtained a lot of interest recently. Deepfakes are utilized to manipulate content (audio, video and image) with … |
Diya Garg; Rupali Gill; | 2023 10th IEEE Uttar Pradesh Section International … | 2023-12-01 |
| 472 | Decentralized Deepfake Detection Blockchain Network Using Dynamic Algorithm Management Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a comprehensive framework for a blockchain-based decentralized system designed to tackle the escalating challenge of digital content integrity. |
Dipankar Sarkar; | arxiv-cs.CR | 2023-11-30 |
| 473 | DEEPFAKER: A Unified Evaluation Platform for Facial Deepfake and Detection Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake data contains realistically manipulated faces—its abuses pose a huge threat to the security and privacy-critical applications. Intensive research from academia and … |
LI WANG et. al. | ACM Transactions on Privacy and Security | 2023-11-29 |
| 474 | Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present the first realistic audio-visual database of deepfakes SWAN-DF, where lips and speech are well synchronized and video have high visual and audio qualities. |
Pavel Korshunov; Haolin Chen; Philip N. Garner; Sebastien Marcel; | arxiv-cs.CV | 2023-11-29 |
| 475 | AI in The Era of Fakes and Deepfakes: Risk of Fabricated Photographs and Identities in Academic Publishing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Academic publishing has entered an era of fake, including fake authors who are either real entities using fake credentials, or totally concocted personalities that give the … |
Jaime A. Teixeira da Silva; | Journal of Information Security and Cybercrimes Research | 2023-11-28 |
| 476 | From Deepfake to Deep Useful: Risks and Opportunities Through A Systematic Literature Review Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The present study aims to collect and analyze the relevant literature through a systematic procedure. We present 27 articles from scientific databases revealing threats to society, democracies, the political life but present as well advantages of this technology in entertainment, gaming, education, and public life. |
Nikolaos Misirlis; Harris Bin Munawar; | arxiv-cs.SI | 2023-11-27 |
| 477 | Deepfake Detection with and Without Content Warnings Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We conduct an experiment to measure people’s alertness to and ability to detect a high-quality deepfake among a set of videos. |
Andrew Lewis; Patrick Vu; Raymond M Duch; Areeq Chowdhury; | Royal Society open science | 2023-11-27 |
| 478 | Unsupervised Multimodal Deepfake Detection Using Intra- and Cross-Modal Inconsistencies Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel unsupervised method for detecting deepfake videos by directly identifying intra-modal and cross-modal inconsistency between video segments. |
Mulin Tian; Mahyar Khayatkhoei; Joe Mathai; Wael AbdAlmageed; | arxiv-cs.CV | 2023-11-27 |
| 479 | Deepfake Detection for Preventing Audio and Video Frauds Using Advanced Deep Learning Techniques Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes, powered by generative adversarial networks (GANs), automate the creation of deceptive videos. To combat this menace, the study assembles an advanced model that fuses … |
RAKHI BHARADWAJ et. al. | 2023 International Conference on Integrated Intelligence … | 2023-11-24 |
| 480 | Enhanced Preprocessing Stage For Feature Extraction of Deepfake Detection Based on Deep Learning Methods Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Biometric identities are at risk of deepfake facial manipulation. Over the past few years, deepfake detection has been the subject of extensive research, most which centered on … |
Mohamed Abdulrahman Abdulhamid; A. Hashim; | 2023 7th International Symposium on Innovative Approaches … | 2023-11-23 |
| 481 | Detecting Deepfakes Using CNN and LSTM Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake, a face-swapping method that has been abused recently, has caused a great deal of public worry. Effective countermeasures are required because several deepfake videos, … |
REVA CHINCHALKAR et. al. | 2023 Second International Conference on Informatics (ICI) | 2023-11-23 |
| 482 | Deepfake Detection Using Deep Learning Methods: A Systematic and Comprehensive Review IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep Learning (DL) has been effectively utilized in various complicated challenges in healthcare, industry, and academia for various purposes, including thyroid diagnosis, lung … |
Arash Heidari; Nima Jafari Navimipour; Hasan Dag; Mehmet Unal; | WIREs Data. Mining. Knowl. Discov. | 2023-11-20 |
| 483 | Unearthing Common Inconsistency for Generalisable Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduced a temporally-preserved module method to introduce spatial noise perturbations, directing the model’s attention towards temporal information. |
Beilin Chu; Xuan Xu; Weike You; Linna Zhou; | arxiv-cs.CV | 2023-11-20 |
| 484 | Enhancing Identity Verification: Deep Learning for Real and Fake Face Classification in Medical Application Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A crucial problem in enabling machines to distinguish real identities from fake ones is the classification of real and fake human looks. This research explores these complexities … |
Susmita Panda; Mohit Ranjan Panda; | 2023 2nd International Conference on Ambient Intelligence … | 2023-11-17 |
| 485 | A Lightweight Algorithm for Detecting Fake Multimedia Contents on Social Media Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The significant growth of the fourth industrial revolution (Industry 4.0) coupled with the widespread adoption of social media across the world has initiated new challenges that … |
Arnold Mashud Abukari; Jhansi Bharathi Madavarapu; E. K. Bankas; | Earthline Journal of Mathematical Sciences | 2023-11-16 |
| 486 | Efficient Temporally-Aware DeepFake Detection Using H.264 Motion Vectors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In contrast, we propose using the related but often ignored Motion Vectors (MVs) and Information Masks (IMs) from the H.264 video codec, to detect temporal inconsistencies in DeepFakes. |
Peter Grönquist; Yufan Ren; Qingyi He; Alessio Verardo; Sabine Süsstrunk; | arxiv-cs.CV | 2023-11-16 |
| 487 | AntiFake: Using Adversarial Audio to Prevent Unauthorized Speech Synthesis IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid development of deep neural networks and generative AI has catalyzed growth in realistic speech synthesis. While this technology has great potential to improve lives, it … |
Zhiyuan Yu; Shixuan Zhai; Ning Zhang; | Proceedings of the 2023 ACM SIGSAC Conference on Computer … | 2023-11-15 |
| 488 | An Enhanced Deepfake Video Detection Technique Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A deepfake is a piece of digital material that has been altered, such as a picture or a video in which the subject’s likeness has been substituted. Deepfake is a real danger to … |
MARIAM ALKAABI et. al. | 2023 15th International Conference on Innovations in … | 2023-11-14 |
| 489 | Deepfake Detection Using XceptionNet Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents a precise and highly efficient method for detecting deepfakes, which have become increasingly accessible via mobile applications, posing significant threats to … |
Ashok V; P. Joy; | 2023 IEEE International Conference on Recent Advances in … | 2023-11-08 |
| 490 | Weakly-supervised Deepfake Localization in Diffusion-generated Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we frame this task as a weakly-supervised localization problem and identify three main categories of methods (based on either explanations, local scores or attention), which we compare on an equal footing by using the Xception network as the common backbone architecture. |
Dragos Tantaru; Elisabeta Oneata; Dan Oneata; | arxiv-cs.CV | 2023-11-08 |
| 491 | CapST: Leveraging Capsule Networks and Temporal Attention for Accurate Model Attribution in Deep-fake Videos Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We formulate the task as a multiclass classification problem and introduce a novel Capsule-Spatial-Temporal (CapST) model that integrates a truncated VGG19 network for feature extraction, capsule networks for hierarchical encoding, and a spatio-temporal attention mechanism. |
Wasim Ahmad; Yan-Tsung Peng; Yuan-Hao Chang; Gaddisa Olani Ganfure; Sarwar Khan; | arxiv-cs.CV | 2023-11-07 |
| 492 | MFAAN: Unveiling Audio Deepfakes with A Multi-Feature Authenticity Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Audio deepfakes, in particular, can be deceptively realistic, posing significant risks in misinformation campaigns. To address this threat, we introduce the Multi-Feature Audio Authenticity Network (MFAAN), an advanced architecture tailored for the detection of fabricated audio content. |
Karthik Sivarama Krishnan; Koushik Sivarama Krishnan; | arxiv-cs.SD | 2023-11-06 |
| 493 | Fake News Detection Using Optimized Deep Learning Model Through Effective Feature Extraction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Internet plays a vital role in the propagation of data through public networks or websites due to which Fake news is produced for commercial and political benefits to misinform … |
Arati Chabukswar; P. D. Shenoy; V. R.; | 2023 International Conference on Recent Advances in … | 2023-11-06 |
| 494 | AV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Video Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study proposes a new method based on a multi-modal self-supervised-learning (SSL) feature extractor to exploit inconsistency between audio and visual modalities for multi-modal video forgery detection. |
Sahibzada Adil Shahzad; Ammarah Hashmi; Yan-Tsung Peng; Yu Tsao; Hsin-Min Wang; | arxiv-cs.CV | 2023-11-05 |
| 495 | Fake-checker: A Fusion of Texture Features and Deep Learning for Deepfakes Detection Related Papers Related Patents Related Grants Related Venues Related Experts View |
Noor ul Huda; Ali Javed; Kholoud Maswadi; Ali Alhazmi; Rehan Ashraf; | Multim. Tools Appl. | 2023-11-03 |
| 496 | Reverse Engineering of Generative Models: Inferring Model Hyperparameters From Generated Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Identifying and understanding manipulated media are crucial to mitigate the social concerns on the potential misuse of GMs. We propose to perform reverse engineering of GMs to infer model hyperparameters from the images generated by these models. |
Vishal Asnani; Xi Yin; Tal Hassner; Xiaoming Liu; | IEEE transactions on pattern analysis and machine … | 2023-11-03 |
| 497 | Deep Dive Into Fake News Detection: Feature-Centric Classification with Ensemble and Deep Learning Methods Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The online spread of fake news on various platforms has emerged as a significant concern, posing threats to public opinion, political stability, and the dissemination of reliable … |
F. Alarfaj; Jawad Abbas Khan; | Algorithms | 2023-11-03 |
| 498 | Detecting Deepfakes Without Seeing Any IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: For instance, when impersonating Obama, the attacker explicitly or implicitly claims that the fake media show Obama; ii) current generative techniques cannot perfectly synthesize the false facts claimed by the attacker. We therefore introduce the concept of fact checking, adapted from fake news detection, for detecting zero-day deepfake attacks. |
Tal Reiss; Bar Cavia; Yedid Hoshen; | arxiv-cs.CV | 2023-11-02 |
| 499 | Robust Identity Perceptual Watermark Against Deepfake Face Swapping Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, to fulfill the research gap, we propose the first robust identity perceptual watermarking framework that concurrently performs detection and source tracing against Deepfake face swapping proactively. |
Tianyi Wang; Mengxiao Huang; Harry Cheng; Bin Ma; Yinglong Wang; | arxiv-cs.CV | 2023-11-02 |
| 500 | A Survey on Deepfake Video Detection Datasets Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake video has usefulness in entertainment and multimedia technology, however, the danger of deepfake is significant to the social, economical, and political sectors so far. … |
Md. Fahimuzzman Sohan; Md Solaiman; Md Aumit Hasan; | Indonesian Journal of Electrical Engineering and Computer … | 2023-11-01 |
| 501 | FakePoI: A Large-Scale Fake Person of Interest Video Detection Benchmark and A Strong Baseline Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technique can synthesize realistic images, audios, and videos, facilitating the thriving of entertainment, education, healthcare, and other industries. However, its abuse … |
Lulu Tian; H. Yao; Ming Li; | IEEE Transactions on Circuits and Systems for Video … | 2023-11-01 |
| 502 | The Concept of Deepfake in Russian Law, Classification of Deepfake and Issues of Their Legal Regulation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The article deals with the issues of legal regulation of deepfake in the Russian Federation. Legal regulation of deepfake does not keep up with the pace of development of … |
N. F. Bodrov; A. K. Lebedeva; | Юридические исследования | 2023-11-01 |
| 503 | Exploring Spatial–temporal Features Fusion Model for Deepfake Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Abstract. The rapid development of Deepfake technology has posed significant challenges in detecting fake videos. In response to the existing problems in reference frame … |
Jiujiu Wu; Jiyu Zhou; Danyu Wang; Lin Wang; | Journal of Electronic Imaging | 2023-11-01 |
| 504 | Detection of Deep Fake Images Using Convolutional Neural Networks IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Images are frequently manipulated for various purposes, often serving the interests of specific parties. Given that images are commonly regarded as evidence of reality, their … |
Gaurav Aggarwal; A. Srivastava; Kavita Jhajharia; Neha V. Sharma; Gurinder Singh; | 2023 3rd International Conference on Technological … | 2023-11-01 |
| 505 | Deep Classifiers and Wavelet Transformation for Fake Image Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The paper presents the computer system for detecting deep fake images in video films. The system is based on applyingcontinuous wavelet transformation combined with the ensemble … |
Stanislaw Osowski; Maciej Golgowski; | Journal of Telecommunications and Information Technology | 2023-10-31 |
| 506 | Analysis of Spectro-Temporal Modulation Representation for Deep-Fake Speech Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep-fake speech detection aims to develop effective techniques for identifying fake speech generated using advanced deep-learning methods. It can reduce the negative impact of … |
Haowei Cheng; Candy Olivia Mawalim; Kai Li; Lijun Wang; Masashi Unoki; | 2023 Asia Pacific Signal and Information Processing … | 2023-10-31 |
| 507 | Deepfake-speech Detection with Pathological Features and Multilayer Perceptron Neural Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake speech, a misuse of speech technology, is of great concern since it seems natural and is difficult to detect. Although many methods using various speech features have … |
Anuwat Chaiwongyen; Suradej Duangpummet; Jessada Karnjana; W. Kongprawechnon; Masashi Unoki; | 2023 Asia Pacific Signal and Information Processing … | 2023-10-31 |
| 508 | Deepfake Detection By Exploiting Surface Anomalies: The SurFake Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose to investigate how deepfake creation can impact on the characteristics that the whole scene had at the time of the acquisition. |
Andrea Ciamarra; Roberto Caldelli; Federico Becattini; Lorenzo Seidenari; Alberto Del Bimbo; | arxiv-cs.CV | 2023-10-31 |
| 509 | Face Manipulated Deepfake Generation and Recognition Approaches: A Survey Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the progression of deep-learning techniques, digital media recording and synthesis media generation have become exceptionally easy. Due to open access of user-friendly … |
Mansi Rehaan; Nirmal Kaur; Staffy Kingra; | Smart Science | 2023-10-30 |
| 510 | FLORIDA: Fake-looking Real Images Dataset Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although extensive research has been carried out to evaluate the effectiveness of AI tools and models in detecting deep fakes, the question remains unanswered regarding whether these models can accurately identify genuine images that appear artificial. In this study, as an initial step towards addressing this issue, we have curated a dataset of 510 genuine images that exhibit a fake appearance and conducted an assessment using two AI models. |
Ali Borji; | arxiv-cs.CV | 2023-10-29 |
| 511 | Language-focused Deepfake Detection Using Phonemes, Mouth Movements, and Video Features Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The potential implications of Artificial Intelligence (AI) and Deep Learning (DL) algorithms in generating highly realistic deepfake videos have raised concerns regarding the … |
Jonas Krause; A. Inácio; H. Lopes; | 2023 IEEE Latin American Conference on Computational … | 2023-10-29 |
| 512 | MalFake: A Multimodal Fake News Identification for Malayalam Using Recurrent Neural Networks and VGG-16 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: When we take into the context of India, there are many regional languages, and fake news is spreading in every language. |
Adhish S. Sujan; Ajitha. V; Aleena Benny; Amiya M. P.; V. S. Anoop; | arxiv-cs.CL | 2023-10-27 |
| 513 | AntifakePrompt: Prompt-Tuned Vision-Language Models Are Fake Image Detectors IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, being inspired by the zero-shot advantages of Vision-Language Models (VLMs), we propose a novel approach called AntifakePrompt, using VLMs (e.g., InstructBLIP) and prompt tuning techniques to improve the deepfake detection accuracy over unseen data. |
You-Ming Chang; Chen Yeh; Wei-Chen Chiu; Ning Yu; | arxiv-cs.CV | 2023-10-26 |
| 514 | Spatio-Temporal Catcher: A Self-Supervised Transformer for Deepfake Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As deepfake technology has become increasingly sophisticated and accessible, making it easier for individuals with malicious intent to create convincing fake content, which has … |
MAOSEN LI et. al. | Proceedings of the 31st ACM International Conference on … | 2023-10-26 |
| 515 | SiFDetectCracker: An Adversarial Attack Against Fake Voice Detection Based on Speaker-Irrelative Features Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Voice is a vital medium for transmitting information. The advancement of speech synthesis technology has resulted in high-quality synthesized voices indistinguishable from human … |
Xuan Hai; Xin Liu; Yuan Tan; Qingguo Zhou; | Proceedings of the 31st ACM International Conference on … | 2023-10-26 |
| 516 | BiFPro: A Bidirectional Facial-data Protection Framework Against DeepFake Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid progress of the DeepFake technique has caused severe privacy problems. Thus protecting facial data against DeepFake becomes an urgent requirement. Face protection can be … |
HONGGU LIU et. al. | Proceedings of the 31st ACM International Conference on … | 2023-10-26 |
| 517 | Audio Deepfake Detection By Using Machine and Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fake voices are one of the hottest topics in cyber security, forensics, and social media. There are a variety of usage scenarios, from speech disorders to fake news to telephone … |
H. Kilinç; Faruk Kaledibi; | 2023 10th International Conference on Wireless Networks and … | 2023-10-26 |
| 518 | Do Deepfake Videos Undermine Our Epistemic Trust? A Thematic Analysis of Tweets That Discuss Deepfakes in The Russian Invasion of Ukraine IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study uses a thematic analysis on tweets relating to deepfakes and the Russo-Ukrainian war to explore how people react to deepfake content online, and to uncover evidence of previously theorised harms of deepfakes on trust. |
JOHN TWOMEY et. al. | PloS one | 2023-10-25 |
| 519 | Using Recurrent and Convulation Neural Networks to Indentify The Fake Audio Messages Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the improvement of deep fake technology, the problem of detecting fabricated audio has gained significant proportions. And if in peacetime, people, in the majority, can … |
Artem Khovrat; V. Kobziev; | 2023 IEEE 7th International Conference on Methods and … | 2023-10-24 |
| 520 | Realistic Facial Deep Fakes Detection Through Self-Supervised Features Generated By A Self-Distilled Vision Transformer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Several large-scale datasets and models to detect deep fake content and aid in combatting its harms have emerged. The best models usually combine Vision Transformers with … |
Bruno Rocha Gomes; A. Busson; J. Boaro; S. Colcher; | Proceedings of the 29th Brazilian Symposium on Multimedia … | 2023-10-23 |
| 521 | Deepfake Attacks: Generation, Detection, Datasets, Challenges, and Research Directions IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent years have seen a substantial increase in interest in deepfakes, a fast-developing field at the nexus of artificial intelligence and multimedia. These artificial media … |
Amal Naitali; Mohammed Ridouani; Fatima Salahdine; N. Kaabouch; | Comput. | 2023-10-23 |
| 522 | Robust Audio Anti-Spoofing System Based on Low-Frequency Sub-Band Information Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The current audio anti-spoofing systems usually have a computationally complex architecture without providing the fundamental discriminative factors for the detection judgments. … |
Meng Li; Xiao-Ping Zhang; | 2023 IEEE Workshop on Applications of Signal Processing to … | 2023-10-22 |
| 523 | SAFE: Sequential Attentive Face Embedding with Contrastive Learning for Deepfake Video Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel sequential attentive face embedding, SAFE, that can capture facial dynamics in a deepfake video. |
Juho Jung; Chaewon Kang; Jeewoo Yoon; Simon S. Woo; Jinyoung Han; | cikm | 2023-10-21 |
| 524 | AVTENet: Audio-Visual Transformer-based Ensemble Network Exploiting Multiple Experts for Video Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by the recent success of Transformer in various fields, to address the challenges posed by deepfake technology, in this paper, we propose an Audio-Visual Transformer-based Ensemble Network (AVTENet) framework that considers both acoustic manipulation and visual manipulation to achieve effective video forgery detection. |
Ammarah Hashmi; Sahibzada Adil Shahzad; Chia-Wen Lin; Yu Tsao; Hsin-Min Wang; | arxiv-cs.CV | 2023-10-19 |
| 525 | Unmasking DeepFake Visual Content with Generative AI Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advances in deep learning-based generative models have increased the proliferation of fake media, which has caused severe unrest globally. These generative models can … |
Mohendra Roy; Mehul S Raval; | 2023 IEEE 11th Region 10 Humanitarian Technology Conference … | 2023-10-16 |
| 526 | Joint Audio-Visual Attention with Contrastive Learning for More General Deepfake Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the continuous advancement of deepfake technology, there has been a surge in the creation of realistic fake videos. Unfortunately, the malicious utilization of deepfake poses … |
Yibo Zhang; Weiguo Lin; Junfeng Xu; | ACM Transactions on Multimedia Computing, Communications … | 2023-10-11 |
| 527 | Facial Forgery-based Deepfake Detection Using Fine-Grained Features Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we formulate deepfake detection as a fine-grained classification problem and propose a new fine-grained solution to it. |
Aakash Varma Nadimpalli; Ajita Rattani; | arxiv-cs.CV | 2023-10-10 |
| 528 | Exploring Neurophysiological Responses to Cross-Cultural Deepfake Videos Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake videos, which use artificial intelligence techniques to create realistic but fabricated footage, have raised concerns regarding their potential to deceive and manipulate … |
MUHAMMAD RIYYAN KHAN et. al. | Companion Publication of the 25th International Conference … | 2023-10-09 |
| 529 | Deepfake Face Provenance for Proactive Forensics Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Malicious deepfake face not only violates the privacy of personal identities, but also confuses the public and causes huge social harm. The current deepfake detection only stays … |
Jiaxin Ai; Zhongyuan Wang; Baojin Huang; Zhen Han; Qin Zou; | 2023 IEEE International Conference on Image Processing … | 2023-10-08 |
| 530 | Cross-domain Robust Deepfake Bias Expansion Network for Face Forgery Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Meanwhile, attaining cross-domain robustness for data-based methods poses a challenge due to potential gaps in the training data, which may not encompass samples from all relevant domains. Therefore, in this paper, we introduce a solution – a Cross-Domain Robust Bias Expansion Network (BENet) – designed to enhance face forgery detection. |
Weihua Liu; Lin Li; Chaochao Lin; Said Boumaraf; | arxiv-cs.CV | 2023-10-08 |
| 531 | CDNet: Cluster Decision for Deepfake Detection Generalization IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The fast development of deepfake generation technology has caused serious security threats to human society. Many deep-fake detection methods have been proposed recently, but most … |
Zeming Hou; Zhongyun Hua; Kuiyuan Zhang; Yushu Zhang; | 2023 IEEE International Conference on Image Processing … | 2023-10-08 |
| 532 | Improving Generalization in Facial Manipulation Detection Using Image Noise Residuals and Temporal Features Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The high visual quality of modern deepfakes raises significant concerns about the trustworthiness of digital media and makes facial tampering detection more challenging. Although … |
Mehdi Atamna; Iuliia Tkachenko; Serge Miguet; | 2023 IEEE International Conference on Image Processing … | 2023-10-08 |
| 533 | Improving DeepFake Video Detection Performance with A Noval Deep Learning Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rise in both the quantity and sophistication of deepfake videos, the need for robust detection systems to identify potentially misleading content on social media and the … |
Mona A. Fouda; W. El-shafai; El-Sayed M. El-Rabaie; | 2023 3rd International Conference on Electronic Engineering … | 2023-10-07 |
| 534 | Securing Voice Biometrics: One-Shot Learning Approach for Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While several deep learning models for speech synthesis detection have been developed, most of them show poor generalizability, especially when the attacks have different statistical distributions from the ones seen. Therefore, this paper presents Quick-SpoofNet, an approach for detecting both seen and unseen synthetic attacks in the ASV system using one-shot learning and metric learning techniques. |
Awais Khan; Khalid Mahmood Malik; | arxiv-cs.SD | 2023-10-05 |
| 535 | Improving Deepfake Detectors Against Real-world Perturbations with Amplitude-phase Switch Augmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, the remarkable progress in facial manipulation techniques has raised social concerns due to their potential malicious usage and has received considerable … |
Yuhang Lu; Ruizhi Luo; Touradj Ebrahimi; | Optical Engineering + Applications | 2023-10-04 |
| 536 | MIS-AVoiDD: Modality Invariant and Specific Representation for Audio-Visual Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we tackle the problem at the representation level to aid the fusion of audio and visual streams for multimodal deepfake detection. |
Vinaya Sree Katamneni; Ajita Rattani; | arxiv-cs.CV | 2023-10-03 |
| 537 | How Close Are Other Computer Vision Tasks to Deepfake Detection? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we challenge the conventional belief that supervised ImageNet-trained models have strong generalizability and are suitable for use as feature extractors in deepfake detection. |
Huy H. Nguyen; Junichi Yamagishi; Isao Echizen; | arxiv-cs.CV | 2023-10-02 |
| 538 | Interpretable-through-prototypes Deepfake Detection for Diffusion Models IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The process of recognizing and distinguishing between real content and content generated by deep learning algorithms, often referred to as deepfakes, is known as deepfake … |
Agil Aghasanli; D. Kangin; P. Angelov; | 2023 IEEE/CVF International Conference on Computer Vision … | 2023-10-02 |
| 539 | Revisiting Generalizability in Deepfake Detection: Improving Metrics and Stabilizing Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generalizability is seen as the hallmark quality of a good deepfake detection model. However, standard out-of-domain evaluation datasets are very similar in form to the training … |
Sarthak Kamat; S. Agarwal; Trevor Darrell; Anna Rohrbach; | 2023 IEEE/CVF International Conference on Computer Vision … | 2023-10-02 |
| 540 | Current Usage Areas of Deepfake Applications with Artificial Intelligence Technology Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The concept of artificial intelligence has gained significant prominence throughout history, persisting as a subject of regular discussion and exploration in contemporary times. … |
Büşra Kiliç; Mehmet Emin Kahraman; | İletişim ve Toplum Araştırmaları Dergisi | 2023-10-02 |
| 541 | The Realness of Fakes: Primary Evidence of The Effect of Deepfake Personas on User Perceptions in A Design Task Related Papers Related Patents Related Grants Related Venues Related Experts View |
ILKKA KAATE et. al. | Int. J. Hum. Comput. Stud. | 2023-10-01 |
| 542 | CrossDF: Improving Cross-Domain Deepfake Detection with Deep Information Decomposition Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although existing detection methods have shown high performance in identifying forgeries within datasets that use the same deepfake techniques for both training and testing, they suffer from sharp performance degradation when faced with cross-dataset scenarios where unseen deepfake techniques are tested. To address this challenge, we propose a Deep Information Decomposition (DID) framework to enhance the performance of Cross-dataset Deepfake Detection (CrossDF). |
SHANMIN YANG et. al. | arxiv-cs.CV | 2023-09-30 |
| 543 | Contrastive Pseudo Learning for Open-World DeepFake Attribution IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To push the related frontier research, we introduce a new benchmark called Open-World DeepFake Attribution (OW-DFA), which aims to evaluate attribution performance against various types of fake faces under open-world scenarios. |
ZHIMIN SUN et. al. | iccv | 2023-09-27 |
| 544 | Towards Understanding The Generalization of Deepfake Detectors from A Game-Theoretical View Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper aims to explain the generalization of deepfake detectors from the novel perspective of multi-order interactions among visual concepts. |
Kelu Yao; Jin Wang; Boyu Diao; Chao Li; | iccv | 2023-09-27 |
| 545 | Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a universal intra-model collaborative learning framework to enable the effective and simultaneous detection of different quality of deepfakes. |
Binh M. Le; Simon S. Woo; | iccv | 2023-09-27 |
| 546 | AraFake: A Deep Learning Approach for Arabic Fake News Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this digital age, the proliferation of false Arabic news has become prevalent, posing various risks to society. This paper uses Machine Learning, Deep Learning, and Natural … |
Diaa Salama Abd Elminaam; Amr Abdelaziz; George Essam; Shehab Eldeen Mohamed; | 2023 International Mobile, Intelligent, and Ubiquitous … | 2023-09-27 |
| 547 | Deepfake Smiles Matter Less-the Psychological and Neural Impact of Presumed AI-generated Faces Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: High-quality AI-generated portraits (deepfakes) are becoming increasingly prevalent. Understanding the responses they evoke in perceivers is crucial in assessing their societal … |
Anna Eiserbeck; Martin Maier; Julia Baum; Rasha Abdel Rahman; | Scientific reports | 2023-09-26 |
| 548 | Robust Sequential DeepFake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This new threat requires us to detect a sequence of facial manipulations, which is vital for both detecting deepfake media and recovering original faces afterwards. Motivated by this observation, we emphasize the need and propose a novel research problem called Detecting Sequential DeepFake Manipulation (Seq-DeepFake). |
Rui Shao; Tianxing Wu; Ziwei Liu; | arxiv-cs.CV | 2023-09-26 |
| 549 | Text-image Guided Diffusion Model for Generating Deepfake Celebrity Interactions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper devises and explores a novel method in that regard. |
Yunzhuo Chen; Nur Al Hasan Haldar; Naveed Akhtar; Ajmal Mian; | arxiv-cs.CV | 2023-09-26 |
| 550 | DFGC-VRA: DeepFake Game Competition on Visual Realism Assessment Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: This paper presents the summary report on the DeepFake Game Competition on Visual Realism Assessment (DFGC-VRA). Deep-learning based face-swap videos, also known as deepfakes, are … |
BO PENG et. al. | 2023 IEEE International Joint Conference on Biometrics … | 2023-09-25 |
| 551 | ProActive DeepFake Detection Using GAN-based Visible Watermarking IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the advances in generative adversarial networks (GAN), facial manipulations called DeepFakes have caused major security risks and raised severe societal concerns. However, … |
Aakash Varma Nadimpalli; A. Rattani; | ACM Transactions on Multimedia Computing, Communications … | 2023-09-24 |
| 552 | Beyond Deep Fakes Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A conceptual framework and research agenda for neural rendering of realistic digital faces. … |
Mike Seymour; Kai Riemer; L. Yuan; Alan R. Dennis; | Communications of the ACM | 2023-09-22 |
| 553 | Boosting Deepfake Detection Features with Attention Units Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: One of the emerging problems of deep learning technology is deepfake videos with easy access to powerful and inexpensive computing power; The internet is littered with fake … |
Saima Waseem; Syed A. R. Abu-Bakar; Z. Omar; Bilal Ashfaq Ahmed; Saba Baloch; | Proceedings of the 2023 5th World Symposium on Software … | 2023-09-22 |
| 554 | Detecting DeepFakes: A Deep Convolutional Neural Network Approach with Depth Wise Separable Convolutions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents a deep learning based approach for detecting deepfake images and videos. With the rise of free and easily accessible software tools, such as GANs, creating … |
Regatte Varshith Reddy; Anish Nethi; Sanatan Sukhija; Y. Gupta; | 2023 International Conference on Emerging Techniques in … | 2023-09-21 |
| 555 | ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos Using Prototype Exploration and Refinement Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although prototype-based methods have been introduced for the detection of deepfake videos, their use in real-world scenarios still presents major challenges, in that prototypes tend to be overly similar and interpretability varies between prototypes. This paper proposes a Visual Analytics process model for prototype learning, and, based on this, presents ProtoExplorer, a Visual Analytics system for the exploration and refinement of prototype-based deepfake detection models. |
Merel de Leeuw den Bouter; Javier Lloret Pardo; Zeno Geradts; Marcel Worring; | arxiv-cs.AI | 2023-09-20 |
| 556 | How Do Users Perceive Deepfake Personas? Investigating The Deepfake User Perception and Its Implications for Human-Computer Interaction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Although deepfakes have a negative connotation in human-computer interaction (HCI) due to their risks, they also involve many opportunities, such as communicating user needs in … |
Ilkka Kaate; Joni O. Salminen; Soon-Gyo Jung; Hind Almerekhi; Bernard J. Jansen; | Proceedings of the 15th Biannual Conference of the Italian … | 2023-09-20 |
| 557 | Assessing The Human Ability to Recognize Synthetic Speech in Ordinary Conversation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This work assesses the human ability to recognize synthetic speech (deepfake). This paper describes an experiment in which we communicated with respondents using voice messages. … |
Daniel Prudký; Anton Firc; K. Malinka; | 2023 International Conference of the Biometrics Special … | 2023-09-20 |
| 558 | Multimodal Neurosymbolic Approach for Explainable Deepfake Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake detection has become increasingly important in recent years owing to the widespread availability of deepfake generation technologies. Existing deepfake detection methods … |
I. Haq; K. Malik; Khan Muhammad; | ACM Transactions on Multimedia Computing, Communications … | 2023-09-20 |
| 559 | A Dynamic Ensemble Selection of Deepfake Detectors Specialized for Individual Face Parts Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The development of deepfake technology, based on deep learning, has made it easier to create images of fake human faces that are indistinguishable from the real thing. Many … |
Akihisa Kawabe; Ryuto Haga; Yoichi Tomioka; Jungpil Shin; Y. Okuyama; | Electronics | 2023-09-18 |
| 560 | ClueCatcher: Catching Domain-Wise Independent Clues for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake detection is a focus of extensive research to combat the proliferation of manipulated media. Existing approaches suffer from limited generalizability and struggle to … |
Eun-Gi Lee; Isack Lee; S. Yoo; | Mathematics | 2023-09-17 |
| 561 | A Comparative Analysis of Fake Image Detection in Generative Adversarial Networks and Variational Autoencoders Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rise of deep fake technology has led to growing concerns about its potential misuse for propaganda, disinformation, and even cybercrimes. Deep fake detection has thus become a … |
Mohammed Berrahal; Mohammed Boukabous; Idriss Idrissi; | 2023 International Conference on Decision Aid Sciences and … | 2023-09-16 |
| 562 | A Comparative Analysis of Deepfake Detection Techniques: A Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Every person in this new generation has access to all of humanity’s wisdom. Many technological possibilities are available. Nonetheless, we misuse this benefit by using deepfake … |
Munleef Quadir; Prateek Agrawal; Charu Gupta; | 2023 6th International Conference on Contemporary Computing … | 2023-09-14 |
| 563 | NÃO ACREDITE EM TUDO QUE VÊ: DEEPFAKE PORNOGRAPHY E RESPONSABILIDADE CIVIL NO ORDENAMENTO JURÍDICO BRASILEIRO Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Contextualização: O fenômeno da desinformação vem sendo alvo de preocupação na esfera mundial, especialmente quando se trata de eleições e ameaças à democracia. Em 2018, nos … |
Felipe Chiarello de Souza Pinto; Gabriela Franklin de Oliveira; | Revista Eletrônica Direito e Política | 2023-09-14 |
| 564 | Proposed DeepFake Detection Method Using Multiwavelet Transform Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Videos made by artificial intelligence (A.I.) seem real, but they are not. When making DeepFake videos, face-swapping methods are frequently employed. The misuse of technology … |
Saadi Mohammed Saadi; W. A. Mahmoud Al-Jawher; | International Journal of Innovative Computing | 2023-09-13 |
| 565 | Fake News Detection Using Cellular Automata Based Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fake News detection is one of the concerns of the modern era. We have many mechanisms to identify the fake news from various sources. Still there is a need of a precise and more … |
P. SREE et. al. | 2023 3rd International Conference on Computing and … | 2023-09-13 |
| 566 | Fact or Fake? The Search for Truth in An Infodemic of Disinformation, Misinformation, and Malinformation with Deepfake and Fake News IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Weng Marc Lim; | Journal of Strategic Marketing | 2023-09-07 |
| 567 | An Efficient Temporary Deepfake Location Approach Based Embeddings for Partially Spoofed Audio Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Partially spoofed audio detection is a challenging task, lying in the need to accurately locate the authenticity of audio at the frame level. To address this issue, we propose a fine-grained partially spoofed audio detection method, namely Temporal Deepfake Location (TDL), which can effectively capture information of both features and locations. |
Yuankun Xie; Haonan Cheng; Yutian Wang; Long Ye; | arxiv-cs.SD | 2023-09-06 |
| 568 | Comparative Analysis of Deep-Fake Algorithms Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we aim to provide a comprehensive review of the current state of deepfake creation and detection technologies. |
Nikhil Sontakke; Sejal Utekar; Shivansh Rastogi; Shriraj Sonawane; | arxiv-cs.CV | 2023-09-06 |
| 569 | Classification of Deepfake Images Using A Novel Explanatory Hybrid Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In court, criminal investigations and identity management tools, like check-in and payment logins, face videos, and photos, are used as evidence more frequently. Although deeply … |
Sudarshana Kerenalli; Vamsidhar Yendapalli; Mylarareddy Chinnaiah; | CommIT (Communication and Information Technology) Journal | 2023-09-06 |
| 570 | Exposing Deepfake Using Fusion of Deep-learned and Hand-crafted Features Related Papers Related Patents Related Grants Related Venues Related Experts View |
Amr Megahed; Qi Han; Sondos M. Fadl; | Multim. Tools Appl. | 2023-09-05 |
| 571 | Robustness and Generalizability of Deepfake Detection: A Study with Diffusion Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The rise of deepfake images, especially of well-known personalities, poses a serious threat to the dissemination of authentic information. To tackle this, we present a thorough investigation into how deepfakes are produced and how they can be identified. |
Haixu Song; Shiyu Huang; Yinpeng Dong; Wei-Wei Tu; | arxiv-cs.CV | 2023-09-05 |
| 572 | FSD: An Initial Chinese Dataset for Fake Song Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Thus, we employ the FSD dataset for the training of ADD models. We subsequently evaluate these models under two scenarios: one with the original songs and another with separated vocal tracks. |
YUANKUN XIE et. al. | arxiv-cs.SD | 2023-09-05 |
| 573 | Turn Fake Into Real: Adversarial Head Turn Attacks Against Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Malicious use of deepfakes leads to serious public concerns and reduces people’s trust in digital media. Although effective deepfake detectors have been proposed, they are … |
Weijie Wang; Zhengyu Zhao; N. Sebe; B. Lepri; | ArXiv | 2023-09-03 |
| 574 | Timbre-Reserved Adversarial Attack in Speaker Identification Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As a type of biometric identification, speaker identification (SID) systems face various attacks. Spoofing attacks imitate target speakers’ timbre, while adversarial attacks … |
Qing Wang; Jixun Yao; Li Zhang; Pengcheng Guo; Linfu Xie; | IEEE/ACM Transactions on Audio, Speech, and Language … | 2023-09-02 |
| 575 | DeepFake Deception: A Comprehensive Analysis of DeepFake Technology and Its Effects on Ethics, Politics and Society Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Abstract: Our research examines the tremendous effects of deepfake technology on politics, culture, and ethics in the modern day. This investigation is comparable to the spread of … |
Tanvi S Achyut; | INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING … | 2023-09-01 |
| 576 | Deepfake Satire and The Possibilities of Synthetic Media Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This article explores the rise of deepfake satire as one of the most vibrant subgenres of experimentation within the expanding field of AI art. A combination of “deep learning” … |
Joshua Glick; | Afterimage | 2023-09-01 |
| 577 | On The Effectiveness of Handcrafted Features for Deepfake Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Abstract. Recent developments in advanced generative deep learning techniques have led to considerable progress in deepfake technology. CNN-based deepfake detection approaches … |
Bachir Kaddar; Sid Ahmed Fezza; W. Hamidouche; Zahid Akhtar; A. Hadid; | Journal of Electronic Imaging | 2023-09-01 |
| 578 | It Looks Like Me, But It Isn’t Me: On The Societal Implications of Deepfakes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes are images or videos generated using deep learning technology to change the original conditions of a piece of media. Potential uses of this technology range from … |
Jennifer A. Fehring; Tamara Bonaci; | IEEE Potentials | 2023-09-01 |
| 579 | AutoKeras for Fake News Identification in Arabic: Leveraging Deep Learning with An Extensive Dataset Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Social media and the World Wide Web have led to a worrying rise in spreading false information, which presents a significant worldwide issue. Identifying and preventing false … |
Raed S. Matti; Suhad A. Yousif; | Al-Nahrain Journal of Science | 2023-09-01 |
| 580 | Unmasking Deception: Empowering Deepfake Detection with Vision Transformer Network IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of image-generating technologies, significant progress has been made in the field of facial manipulation techniques. These techniques allow people to easily … |
MUHAMMAD ASAD ARSHED et. al. | Mathematics | 2023-08-29 |
| 581 | Audio Deepfake Detection: A Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For each aspect, the basic techniques, advanced developments and major challenges are discussed. |
JIANGYAN YI et. al. | arxiv-cs.SD | 2023-08-28 |
| 582 | Attending Generalizability in Course of Deep Fake Detection By Exploring Multi-task Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work explores various ways of exploring multi-task learning (MTL) techniques aimed at classifying videos as original or manipulated in cross-manipulation scenario to attend generalizability in deep fake scenario. |
Pranav Balaji; Abhijit Das; Srijan Das; Antitza Dantcheva; | arxiv-cs.CV | 2023-08-25 |
| 583 | Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This technology poses a significant ethical threat and could lead to breaches of privacy and misrepresentation, thus there is an urgent need for real-time detection of AI-generated speech for DeepFake Voice Conversion. To address the above emerging issues, the DEEP-VOICE dataset is generated in this study, comprised of real human speech from eight well-known figures and their speech converted to one another using Retrieval-based Voice Conversion. |
Jordan J. Bird; Ahmad Lotfi; | arxiv-cs.SD | 2023-08-24 |
| 584 | A Generalized Deep Markov Random Fields Framework for Fake News Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Current methods are often fully supervised and typically employ deep neural networks (DNN) to learn implicit relevance from labeled data, ignoring explicitly shared properties (e.g., inflammatory expressions) across fake news. To address this limitation, we propose a graph-theoretic framework, called Generalized Deep Markov Random Fields Framework (GDMRFF), that inherits the capability of deep learning while at the same time exploiting the correlations among the news articles (including labeled and unlabeled data). |
YIQI DONG et. al. | ijcai | 2023-08-23 |
| 585 | Fake News Detection Using A Deep Learning Transformer Based Encoder-decoder Architecture Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fake news production, accessibility, and consumption have all increased with the rise of internet-connected gadgets and social media platforms. A good fake news detection system … |
M. B. Narayanan; Arun Kumar Ramesh; K. Gayathri; A. Shahina; | J. Intell. Fuzzy Syst. | 2023-08-23 |
| 586 | A Conformer-based Classifier for Variable-length Utterance Processing in Anti-spoofing IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The success achieved by conformers in Automatic Speech Recognition (ASR) leads us to their application in other domains, such as spoofing detection for automatic speaker … |
Eros Rosello; Alejandro Gomez-Alanis; A. Gómez; A. Peinado; | Interspeech | 2023-08-20 |
| 587 | Learning A Self-Supervised Domain-Invariant Feature Representation for Generalized Audio Deepfake Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, Audio Deepfake Detection (ADD) models have shown promising results in intra-domain. However, they do not perform well in cross-domain scenarios. This is mainly … |
Yuankun Xie; Haonan Cheng; Yutian Wang; Long Ye; | INTERSPEECH 2023 | 2023-08-20 |
| 588 | Recap: Detecting Deepfake Video with Unpredictable Tampered Traces Via Recovering Faces and Mapping Recovered Faces Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the limitation, we propose Recap, a novel Deepfake detection model that exposes unspecific facial part inconsistencies by recovering faces and enlarges the differences between real and fake by mapping recovered faces. |
JUAN HU et. al. | arxiv-cs.CV | 2023-08-19 |
| 589 | A Deepfake Face Video Authentication Method Based on Spatio-temporal Fusion Features Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the wide spread of deepfake face videos, it has brought huge hidden dangers of trust to national security and social stability. In this paper, the authentication model … |
Bin Li; Shijie Zhou; Zhengqiang Zhang; Junkai Yin; | 2023 IEEE 6th International Conference on Pattern … | 2023-08-18 |
| 590 | Deep Fake Video Detection Using Unsupervised Learning Models: Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The recent decade has been the most emerging for technical advancements in computer and communication fields. These advancements have made the task of automation much cheaper and … |
B. N. Jyothi; Jntuh Research Scholar; M. A. Jabbar; | 2023 Second International Conference On Smart Technologies … | 2023-08-18 |
| 591 | Fake News Detection Via Deep Learning Approaches Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unsubstantiated information on social media that is usually published to mislead the public is generally considered fake news. Fake news on the Internet may have a bad orientation … |
Mingxuan Li; | 2023 4th International Symposium on Computer Engineering … | 2023-08-18 |
| 592 | Uncovering Semantic Inconsistencies and Deceptive Language in False News Using Deep Learning and NLP Techniques for Effective Management IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In today’s information age, false news and deceptive language have become pervasive, leading to significant challenges for individuals, organizations, and society as a whole. This … |
Yash Chopra; Priyanka Kaushik; Saurabh Pratap Singh Rathore; Pramneet Kaur; | International Journal on Recent and Innovation Trends in … | 2023-08-18 |
| 593 | Deep Fake Face Detection Using Convolutional Neural Networks IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: More fake face image generators have emerged worldwide owing to the growth of Face Image Modification (FIM) tools like Face2Face and Deepfake, which pose a severe threat to public … |
MJ ALBEN RICHARDS et. al. | 2023 12th International Conference on Advanced Computing … | 2023-08-17 |
| 594 | The Effect of Media Literacy on Misinformation and Deep Fake Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Misinformation has become a major problem in virtually all societies. The emergence of deepfake AI technology has only exacerbated issues around misinformation and disinformation. … |
Sarah Shawky El Mokadem; | Arab Media & Society | 2023-08-14 |
| 595 | Recent Advancements In The Field Of Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: So, in this survey we will address the problems of malicious deepfake creation and the lack of universal deepfake detection methods. |
Natalie Krueger; Dr. Mounika Vanamala; Dr. Rushit Dave; | arxiv-cs.AI | 2023-08-10 |
| 596 | Digital Face Manipulation Creation and Detection: A Systematic Review IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The introduction of publicly available large-scale datasets and advances in generative adversarial networks (GANs) have revolutionized the generation of hyper-realistic facial … |
Minh Dang; Tan N. Nguyen; | Electronics | 2023-08-10 |
| 597 | Unmasking The Truth: A Deep Learning Approach to Detecting Deepfake Audio Through MFCC Features IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake content is artificially created or altered using artificial intelligence (AI) methods to appear real. Synthesis can include audio, video, images, and text. Deepfakes may … |
Islam Altalahin; Shadi Alzu’bi; Assal A. M. Alqudah; Ala Mughaid; | 2023 International Conference on Information Technology … | 2023-08-09 |
| 598 | How Generalizable Are Deepfake Image Detectors? An Empirical Study Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present the first empirical study on the generalizability of deepfake detectors, an essential goal for detectors to stay one step ahead of attackers. |
Boquan Li; Jun Sun; Christopher M. Poskitt; Xingmei Wang; | arxiv-cs.CV | 2023-08-08 |
| 599 | Deepfake Detection: A Comparative Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper present a comprehensive comparative analysis of supervised and self-supervised models for deepfake detection. |
Sohail Ahmed Khan; Duc-Tien Dang-Nguyen; | arxiv-cs.CV | 2023-08-07 |
| 600 | An Investigation of The Effectiveness of Deepfake Models and Tools IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of computer vision and deep learning technologies, rapidly expanding approaches have been introduced that allow anyone to create videos and pictures that are … |
MD. SADDAM HOSSAIN MUKTA et. al. | J. Sens. Actuator Networks | 2023-08-04 |
| 601 | Head Pose Estimation Patterns As Deepfake Detectors IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The capacity to create ”fake” videos has recently raised concerns about the reliability of multimedia content. Identifying between true and false information is a critical step … |
Federico Becattini; C. Bisogni; V. Loia; Chiara Pero; Fei Hao; | ACM Transactions on Multimedia Computing, Communications … | 2023-08-03 |
| 602 | MMDFD- A Multimodal Custom Dataset for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A multi-modal deepfake dataset is relevant in addressing the growing concern of deepfake misuse, which poses a significant security and privacy threat. Deepfakes are becoming … |
A. S; V. P; Varun G. Menon; | Proceedings of the 2023 Fifteenth International Conference … | 2023-08-03 |
| 603 | Attacking Identity Semantics in DeepFakes Via Deep Feature Fusion Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: DeepFake is now widely known for forging and fabricating falsified faces. In recent years, forensic researchers have built many algorithms as countermeasures against DeepFake. … |
Bing Fan; Zihan Jiang; Shu Hu; Feng Ding; | 2023 IEEE 6th International Conference on Multimedia … | 2023-08-01 |
| 604 | All-for-One and One-For-All: Deep Learning-based Feature Fusion for Synthetic Speech Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we consider three different feature sets proposed in the literature for the synthetic speech detection task and present a model that fuses them, achieving overall better performances with respect to the state-of-the-art solutions. |
Daniele Mari; Davide Salvi; Paolo Bestagini; Simone Milani; | arxiv-cs.SD | 2023-07-28 |
| 605 | Deepfake Technology: A Criminological Literature Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Cybercrimes are rapidly evolving with the advancement of technology and reaching new dimensions. Deepfake technology, which is the subject of this article, has also become a part … |
F. Arslan; | Sakarya Üniversitesi Hukuk Fakültesi Dergisi | 2023-07-27 |
| 606 | Deepfake Image Generation for Improved Brain Tumor Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work investigates the feasibility of employing deep-fake image generation for effective brain tumor segmentation. |
Roa’a Al-Emaryeen; Sara Al-Nahhas; Fatima Himour; Waleed Mahafza; Omar Al-Kadi; | arxiv-eess.IV | 2023-07-26 |
| 607 | A Unified Framework for Modality-Agnostic Deepfakes Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce a comprehensive framework that is agnostic to fake modalities, which facilitates the identification of multimodal deepfakes and handles situations with missing modalities, regardless of the manipulations embedded in audio, video, or even cross-modal forms. |
CAI YU et. al. | arxiv-cs.MM | 2023-07-26 |
| 608 | Deep Learning Approach for Detecting Audio Deepfakes in Urdu Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The application of Deep Learning algorithms for speech synthesis has led to the widespread generation of Audio Deepfakes, which are becoming a real threat to voice interfaces. … |
Marium Mateen; Narmeen Zakaria Bawany; | NUML International Journal of Engineering and Computing | 2023-07-26 |
| 609 | Data Augmentation and Hybrid Feature Amalgamation to Detect Audio Deep Fake Attacks IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The ability to distinguish between authentic and fake audio is become increasingly difficult due to the increasing accuracy of text-to-speech models, posing a serious threat to … |
N. Chakravarty; M. Dua; | Physica Scripta | 2023-07-24 |
| 610 | An Appraisal of The Implications of Deep Fakes: The Need for Urgent International Legislations Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Purpose: Artificial intelligence as a subfield of the Fourth Industrial Revolution has been a controversial concept since its inception. The reason for its controversy is that … |
Nmesoma Nnamdi; Dr. O. A. Oniyinde; Dr. B. Abegunde; | American Journal of Leadership and Governance | 2023-07-23 |
| 611 | Unseen Codec Spoof Speech Detection Based on Channel-Robust Feature Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: For speech anti-spoofing, the ability of countermeasures (CMs) to cope with unseen attacks has been under scrutiny. Since the previous LA attack was mainly for ASV, which required … |
Yupeng Zhu; Zuxing Zhao; Fan Li; Yanxiang Chen; | Proceedings of the 2023 3rd International Conference on … | 2023-07-21 |
| 612 | Deepfake Satellite Imagery Detection with Multi-Attention and Super Resolution Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake satellite imagery detection is a crucial task in the era of digital deception, as the ability to manipulate and generate fake satellite images poses significant risks and … |
U. Ciftci; Ilke Demir; | IGARSS 2023 – 2023 IEEE International Geoscience and Remote … | 2023-07-16 |
| 613 | Real and Fake Face Detection: A Comprehensive Evaluation of Machine Learning and Deep Learning Techniques for Improved Performance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The progress of digital manipulation methods has led to the creation of incredibly realistic fake faces, making it more challenging for humans to differentiate between genuine and … |
Noha A. Saad Eldien; Raghda Essam Ali; Farid Ali Moussa; | 2023 Intelligent Methods, Systems, and Applications (IMSA) | 2023-07-15 |
| 614 | The Detection of Fake News in Arabic Tweets Using Deep Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fake news has been around for a long time, but the rise of social networking applications over recent years has rapidly increased the growth of fake news among individuals. The … |
Shatha Alyoubi; Manal Kalkatawi; Felwa A. Abukhodair; | Applied Sciences | 2023-07-14 |
| 615 | GenConViT: Deepfake Video Detection Using Generative Convolutional Vision Transformer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a Generative Convolutional Vision Transformer (GenConViT) for deepfake video detection. |
DERESSA WODAJO DERESSA et. al. | arxiv-cs.CV | 2023-07-13 |
| 616 | Deepfake Audio Detection with Vision Transformer Based Method Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In addition to easy access to audio on the Internet, developments in deep learning methods have made it possible to produce deep fake audio. Deep fake audio spoofing is carried … |
G. Ulutaş; Gul Tahaoglu; Beste Ustubioglu; | 2023 46th International Conference on Telecommunications … | 2023-07-12 |
| 617 | On The Application of Synthetic Media to Penetration Testing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Artificial Intelligence (AI) is currently a hot topic. The explosion of AI technologies that create Synthetic Media (SM), such as Deep Fakes (DF), is worrisome, especially since … |
Nathalia Soares; Steven Seiden; I. Baggili; Andrew Webb; | Proceedings of the 2nd Workshop on Security Implications of … | 2023-07-10 |
| 618 | GAN Discriminator Based Audio Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake is a new technology that has emerged in recent times and is becoming one of the great challenges for society and individuals. In particular, scammers could use deepfake … |
Thien-Phuc Doan; Kihun Hong; Souhwan Jung; | Proceedings of the 2nd Workshop on Security Implications of … | 2023-07-10 |
| 619 | FTFDNet: Learning to Detect Talking Face Video Manipulation with Tri-Modality Interaction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, a fake talking face detection network (FTFDNet) is proposed by incorporating visual, audio and motion features using an efficient cross-modal fusion (CMF) module. |
GANGLAI WANG et. al. | arxiv-cs.CV | 2023-07-08 |
| 620 | Generation And Detection of Deepfakes Using Generative Adversarial Networks (GANs) and Affine Transformation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology has gained significant attention and notoriety in recent years for its ability to manipulate visual and audio content, leading to widespread concerns about its … |
Dr. J. Vijaya; Amaan A. Kazi; Kishan G. Mishra; Avala Praveen; | 2023 14th International Conference on Computing … | 2023-07-06 |
| 621 | Deepfake Detection Using Custom Densenet Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake detection has grown to be an increasingly important research area due to the potential harm that deepfakes can cause to individuals and society. In recent years, deep … |
Venkat Rao Pasupuleti; Prasanth Reddy Tathireddy; Gopi Dontagani; Shaikh Abdul Rahim; | 2023 14th International Conference on Computing … | 2023-07-06 |
| 622 | Deepfake Detection System Using A Hybrid Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: There has been a rapid advancement in deep fake technology in recent years, which makes it increasingly difficult to detect fake images, especially those involving human faces, … |
Sudharson S; Priyanka Kokil; S. D; Penta Aravinda Swamy; | 2023 14th International Conference on Computing … | 2023-07-06 |
| 623 | Face/Off: Changing The Face of Movies with Deepfakes IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: There are growing concerns about the potential for deepfake technology to spread misinformation and distort memories, though many also highlight creative applications such as … |
Gillian Murphy; Didier Ching; John Twomey; Conor Linehan; | PloS one | 2023-07-06 |
| 624 | AAFNDL – An Accurate Fake Information Recognition Model Using Deep Learning for The Vietnamese Language Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: On the Internet, fake news is a common phenomenon that frequently disturbs society because it contains intentionally false information. The issue has been actively researched … |
Nguyen Hung; Thang Loi; N. Huong; Tran Thi Hang; Truong Huong; | Informatics and Automation | 2023-07-06 |
| 625 | Fake News Detection Using Deep Learning and Transformer-Based Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fake news has a tremendous impact especially in certain fields like politics and economy in our society. The rise of social media usage to an extent is in favour of fake/false … |
Paliwal Mohan Subhash; Deepa Gupta; Suja Palaniswamy; Manju Venugopalan; | 2023 14th International Conference on Computing … | 2023-07-06 |
| 626 | Optimization of DeepFake Video Detection Using Image Preprocessing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning has been evolving recently which allowed it to handle complex problems like big data, computer vision, and human-level control. One of the deep learning-powered … |
Ali Berjawi; Khouloud Samrouth; O. Déforges; | 2023 Fifth International Conference on Advances in … | 2023-07-05 |
| 627 | Combatting Fake News: A Global Priority Post COVID-19 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper reviews some academic works on fake news published in Spain in the last seven years, a period in which the 2016 and 2020 US elections and the COVID-19 pandemic marked a … |
Elvira Calvo-Gutiérrez; Carles Marín-Lladó; | Societies | 2023-07-05 |
| 628 | A Survey of Deepfake Detection Methods Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this work, we examine recent methods employed for detecting deepfake images and videos, which have become increasingly prevalent in recent times. Deepfake datasets are … |
Burak İkan Yildiz; B. Gökberk; | 2023 31st Signal Processing and Communications Applications … | 2023-07-05 |
| 629 | DeepFake Videos Detection By Using Recurrent Neural Network (RNN) IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the last few years, the increasing development of various tools to make fake videos from real videos has been raised. Thus, several models/approaches have been constructed to … |
ALI ABDULZAHRA MOHSIN ALBAZONY et. al. | 2023 Al-Sadiq International Conference on Communication and … | 2023-07-04 |
| 630 | Linguistic Features and Bi-LSTM for Identification of Fake News Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the spread of Internet technologies, the use of social media has increased exponentially. Although social media has many benefits, it has become the primary source of … |
ATTAR AHMED ALI et. al. | Electronics | 2023-07-04 |
| 631 | An End-to-End Multi-Module Audio Deepfake Generation System for ADD Challenge 2023 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper builds an end-to-end multi-module synthetic speech generation model, including speaker encoder, synthesizer based on Tacotron2, and vocoder based on WaveRNN. |
Sheng Zhao; Qilong Yuan; Yibo Duan; Zhuoyue Chen; | arxiv-cs.SD | 2023-07-02 |
| 632 | DeepFakeDG: A Deep Learning Approach for Deep Fake Detection and Generation Related Papers Related Patents Related Grants Related Venues Related Experts View |
D. Abdelminaam; Natalie S. Sherif; zeina Ayman; Maria Mohamed; Mohamed Hazem; | Journal of Computing and Communication | 2023-07-01 |
| 633 | Transferemble: A Classification Method for The Detection of Fake Satellite Images Created with Deep Convolutional Generative Adversarial Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Abstract. As the number of government and commercial satellites increases, there is a large increase in Earth observation (EO) imagery. Using different locations and tools, images … |
Selim Sürücü; B. Diri; | Journal of Electronic Imaging | 2023-07-01 |
| 634 | Jointly Defending DeepFake Manipulation and Adversarial Attack Using Decoy Mechanism IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Highly realistic imaging and video synthesis have become possible and relatively simple tasks with the rapid growth of generative adversarial networks (GANs). GAN-related … |
Guan-Lin Chen; Chih-Chung Hsu; | IEEE transactions on pattern analysis and machine … | 2023-06-30 |
| 635 | Deep Learning for Fake News Detection: Literature Review IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The use of Deep Learning (DL) for identifying false or misleading information, known as fake news, is a growing area of research. Deep learning, a form of machine learning that … |
Mohammed Haqi Al-Tai; Bashar M. Nema; Ali Al-Sherbaz; | Al-Mustansiriyah Journal of Science | 2023-06-30 |
| 636 | Deep Learning Methods to Detect Image Falsification Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The accessibility and advancement of digital image editing tools have enabled individuals to manipulate and create realistic images without a real basis, leading to novel forms of … |
Laimonas Janutėnas; Jurate Janutenaite-Bogdaniene; D. Šešok; | Applied Sciences | 2023-06-29 |
| 637 | Improving Fairness in Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While existing studies have focused on evaluating fairness of deepfake detectors, to the best of our knowledge, no method has been developed to encourage fairness in deepfake detection at the algorithm level. In this work, we make the first attempt to improve deepfake detection fairness by proposing novel loss functions that handle both the setting where demographic information (eg, annotations of race and gender) is available as well as the case where this information is absent. |
Yan Ju; Shu Hu; Shan Jia; George H. Chen; Siwei Lyu; | arxiv-cs.CV | 2023-06-28 |
| 638 | Frequency Domain Deepfake Detection Based on Two-stream Neural Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Benefiting from the progress of deep learning driven generative models, face forgery technologies have rapidly become mature, thus raising public concerns about the illegal usage … |
Yijia Xu; Dong Dong Zhang; Chengyu Sun; | International Conference on Graphic and Image Processing | 2023-06-27 |
| 639 | Noise Based Deepfake Detection Via Multi-Head Relative-Interaction IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we present a noise-based Deepfake detection model, NoiseDF for short, which focuses on the underlying forensic noise traces left behind the Deepfake videos. |
Tianyi Wang; Kam Pui Chow; | aaai | 2023-06-26 |
| 640 | Deepfake Video Detection Via Facial Action Dependencies Estimation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we formulate the deepfake video detection problem into a graph classification task, and propose a novel paradigm named Facial Action Dependencies Estimation (FADE) for deepfake video detection. |
LINGFENG TAN et. al. | aaai | 2023-06-26 |
| 641 | Deepfakes and Harm to Women Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As deepfake technologies become more sophisticated and accessible to the broader online community, their use puts women participating in digital spaces at increased risk of … |
Jennifer Laffier; Aalyia Rehman; | Journal of Digital Life and Learning | 2023-06-24 |
| 642 | Audio-Visual Deepfake Detection System Using Multimodal Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rise of deepfake videos in today’s digital landscape, there is a pressing need to develop advanced detection and mitigation technologies. Deepfake videos, which use … |
Aman Parikh; Kristen Pereira; P. Kumar; K. Devadkar; | 2023 3rd International Conference on Intelligent … | 2023-06-23 |
| 643 | In-The-Wild Deepfake Detection Using Adaptable CNN Models with Visual Class Activation Mapping for Improved Accuracy Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology has become increasingly sophisticated in recent years, making detecting fake images and videos challenging. This paper investigates the performance of … |
M. Saealal; M. Z. Ibrahim; M. I. Shapiai; N. Fadilah; | 2023 5th International Conference on Computer Communication … | 2023-06-23 |
| 644 | Deepfake Detection Using CNN and DCGANS to Drop-Out Fake Multimedia Content: A Hybrid Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The creation of Deep Fakes, which are altered videos, audio, and photographs capable of disseminating false information and fake news and modifying sensitive records, is the … |
Kartik Bansal; Shubhi Agarwal; Narayan Vyas; | 2023 International Conference on IoT, Communication and … | 2023-06-23 |
| 645 | Learning Approaches Used By Different Applications to Achieve Deep Fake Technology Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology is an emerging field that has gained considerable attention in recent years. Deepfakes are synthetic media, including images, videos, and audio recordings, … |
Ashish Maharjan; Asish Shakya; | Interdisciplinary Journal of Innovation in Nepalese Academia | 2023-06-22 |
| 646 | 3HAN: A Deep Neural Network for Fake News Detection IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We employ a deep learning based automated detector through a three level hierarchical attention network (3HAN) for fast, accurate detection of fake news. |
Sneha Singhania; Nigel Fernandez; Shrisha Rao; | arxiv-cs.LG | 2023-06-21 |
| 647 | A Robust Approach to Multimodal Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel approach for detecting deepfake video sequences by leveraging data multimodality. |
DAVIDE SALVI et. al. | Journal of imaging | 2023-06-19 |
| 648 | DeepReversion: Reversely Inferring The Original Face from The DeepFake Face Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake techniques can generate realistic fake images and videos. Malicious fake facial images quickly spread through the Internet, posing a potential threat to personal privacy … |
Jiaxin Ai; Zhongyuan Wang; Baojin Huang; Zhen Han; | 2023 International Joint Conference on Neural Networks … | 2023-06-18 |
| 649 | Deepfake: An Endanger to Cyber Security Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: ‘Deepfake’ got originated from the technology ‘deep learning’ working behind it and the type of information it generates ‘fake’ after manipulating the original information. It’s … |
K. N. Sudhakar; M. Shanthi; | 2023 International Conference on Sustainable Computing and … | 2023-06-14 |
| 650 | NPVForensics: Jointing Non-critical Phonemes and Visemes for Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: More seriously, the advanced Deepfake technology realizes the audio-visual calibration of the critical phoneme-viseme regions, achieving a more realistic tampering effect, which brings new challenges. To address this problem, we propose a novel Deepfake detection method to mine the correlation between Non-critical Phonemes and Visemes, termed NPVForensics. |
Yu Chen; Yang Yu; Rongrong Ni; Yao Zhao; Haoliang Li; | arxiv-cs.CV | 2023-06-12 |
| 651 | AVForensics: Audio-driven Deepfake Video Detection with Masking Strategy in Self-supervision Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Existing cross-dataset deepfake detection approaches exploit mouth-related mismatches between the auditory and visual modalities in fake videos to enhance generalisation to unseen … |
Yizhe Zhu; Jialin Gao; Xiaoping Zhou; | Proceedings of the 2023 ACM International Conference on … | 2023-06-12 |
| 652 | SIGMA-DF: Single-Side Guided Meta-Learning for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The current challenge of Deepfake detection is the cross-domain performance on unseen Deepfake data. Instead of extracting forgery artifacts that are robust to the cross-domain … |
BING HAN et. al. | Proceedings of the 2023 ACM International Conference on … | 2023-06-12 |
| 653 | Deepfake in The Metaverse: An Outlook Survey Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce the principles, applications, and risks of deepfake technology, and propose some countermeasures to help users and developers in the metaverse deal with the challenges brought by deepfake technologies. |
Haojie Wu; Pan Hui; Pengyuan Zhou; | arxiv-cs.HC | 2023-06-12 |
| 654 | Autoencoder-based Data Augmentation for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image generation has seen huge leaps in the last few years. Less than 10 years ago we could not generate accurate images using deep learning at all, and now it is almost … |
Dan-Cristian Stanciu; B. Ionescu; | Proceedings of the 2nd ACM International Workshop on … | 2023-06-12 |
| 655 | A Forensic Evaluation Method for DeepFake Detection Using DCNN-based Facial Similarity Scores IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Paulo Max Gil Innocencio Reis; Rafael Oliveira Ribeiro; | Forensic science international | 2023-06-03 |
| 656 | ExoFIA: Deep Exogenous Assistance in The Prediction of The Influence of Fake News with Social Media Explainability Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The growth of social platforms has lowered the barrier of entry into the media sector, allowing for the spread of false information and putting democratic politics and social … |
Pei-Xuan Li; Yu-Yun Huang; Chris Shei; Hsun-Ping Hsieh; | Applied Sciences | 2023-06-02 |
| 657 | DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose the first parameter-efficient tuning approach for deepfake detection, namely DeepFake-Adapter, to effectively and efficiently adapt the generalizable high-level semantics from large pre-trained ViTs to aid deepfake detection. |
Rui Shao; Tianxing Wu; Liqiang Nie; Ziwei Liu; | arxiv-cs.CV | 2023-06-01 |
| 658 | Multimodaltrace: Deepfake Detection Using Audiovisual Representation Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: By employing generative deep learning techniques, Deepfakes are created with the intent to create mistrust in society, manipulate public opinion and political decisions, and for … |
Muhammad Anas Raza; K. Malik; | 2023 IEEE/CVF Conference on Computer Vision and Pattern … | 2023-06-01 |
| 659 | Detection of Deepfake Video Using Deep Learning and MesoNet Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fraudsters are increasingly using evidence tampering to evade criminal charges and the acquisition of personal data for identity-related offenses. Deepfake is one of the most … |
Lian Rebello; Linnet Tuscano; Yashvi Shah; Alvin Solomon; Varsha Shrivastava; | 2023 8th International Conference on Communication and … | 2023-06-01 |
| 660 | Quick Overview of Face Swap Deep Fakes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep Fake technology has developed rapidly in its generation and detection in recent years. Researchers in both fields are outpacing each other in their axes achievements. The … |
Tomasz Walczyna; Z. Piotrowski; | Applied Sciences | 2023-05-31 |
| 661 | Deep Fake Detection Through Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Abstract: Deep fake is a rapidly growing concern in society, and it has become a significant challenge to detect such manipulated media. Deep fake detection involves identifying … |
Y. Doke; | International Journal for Research in Applied Science and … | 2023-05-31 |
| 662 | Pseudo-Siamese Network Based Timbre-reserved Black-box Adversarial Attack in Speaker Identification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we propose a timbre-reserved adversarial attack approach for speaker identification (SID) to not only exploit the weakness of the SID model but also preserve the timbre of the target speaker in a black-box attack setting. |
Qing Wang; Jixun Yao; Ziqian Wang; Pengcheng Guo; Lei Xie; | arxiv-cs.SD | 2023-05-30 |
| 663 | Research on Deepfake Technology and Its Application Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, with the continuous development of artificial intelligence technology, the application of deep counterfeiting technology has become a new trend of social … |
Jiang Bu; Ri-Lie Jiang; Bin Zheng; | Proceedings of the 2023 4th International Conference on … | 2023-05-26 |
| 664 | Betray Oneself: A Novel Audio DeepFake Detection Model Via Mono-to-Stereo Conversion Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Audio Deepfake Detection (ADD) aims to detect the fake audio generated by text-to-speech (TTS), voice conversion (VC) and replay, etc., which is an emerging topic. Traditionally … |
Rui Liu; Jinhua Zhang; Guanglai Gao; Haizhou Li; | ArXiv | 2023-05-25 |
| 665 | The Deepfake Technology: Threats or Opportunities for Customs Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The development of science and technology contributes to the expansion of opportunities for using new ways in various fields of activity — such as remote work, cloud computing, … |
A. Getman; Yilan Ling; | Administrative Consulting | 2023-05-25 |
| 666 | Swarm Optimized Fake News Detection on Social-media Textual Content Using Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this fast-growing era of technology and social media, the fake news is significant predicament in the real- world settings. Fake news prevention and prediction is a challenging … |
Arunima Jaiswal; Himika Verma; Nitin Sachdeva; | 2023 International Conference on Advances in Computing, … | 2023-05-25 |
| 667 | A Comprehensive Taxonomy on Multimedia Video Forgery Detection Techniques: Challenges and Novel Trends IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Thousands of videos are posted on websites and social media every day, including Twitter, Facebook, WhatsApp, Instagram, and YouTube. Newspapers, law enforcement publications, … |
Walid El-Shafai; Mona A Fouda; El-Sayed M El-Rabaie; Nariman Abd El-Salam; | Multimedia tools and applications | 2023-05-24 |
| 668 | A DeepFake Compressed Video Detection Method Based on Dense Dynamic CNN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The emergence of DeepFake poses serious risks to data privacy and social stability. We propose an end-to-end DeepFake video detection method based on a dense dynamic convolutional … |
Xiuqing Mao; Lei Sun; Hongmeng Zhang; Shuai Zhang; | Conference on Computer Graphics, Artificial Intelligence, … | 2023-05-23 |
| 669 | ADD 2023: The Second Audio Deepfake Detection Challenge IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes the datasets, evaluation metrics, and protocols. |
JIANGYAN YI et. al. | arxiv-cs.SD | 2023-05-23 |
| 670 | Towards Generalizing Deep-audio Fake Detection Networks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Building on top of the discovered frequency footprints, we train excellent lightweight detectors that generalize. |
Konstantin Gasenzer; Moritz Wolter; | arxiv-cs.SD | 2023-05-22 |
| 671 | Deep Fake Detection Using Deep Learning Techniques: A Literature Review IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning is a sophisticated and adaptable technique that has found widespread use in fields such as natural language processing, machine learning, and computer vision. It is … |
A. Mary; A. Edison; | 2023 International Conference on Control, Communication and … | 2023-05-19 |
| 672 | Deep Learning Technique for Recognition of Deep Fake Videos Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: New computing methods and digital content have been created thanks to recent advancements in digital media technology. They have also contributed to advancing recent AI-based … |
Fahad Mira; | 2023 IEEE IAS Global Conference on Emerging Technologies … | 2023-05-19 |
| 673 | Evading DeepFake Detectors Via Adversarial Statistical Consistency IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose to explicitly minimize the statistical differences to evade state-of-the-art DeepFake detectors. |
YANG HOU et. al. | cvpr | 2023-05-17 |
| 674 | Detecting and Grounding Multi-Modal Media Manipulation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we highlight a new research problem for multi-modal fake media, namely Detecting and Grounding Multi-Modal Media Manipulation (DGM^4). |
Rui Shao; Tianxing Wu; Ziwei Liu; | cvpr | 2023-05-17 |
| 675 | Implicit Identity Driven Deepfake Face Swapping Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we consider the face swapping detection from the perspective of face identity. |
BAOJIN HUANG et. al. | cvpr | 2023-05-17 |
| 676 | Spatial-Temporal Variables for Deepfake Video Identification Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake detection at the video level has not been as widely studied as at the image level, as it involves analyzing sequences of frames in a temporal context to detect … |
Yeeshu Ralhen; Sharad Sharma; | 2023 3rd International Conference on Advance Computing and … | 2023-05-12 |
| 677 | Using Deepfake Technologies for Word Emphasis Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we consider the task of automated emphasis detection for spoken language. |
Eran Kaufman; Lee-Ad Gottlieb; | arxiv-cs.LG | 2023-05-12 |
| 678 | Undercover Deepfakes: Detecting Fake Segments in Videos Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paradigm has been under-explored by the current deepfake detection methods in the academic literature. In this paper, we present a deepfake detection method that can address this issue by performing deepfake prediction at the frame and video levels. |
SANJAY SAHA et. al. | arxiv-cs.CV | 2023-05-11 |
| 679 | SepMark: Deep Separable Watermarking for Unified Source Tracing and Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although many countermeasures have been developed to detect Deepfakes ex-post, undoubtedly, passive forensics has not considered any preventive measures for the pristine face before foreseeable manipulations. To complete this forensics ecosystem, we thus put forward the proactive solution dubbed SepMark, which provides a unified framework for source tracing and Deepfake detection. |
Xiaoshuai Wu; Xin Liao; Bo Ou; | arxiv-cs.CV | 2023-05-10 |
| 680 | Mover: Mask and Recovery Based Facial Part Consistency Aware Method for Deepfake Video Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the limitation, we propose Mover, a new Deepfake detection model that exploits unspecific facial part inconsistencies, which are inevitable weaknesses of Deepfake videos. |
JUAN HU et. al. | arxiv-cs.MM | 2023-05-10 |
| 681 | Fooling State-of-the-Art Deepfake Detection with High-Quality Deepfakes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Due to the rising threat of deepfakes to security and privacy, it is most important to develop robust and reliable detectors. In this paper, we examine the need for high-quality samples in the training datasets of such detectors. |
Arian Beckmann; Anna Hilsmann; Peter Eisert; | arxiv-cs.CV | 2023-05-09 |
| 682 | Deep Fake Detection and Classification Using Error-level Analysis and Deep Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes an automated method to classify deep fake images by employing Deep Learning and Machine Learning based methodologies. |
RIMSHA RAFIQUE et. al. | Scientific reports | 2023-05-08 |
| 683 | First Six Months of War from Ukrainian Topic and Sentiment Analysis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Through technological advancements as well as due to societal trends and developments, social media became an active part and a catalysator of the ongoing conflicts and wars … |
Clara Maathuis; Iddo Kerkhof; | European Conference on Social Media | 2023-05-05 |
| 684 | Deepfake Creation Using Gans and Autoencoder and Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning techniques is useful in a myriad of applications such as computer vision processing, natural language processing, as well as deepfake detection. The development of … |
M. Das; Manav Kumar; Ishank Kumar Kapil; R. Yadav; | 2023 2nd International Conference on Vision Towards … | 2023-05-05 |
| 685 | Glitch in The Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, a sophisticated deepfake may include small segments of audio or audio-visual manipulations that can completely change the meaning of the video content. To addresses this gap, we propose and benchmark a new dataset, Localized Audio Visual DeepFake (LAV-DF), consisting of strategic content-driven audio, visual and audio-visual manipulations. |
ZHIXI CAI et. al. | arxiv-cs.CV | 2023-05-03 |
| 686 | Glitch in The Matrix!: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most deepfake detection methods focus on detecting spatial and/or spatio-temporal changes in facial attributes and are centered around the binary classification task of detecting … |
ZHIXI CAI et. al. | Comput. Vis. Image Underst. | 2023-05-03 |
| 687 | Evaluating Trustworthiness and Racial Bias in Face Recognition APIs Using Deepfakes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We evaluate the racial bias in face recognition application programming interfaces (APIs) using real and deepfake celebrity images. We use deepfake generation methods to introduce … |
Shahroz Tariq; Sowon Jeon; Simon S. Woo; | Computer | 2023-05-01 |
| 688 | Deep Fake Image Classification Using VGG-19 Model Related Papers Related Patents Related Grants Related Venues Related Experts View |
Chandra Bhushana Rao Killi; Narayanan Balakrishnan; Chinta Someswara Rao; | Ingénierie des systèmes d information | 2023-04-30 |
| 689 | On The Generalization of Deep Learning Models in Video Deepfake Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The increasing use of deep learning techniques to manipulate images and videos, commonly referred to as deepfakes, is making it more challenging to differentiate between real … |
Davide Alessandro Coccomini; Roberto Caldelli; Fabrizio Falchi; Claudio Gennaro; | Journal of imaging | 2023-04-29 |
| 690 | Transferring Audio Deepfake Detection Capability Across Languages IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper conducts the first comprehensive study on the cross-lingual perspective of deepfake detection. |
ZHONGJIE BA et. al. | www | 2023-04-29 |
| 691 | Data Augmentation for Convolutional Neural Network DeepFake Image Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We need to develop a technique for better identifying deepfakes because they can distort our perception of reality. This study offers a brand-new forensic technique for spotting … |
Ameni Jellali; I. Fredj; K. Ouni; | 2023 IEEE International Conference on Advanced Systems and … | 2023-04-29 |
| 692 | An Approach of Fake Videos Detection Based on Haar Cascades and Convolutional Neural Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Because deep fakes might skew our impression of the truth, we need to come up with a method for better spotting them. This paper proposes a new forensic technique to detect … |
Ameni Jellali; Ines Ben Fredj; K. Ouni; | 2023 IEEE International Conference on Advanced Systems and … | 2023-04-29 |
| 693 | Can Deepfakes Be Created on A Whim? Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advancements in machine learning and computer vision have led to the proliferation of Deepfakes. As technology democratizes over time, there is an increasing fear that … |
PULAK MEHTA et. al. | Companion Proceedings of the ACM Web Conference 2023 | 2023-04-28 |
| 694 | UCF: Uncovering Common Features for Generalizable Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents a novel approach to address the two types of overfitting issues by uncovering common forgery features. |
Zhiyuan Yan; Yong Zhang; Yanbo Fan; Baoyuan Wu; | arxiv-cs.CV | 2023-04-27 |
| 695 | UNTAG: Learning Generic Features for Unsupervised Type-Agnostic Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces a novel framework for unsupervised type-agnostic deepfake detection called UNTAG. |
N. Mejri; E. Ghorbel; D. Aouada; | icassp | 2023-04-27 |
| 696 | Can Deepfakes Be Created By Novice Users? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we conduct user studies to understand whether participants with advanced computer skills and varying levels of computer science expertise can create Deepfakes of a person saying a target statement using limited media files. |
PULAK MEHTA et. al. | arxiv-cs.CR | 2023-04-27 |
| 697 | BTS-E: Audio Deepfake Detection Using Breathing-Talking-Silence Encoder IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Countermeasure (CM) systems have been developed recently to help ASV combat synthetic speech. In this work, we propose BTS-E, a framework to evaluate the correlation between Breathing, Talking (speech), and Silence sounds in an audio clip, then use this information for deepfake detection tasks. |
T. -P. Doan; L. Nguyen-Vu; S. Jung; K. Hong; | icassp | 2023-04-27 |
| 698 | Content-Insensitive Dynamic Lip Feature Extraction for Visual Speaker Authentication Against Deepfake Attacks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, with emerging deepfake technology, attackers can make high fidelity talking videos of a user, thus posing a great threat to these systems. Confronted with this threat, we propose a new deep neural network for lip-based visual speaker authentication against human imposters and deepfake attacks. |
Z. Guo; S. Wang; | icassp | 2023-04-27 |
| 699 | Hearing and Seeing Abnormality: Self-Supervised Audio-Visual Mutual Learning for Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: With proper supervised pretraining on auxiliary tasks as prior, the situation can be improved, but the requirement to collect a large number of additional annotations for these tasks may restrict the further development of a generalized deep-fake detector. To address this issue, we propose an Audio-Visual Temporal Synchronization for Deepfake Detection framework for detecting deepfakes that maintains reasonable detection capabilities for unseen ones. |
C. -S. Sung; J. -C. Chen; C. -S. Chen; | icassp | 2023-04-27 |
| 700 | Frequency-Aware Attentional Feature Fusion for Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although recent works achieve significant performance in deepfake detection, they still suffer from overfitting issues. To deal with this problem, we propose a novel framework to aggregate diverse information for deepfake detection from both RGB and frequency. |
C. Tian; Z. Luo; G. Shi; S. Li; | icassp | 2023-04-27 |
| 701 | Waveform Boundary Detection for Partially Spoofed Audio IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The present paper proposes a waveform boundary detection system for audio spoofing attacks containing partially manipulated segments. |
Z. Cai; W. Wang; M. Li; | icassp | 2023-04-27 |
| 702 | Deepfake Detection: A Tutorial Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This tutorial presents developments on the detection of Deepfakes, which are realistic images, audios and videos created using deep learning techniques. Deepfakes can be readily … |
M. Rana; A. Sung; | Proceedings of the 9th ACM International Workshop on … | 2023-04-24 |
| 703 | Review of Audio Deepfake Detection Techniques: Issues and Prospects IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the past years, multimedia content has improved in realism and plausibility owing to the development of deep learning techniques, particularly the generative adversarial … |
Abhishek Dixit; Nirmal Kaur; Staffy Kingra; | Expert Systems | 2023-04-23 |
| 704 | Web-Informed-Augmented Fake News Detection Model Using Stacked Layers of Convolutional Neural Network and Deep Autoencoder Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Today, fake news is a growing concern due to its devastating impacts on communities. The rise of social media, which many users consider the main source of news, has exacerbated … |
Abdullah Marish Ali; Fuad A. Ghaleb; Mohammed Sultan Mohammed; F. Alsolami; Asif Irshad Khan; | Mathematics | 2023-04-23 |
| 705 | Generative Adversarial Networks for Mitigating Bias in Disinformation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The increasing use of social platforms has led to the rampant spread of disinformation in a number of domains and hampered the credibility of these sources. Disinformation is a … |
RAHEE WALAMBE et. al. | 2023 IEEE International Conference on Contemporary … | 2023-04-21 |
| 706 | Hybrid Deepfake Detection Utilizing MLP and LSTM Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The growing reliance of society on social media for authentic information has done nothing but increase over the past years. This has only raised the potential consequences of the … |
Jacob Mallet; Natalie Krueger; Mounika Vanamala; Rushit Dave; | 2023 3rd International Conference on Electrical, Computer, … | 2023-04-21 |
| 707 | Detecting Deepfake Human Face Images Using Transfer Learning: A Comparative Study Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology has made it easy to create realistic, manipulated videos and images, raising concerns about the potential for them to be used to spread misinformation or harm … |
Harsh Vajpayee; Nitin Yadav; Ayush Raj; Sushant Jhingran; | 2023 IEEE International Conference on Contemporary … | 2023-04-21 |
| 708 | Deep Residual Learning for Unmasking DeepFake Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, DeepFake has gained a lot of popularity, any multimedia output created with deep learning technology that appears realistic to viewers is referred to as DeepFake. … |
Thulasi Bikku; Kollipara Bhargavi; Jarugula Bhavitha; Yallasiri Lalithya; Tadepu Vineetha; | 2023 International Conference on Advances in Electronics, … | 2023-04-19 |
| 709 | Investigation of Ensemble Methods for The Detection of Deepfake Face Manipulations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, following up on encouraging prior work for deepfake detection with attribution and ensemble techniques, we explore and compare multiple designs for ensemble detectors. |
Nikolaos Giatsoglou; Symeon Papadopoulos; Ioannis Kompatsiaris; | arxiv-cs.CV | 2023-04-14 |
| 710 | VIOLA Jones Algorithm with Capsule Graph Network for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: DeepFake is a forged image or video created using deep learning techniques. The present fake content of the detection technique can detect trivial images such as barefaced fake … |
Venkatachalam K; Pavel Trojovský; Štěpán Hubálovský; | PeerJ. Computer science | 2023-04-13 |
| 711 | Data Augmentation-based Novel Deep Learning Method for Deepfaked Images Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advances in artificial intelligence have led to deepfake images, enabling users to replace a real face with a genuine one. deepfake images have recently been used to malign … |
FARKHUND IQBAL et. al. | ACM Transactions on Multimedia Computing, Communications … | 2023-04-13 |
| 712 | Assessment Framework for Deepfake Detection in Real-world Situations IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, a more reliable assessment framework is proposed to evaluate the performance of learning-based deepfake detectors in more realistic settings. |
Yuhang Lu; Touradj Ebrahimi; | arxiv-cs.CV | 2023-04-12 |
| 713 | Deepfake Detection of Occluded Images Using A Patch-based Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: One of the most important challenges in this topic is obstruction that decreases the system precision. In this study, we present a deep learning approach using the entire face and face patches to distinguish real/fake images in the presence of obstruction with a three-path decision: first entire-face reasoning, second a decision based on the concatenation of feature vectors of face patches, and third a majority vote decision based on these features. |
Mahsa Soleimani; Ali Nazari; Mohsen Ebrahimi Moghaddam; | arxiv-cs.CV | 2023-04-10 |
| 714 | Artifact Magnification on Deepfake Videos Increases Human Detection and Subjective Confidence Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In typical browsing, deepfakes are rare, engagement with the video may be short, participants may be distracted, or the video streaming quality may be degraded. Here, we tested deepfake detection under these ecological viewing conditions, and found that detection was lowered in all cases. |
Emilie Josephs; Camilo Fosco; Aude Oliva; | arxiv-cs.HC | 2023-04-10 |
| 715 | Deepfake Detection with Deep Learning: Convolutional Neural Networks Versus Transformers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we study the evolutions of deep learning architectures, particularly CNNs and Transformers. |
Vrizlynn L. L. Thing; | arxiv-cs.CR | 2023-04-07 |
| 716 | Deep Fake BERT: Efficient Online Fake News Detection System Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The newscast system has shifted from conventional print to online media platforms in the current computing era. As a result, online media platforms enable us to absorb information … |
M. Kanchana; Vel Murugesh Kumar; T. Anish; P. Gopirajan; | 2023 International Conference on Networking and … | 2023-04-05 |
| 717 | A Generative Adversarial Network Based Approach for Synthesis of Deep Fake Electrocardiograms Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Analyzing the data from an electrocardiogram (ECG) can reveal important details about a patient’s heart health. A key component of modern medicine is the use of AI and ML-based … |
Swarajya Madhuri Rayavarapu; T. Prashanthi; G. S. Kumar; Yenneti Laxmi Lavanya; G. Sasibhushana Rao; | International Journal on Recent and Innovation Trends in … | 2023-04-04 |
| 718 | Leveraging Deep Learning Approaches for Deepfake Detection: A Review Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper aims to explore different methodologies with an intention to achieve a cost-effective model with a higher accuracy with different types of the datasets, which is to address the generalizability of the dataset. |
Aniruddha Tiwari; Rushit Dave; Mounika Vanamala; | arxiv-cs.LG | 2023-04-04 |
| 719 | Does Human Collaboration Enhance The Accuracy of Identifying LLM-Generated Deepfake Texts? IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although prior works studied humans’ ability to detect deepfake texts, none has examined whether collaboration among humans improves the detection of deepfake texts. In this study, to address this gap of understanding on deepfake texts, we conducted experiments with two groups: (1) nonexpert individuals from the AMT platform and (2) writing experts from the Upwork platform. |
ADAKU UCHENDU et. al. | arxiv-cs.CL | 2023-04-03 |
| 720 | Deepfakes As A Threat to A Speaker and Facial Recognition: An Overview of Tools and Attack Vectors IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Anton Firc; Kamil Malinka; Petr Hanáček; | Heliyon | 2023-04-03 |
| 721 | Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Further, we devise a multimodal setting wherein fake images are synthesized by different textual captions, which are used as seeds for a generator. Under this setting, we quantify the performance of fake detection strategies and introduce a contrastive-based disentangling method that lets us analyze the role of the semantics of textual descriptions and low-level perceptual cues. |
ROBERTO AMOROSO et. al. | arxiv-cs.CV | 2023-04-02 |
| 722 | Video Normalization in Identifying Fake Videos Using A Long Short-Term Memory Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As the misinformation crisis continues, it creates a generation more politically divided than ever before. One of the most concerning types of misinformation are Deepfake videos, … |
Kirtankumar Thakkar; Dan Lo; | SoutheastCon 2023 | 2023-04-01 |
| 723 | Artifacts-Disentangled Adversarial Learning for Deepfake Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the development of facial manipulation technologies, the generated deepfake videos cause a severe trust crisis in society. Existing methods prove that effective extraction … |
Xin Li; R. Ni; Pengpeng Yang; Zhiqiang Fu; Yao Zhao; | IEEE Transactions on Circuits and Systems for Video … | 2023-04-01 |
| 724 | Exploring Deepfakes – Creation Techniques, Detection Strategies, and Emerging Challenges: A Survey Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Abstract: Deep learning, integrated with Artificial Intelligence algorithms, has brought about numerous beneficial practical technologies. However, it also brings up a problem … |
JITESH GADGILWAR et. al. | International Journal for Research in Applied Science and … | 2023-03-31 |
| 725 | Impact of Video Processing Operations in Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The detection of digital face manipulation in video has attracted extensive attention due to the increased risk to public trust. To counteract the malicious usage of such techniques, deep learning-based deepfake detection methods have been developed and have shown impressive results. |
Yuhang Lu; Touradj Ebrahimi; | arxiv-cs.CV | 2023-03-30 |
| 726 | A Systematic Literature Review on The Effectiveness of Deepfake Detection Techniques IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With technological advances, the generation of deepfake material is now within reach of those operating consumer-grade hardware. As a result, much research has been undertaken on … |
Laura Stroebel; Mark Llewellyn; Tricia Hartley; Tsui Shan Ip; Mohiuddin Ahmed; | Journal of Cyber Security Technology | 2023-03-29 |
| 727 | Qualitative Failures of Image Generation Models and Their Application in Detecting Deepfakes IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, despite this progress, a gap remains between the quality of generated images and those found in the real world. To address this, we have reviewed a vast body of literature from both academic publications and social media to identify qualitative shortcomings in image generation models, which we have classified into five categories. |
Ali Borji; | arxiv-cs.CV | 2023-03-29 |
| 728 | Robust DeepFake Detection Method Based on Ensemble of ViT and CNN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of convolutional neural networks (CNN) and generative adversarial networks (GAN) in recent years, classifying fake videos produced through DeepFake has become … |
Hyunsoo Ha; Minsang Kim; So-Yul Han; Sangjun Lee; | Proceedings of the 38th ACM/SIGAPP Symposium on Applied … | 2023-03-27 |
| 729 | Multiplicative Vector Fusion Model for Detecting Deepfake News in Social Media Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the digital age, social media platforms are becoming vital tools for generating and detecting deepfake news due to the rapid dissemination of information. Unfortunately, today, … |
Yalamanchili Salini; J. Harikiran; | Applied Sciences | 2023-03-26 |
| 730 | Real Face Foundation Representation Learning for Generalized Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we propose Real Face Foundation Representation Learning (RFFR), which aims to learn a general representation from large-scale real face datasets and detect potential artifacts outside the distribution of RFFR. |
Liang Shi; Jie Zhang; Shiguang Shan; | arxiv-cs.CV | 2023-03-15 |
| 731 | Fake News Detection: Deep Semantic Representation with Enhanced Feature Engineering Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the widespread use of social media, people are exposed to fake news and misinformation. Spreading fake news has adverse effects on both the general public and governments. … |
Mohammadreza Samadi; Saeedeh Momtazi; | International journal of data science and analytics | 2023-03-09 |
| 732 | A Comprehensive Study on Multimedia DeepFakes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Since the entry of so-called DeepFakes in the development of fake multimedia, this late has marked a turning point and emerged as a major issue, although visual and aural media … |
A. Boutadjine; Fouzi Harrag; Khaled Shaalan; Sabrina Karboua; | 2023 International Conference on Advances in Electronics, … | 2023-03-06 |
| 733 | DeepFakes- The Digital Threat in The Real World Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Objectives: Understanding and Tackling the alarming surge of Digital Imposters known as the world of DeepFakes. Methods: Using Artificial Intelligence based Deep Machine … |
Sandeep Singh Mankoo; | Gyan Management Journal | 2023-03-06 |
| 734 | Cyber Vaccine for Deepfake Immunity Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we introduce cyber vaccination for conferring immunity to deepfakes. |
Ching-Chun Chang; Huy Hong Nguyen; Junichi Yamagishi; Isao Echizen; | arxiv-cs.CR | 2023-03-05 |
| 735 | Ensemble Deep Learning Fusion for Detection of Colorization Based Image Forgeries Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image forensics detects manipulation of digital images by tampering and counterfeiting process. While most works on Image forensics detect splicing, retouching and copy-move, very … |
Shashikala S; D. K.; | 2023 2nd International Conference for Innovation in … | 2023-03-03 |
| 736 | Learning Features of Intra-Consistency and Inter-Diversity: Keys Toward Generalizable Deepfake Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Public concerns about deepfake face forgery are continually rising in recent years. Most deepfake detection approaches attempt to learn discriminative features between real and … |
Han Chen; Yuzhen Lin; Bin Li; Shunquan Tan; | IEEE Transactions on Circuits and Systems for Video … | 2023-03-01 |
| 737 | DeepFake Detection with Remote Heart Rate Estimation Using 3D Central Difference Convolution Attention Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As GAN-based deepfakes have become increasingly mature and real-istic, the demand for effective deepfake detectors has become essential. We are inspired by the fact that normal … |
Hua Ma; Xiao Feng; Yijie Sun; | Recent Advances in Computer Science and Communications | 2023-03-01 |
| 738 | Level Up The Deepfake Detection: A Method to Effectively Discriminate Images Generated By GAN Architectures and Diffusion Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, the deepfake detection and recognition task was investigated by collecting a dedicated dataset of pristine images and fake ones generated by 9 different Generative Adversarial Network (GAN) architectures and by 4 additional Diffusion Models (DM). |
Luca Guarnera; Oliver Giudice; Sebastiano Battiato; | arxiv-cs.CV | 2023-03-01 |
| 739 | An Evolutionary- Convolutional Neural Network for Fake Image Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The fast development in deep learning techniques, besides the wide spread of social networks, facilitated fabricating and distributing images and videos without prior knowledge. … |
Retaj Matroud Jasim; T. S. Atia; | Indonesian Journal of Electrical Engineering and Computer … | 2023-03-01 |
| 740 | Automated COVID-19 Misinformation Checking System Using Encoder Representation with Deep Learning Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Social media impacts society whether these impacts are positive or negative, or even both. It has become a key component of our lives and a vital news resource. The crisis of … |
Mohamed Taha; Hala H. Zayed; Marina Azer; Mahmoud Gadallah; | IAES International Journal of Artificial Intelligence … | 2023-03-01 |
| 741 | Feature Extraction Matters More: Universal Deepfake Disruption Through Attacking Ensemble Feature Extractors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel Feature-Output ensemble UNiversal Disruptor (FOUND) against deepfake networks, which explores a new opinion that considers attacking feature extractors as the more critical and general task in deepfake disruption. |
LONG TANG et. al. | arxiv-cs.CV | 2023-02-28 |
| 742 | Deepfake Detection Technique Based on Improved Transformer Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake open source technology has lowered the threshold for AI face swapping to a very low level, making it possible to swap faces with one click. The cost of disinformation … |
ZHENGYI MA et. al. | International Conference on Mechatronics Engineering and … | 2023-02-28 |
| 743 | Disentanglement of Latent Factors of Real and Fake Appearance for Deepfake Face Manipulation Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A deepfake video is a video in which generative models are used to alter the facial features to make the subject appear to be a different person. There are various ways to utilize … |
Suh-Yoon Hong; Dayul Park; GeunJung Yi; | Journal of Student Research | 2023-02-28 |
| 744 | A Cooperative Deep Learning Model for Fake News Detection in Online Social Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fake news, which considers and modifies facts for virality objectives, causes a lot of havoc on social media. It spreads faster than real news and produces a slew of issues, … |
Chandrakant Mallick; Sarojananda Mishra; Manas Ranjan Senapati; | Journal of ambient intelligence and humanized computing | 2023-02-28 |
| 745 | A Performance Enhancement of Deepfake Video Detection Through The Use of A Hybrid CNN Deep Learning Model IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the current era, many fake videos and images are created with the help of various software and new AI (Artificial Intelligence) technologies, which leave a few hints of … |
Sumaiya Thaseen Ikram; P. V; Shourya Chambial; D. Sood; Arulkumar V; | International journal of electrical and computer … | 2023-02-27 |
| 746 | Real-Time Advanced Computational Intelligence for Deep Fake Video Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As digitization is increasing, threats to our data are also increasing at a faster pace. Generating fake videos does not require any particular type of knowledge, hardware, … |
NENCY BANSAL et. al. | Applied Sciences | 2023-02-27 |
| 747 | Why Do Facial Deepfake Detectors Fail? IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: These materials pose significant challenges to human authentication, such as impersonation, misinformation, or even a threat to national security. To keep pace with these rapid advancements, several deepfake detection algorithms have been proposed, leading to an ongoing arms race between deepfake creators and deepfake detectors. |
Binh Le; Shahroz Tariq; Alsharif Abuadbba; Kristen Moore; Simon Woo; | arxiv-cs.CR | 2023-02-25 |
| 748 | Deepfake Video Detection System Using Deep Neural Networks IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A deepfake is a type of synthetic media that uses artificial intelligence and machine learning techniques to manipulate or superimpose images, videos, or audio onto existing … |
Shobha Rani B R; Piyush Kumar Pareek; B. S; G. G; | 2023 IEEE International Conference on Integrated Circuits … | 2023-02-24 |
| 749 | Deepfake Detection Using Inception-ResNet-V2 Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes entails obscene videos in which a face can be changed with someone else’s utilizing neural networks. Deepfakes are a public problem, thus developing methods to detect … |
R. RAJALAXMI et. al. | 2023 7th International Conference on Computing … | 2023-02-23 |
| 750 | Mitigating Adversarial Attacks in Deepfake Detection: An Exploration of Perturbation and AI Techniques Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This article delves into the multifaceted world of adversarial examples, elucidating the underlying principles behind their capacity to deceive deep learning algorithms. We explore the various manifestations of this phenomenon, from their insidious role in compromising model reliability to their impact in shaping the contemporary landscape of disinformation and misinformation. |
SAMINDER DHESI et. al. | arxiv-cs.LG | 2023-02-22 |
| 751 | Comparison of Deepfakes Detection Techniques Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Detection of fake audio and video is a challenging problem. Deepfake is popularly used for creating fake audio and video content using deep learning. Deepfakes, artificially … |
Sonia Salman; J. Shamsi; | 2023 3rd International Conference on Artificial … | 2023-02-22 |
| 752 | Leveraging Vision Attention Transformers for Detection of Artificially Synthesized Dermoscopic Lesion Deepfakes Using Derm-CGAN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Synthesized multimedia is an open concern that has received much too little attention in the scientific community. In recent years, generative models have been utilized in … |
Misaj Sharafudeen; Andrew J; Vinod Chandra S S; | Diagnostics (Basel, Switzerland) | 2023-02-21 |
| 753 | Shallow- and Deep- Fake Image Manipulation Localization Using Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Forged image localization is an important research task, as such images may have a tremendous impact of various aspects of society. Images can be manipulated using image editing … |
Junbin Zhang; H. R. Tohidypour; Yixiao Wang; P. Nasiopoulos; | 2023 International Conference on Computing, Networking and … | 2023-02-20 |
| 754 | Deepfake Face Detection Using Deep InceptionNet Learning Algorithm Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes is digital manipulation techniques that use deep learning to produce deepfake (misleading) images and videos. Identifying deepfake images is the most difficult part of … |
Prasannavenkatesan Theerthagiri; Ghouse basha Nagaladinne; | 2023 IEEE International Students’ Conference on Electrical, … | 2023-02-18 |
| 755 | Detection of Deepfake Video Using Residual Neural Network and Long Short-Term Memory Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The appearance of web-based media has implied genuine and anecdotal stories introduced in such a comparative manner that it can now and then be hard to differentiate the two. … |
A. KARANDIKAR et. al. | International Journal of Next-Generation Computing | 2023-02-15 |
| 756 | A Scientometric Analysis of Deep Learning Approaches for Detecting Fake News IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The unregulated proliferation of counterfeit news creation and dissemination that has been seen in recent years poses a constant threat to democracy. Fake news articles have the … |
Pummy Dhiman; Amandeep Kaur; C. Iwendi; S. Mohan; | Electronics | 2023-02-14 |
| 757 | Detection of Deep Fake in Face Images Based Machine Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fake face images is a recent critical issue of artificial intelligent due to it has directly impacts on the social lives, and may be made to imply threats against privacy, fraud, … |
Al-Salam Journal for Engineering and Technology | 2023-02-11 | |
| 758 | DDS: Deepfake Detection System Through Collective Intelligence and Deep-Learning Model in Blockchain Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the spread of mobile devices and the improvement of the mobile service environment, the use of various Internet content providers (ICPs), including content services such as … |
Nakhoon Choi; Heeyoul Kim; | Applied Sciences | 2023-02-07 |
| 759 | Frequency Domain Filtered Residual Network for Deepfake Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As deepfake becomes more sophisticated, the demand for fake facial image detection is increasing. Although great progress has been made in deepfake detection, the performance of … |
BO WANG et. al. | Mathematics | 2023-02-06 |
| 760 | Deep Learning Based DeepFake Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advances in DeepFake face-swapping technology have made it simple to create fake videos that appear remarkably real. Since it has been employed in numerous instances for … |
SARRA GUEFRACHI et. al. | 2023 International Conference on Smart Computing and … | 2023-02-05 |
| 761 | Visual Realism Assessment for Face-swap Videos Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Visual realism assessment, or VRA, is essential for assessing the potential impact that may be brought by a specific face-swap video, and it is also important as a quality assessment metric to compare different face-swap methods. In this paper, we make a small step towards this new VRA direction by building a benchmark for evaluating the effectiveness of different automatic VRA models, which range from using traditional hand-crafted features to different kinds of deep-learning features. |
Xianyun Sun; Beibei Dong; Caiyong Wang; Bo Peng; Jing Dong; | arxiv-cs.CV | 2023-02-02 |
| 762 | Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Social media is currently being used by many individuals online as a major source of information. However, not all information shared online is true, even photos and videos can be … |
Jacob Mallet; Laura Pryor; Rushit Dave; Mounika Vanamala; | Proceedings of the 2023 7th International Conference on … | 2023-01-27 |
| 763 | Deep Learning Based Fake Stamp Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Philately or Stamp Collection also known as the King of Hobbies. Philatelic fakes and forgeries are labels that look like postage stamps but have been produced to deceive or … |
Swetha Thennavan; Divya Gokul; Avila Jayapalan; | 2023 International Conference on Computer Communication and … | 2023-01-23 |
| 764 | An Effective Hybrid Deep Neural Network for Arabic Fake News Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, the phenomenon of the spread of fake news or misinformation in most fields has taken on a wide resonance in societies. Combating this phenomenon and detecting misleading … |
Tahseen A. Wotaifi; B. N. Dhannoon; | Baghdad Science Journal | 2023-01-22 |
| 765 | A Comparative Analysis and Study of A Fast Parallel CNN Based Deepfake Video Detection Model with Feature Selection (FPC-DFM) Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning is an efficient and practical method that has been widely applied in numerous fields. Videos created with swapped faces in a video, altered facial emotions, changed … |
Athirasree Das; Linda Sebastian; | 2023 Advanced Computing and Communication Technologies for … | 2023-01-20 |
| 766 | A Comparative Study: Deepfake Detection Using Deep-learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent decades, we have seen significant advancement in fields like Artificial Intelligence, Machine Learning, and Deep Learning, resulting in the developing of new … |
Nishika Khatri; Varun Borar; Rakesh Garg; | 2023 13th International Conference on Cloud Computing, Data … | 2023-01-19 |
| 767 | Deepfake Detection Using Biological Features: A Survey Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Deepfakes have been used to blackmail individuals, plan terrorist attacks, disseminate false information, defame individuals, and foment political turmoil. This study describes the history of deepfake, its development and detection, and the challenges based on physiological measurements such as eyebrow recognition, eye blinking detection, eye movement detection, ear and mouth detection, and heartbeat detection. |
Kundan Patil; Shrushti Kale; Jaivanti Dhokey; Abhishek Gulhane; | arxiv-cs.CV | 2023-01-14 |
| 768 | Deepfakes Generation and Detection: A Short Survey IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Advancements in deep learning techniques and the availability of free, large databases have made it possible, even for non-technical people, to either manipulate or generate … |
Zahid Akhtar; | Journal of imaging | 2023-01-13 |
| 769 | Audio Deepfakes: A Survey IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A deepfake is content or material that is synthetically generated or manipulated using artificial intelligence (AI) methods, to be passed off as real and can include audio, video, … |
Zahra Khanjani; Gabrielle Watson; Vandana P Janeja; | Frontiers in big data | 2023-01-09 |
| 770 | Deepfake CAPTCHA: A Method for Preventing Fake Calls IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose D-CAPTCHA: an active defense against real-time deepfakes. |
Lior Yasur; Guy Frankovits; Fred M. Grabovski; Yisroel Mirsky; | arxiv-cs.CR | 2023-01-08 |
| 771 | Learning Face Forgery Detection in Unseen Domain with Generalization Deepfake Detector Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Face forgery generation algorithms have advanced rapidly, resulting in a diverse range of manipulated videos and images which are difficult to identify. As a result, face … |
Van-Nhan Tran; Suk-Hwan Lee; Hoanh-Su Le; Bo–Sung Kim; Ki-Ryong Kwon; | 2023 IEEE International Conference on Consumer Electronics … | 2023-01-06 |
| 772 | Audio Deepfake Approaches IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents a review of techniques involved in the creation and detection of audio deepfakes, the first section provides information about general deep fakes. In the … |
Ousama A Shaaban; Remzi Yildirim; Abubaker Alguttar; | IEEE Access | 2023-01-01 |
| 773 | FCD-Net: Learning to Detect Multiple Types of Homologous Deepfake Face Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid development of artificial intelligence technology, a variety of GAN generated deepfake face images/videos have emerged endlessly. The abuse of deepfake has brought … |
RUIDONG HAN et. al. | IEEE Transactions on Information Forensics and Security | 2023-01-01 |
| 774 | A Survey on The Detection and Impacts of Deepfakes in Visual, Audio, and Textual Formats IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the rapidly evolving digital landscape, the generation of fake visual, audio, and textual content poses a significant threat to the trust of society, political stability, and … |
RAMI MUBARAK et. al. | IEEE Access | 2023-01-01 |
| 775 | Deepfake Text Detection in The Wild IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advances in large language models have enabled them to reach a level of text generation comparable to that of humans. These models show powerful capabilities across a wide … |
YAFU LI et. al. | ArXiv | 2023-01-01 |
| 776 | Understanding Individual and Team-based Human Factors in Detecting Deepfake Texts Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, Natural Language Generation (NLG) techniques in AI (e.g., T5, GPT-3, ChatGPT) have shown a massive improvement and are now capable of generating human-like long … |
ADAKU UCHENDU et. al. | ArXiv | 2023-01-01 |
| 777 | Generalization of Forgery Detection With Meta Deepfake Detection Model IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Face forgery generating algorithms that produce a range of manipulated videos/images have developed quickly. Consequently, this causes an increase in the production of fake … |
Van-Nhan Tran; Seong-Geun Kwon; Suk-Hwan Lee; Hoanh-Su Le; Ki-Ryong Kwon; | IEEE Access | 2023-01-01 |
| 778 | Deep Fake Detection Using Computer Vision-Based Deep Neural Network with Pairwise Learning Related Papers Related Patents Related Grants Related Venues Related Experts View |
R. SARAVANA RAM et. al. | Intelligent Automation & Soft Computing | 2023-01-01 |
| 779 | Proactive Deepfake Defence Via Identity Watermarking IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The explosive progress of Deepfake techniques poses unprecedented privacy and security risks to our society by creating real-looking but fake visual content. The current Deepfake … |
YUAN ZHAO et. al. | 2023 IEEE/CVF Winter Conference on Applications of Computer … | 2023-01-01 |
| 780 | DeepFake on Face and Expression Swap: A Review IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Remarkable advances have been made in deep learning, leading to the emergence of highly realistic AI-generated videos known as deepfakes. Deepfakes use generative models to … |
SAIMA WASEEM et. al. | IEEE Access | 2023-01-01 |
| 781 | DFFMD: A Deepfake Face Mask Dataset for Infectious Disease Era With Deepfake Detection Algorithms IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake is a technology that creates fake images and videos with replaced or synthesized faces. Deepfakes are becoming a concerning social phenomenon, as they can be maliciously … |
NORAH ALNAIM et. al. | IEEE Access | 2023-01-01 |
| 782 | Deep Fakes in Healthcare: How Deep Learning Can Help to Detect Forgeries Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: : With the increasing use of deep learning technology, there is a growing concern over creating deep fake images and videos that can potentially be used for fraud. In healthcare, … |
ALAA ALSAHEEL et. al. | Computers, Materials & Continua | 2023-01-01 |
| 783 | Deep Learning-Based Gender Classification By Training With Fake Data Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Gender classification of human faces is a trending topic and a remarkable biometric task. This research area has useful applications in several fields, such as automated border … |
MOHAMED OULAD-KADDOUR et. al. | IEEE Access | 2023-01-01 |
| 784 | Detecting Deepfake Images Using Deep Learning Techniques and Explainable AI Methods IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Nowadays, deepfake is wreaking havoc on society. Deepfake content is created with the help of artificial intelligence and machine learning to replace one person’s likeness with … |
WAHIDUL HASAN ABIR et. al. | Intelligent Automation & Soft Computing | 2023-01-01 |
| 785 | UVL: A Unified Framework for Video Tampering Localization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of deep learning technology, various forgery methods emerge endlessly. Mean-while, methods to detect these fake videos have also achieved excellent … |
Pengfei Pei; Xianfeng Zhao; Jinchuan Li; Yun Cao; | ArXiv | 2023-01-01 |
| 786 | A Study on Deep Fake Identification Techniques Using Deep Learning Related Papers Related Patents Related Grants Related Venues Related Experts View |
Kavita Lal; M. L. Saini; | RECENT ADVANCES IN SCIENCES, ENGINEERING, INFORMATION … | 2023-01-01 |
| 787 | An Improved Dense CNN Architecture for Deepfake Image Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advancements in computer vision processing need potent tools to create realistic deepfakes. A generative adversarial network (GAN) can fake the captured media streams, such … |
YOGESH PATEL et. al. | IEEE Access | 2023-01-01 |
| 788 | TI2Net: Temporal Identity Inconsistency Network for Deepfake Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we propose the Temporal Identity Inconsistency Network (TI2Net), a Deepfake detector that focuses on temporal identity inconsistency. Specifically, TI2Net … |
Baoping Liu; Bo Liu; Ming Ding; Tianqing Zhu; Xin Yu; | 2023 IEEE/CVF Winter Conference on Applications of Computer … | 2023-01-01 |
| 789 | Motion Magnified 3-D Residual-in-Dense Network for DeepFake Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Driven by the advances in deep learning, highly photo-realistic techniques capable of switching the identity and expression of faces have emerged. Cheap access to computing has … |
A. Mehra; Akshay Agarwal; Mayank Vatsa; Richa Singh; | IEEE Transactions on Biometrics, Behavior, and Identity … | 2023-01-01 |
| 790 | Why Do Deepfake Detectors Fail? Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent rapid advancements in deepfake technology have allowed the creation of highly realistic fake media, such as video, image, and audio. These materials pose significant … |
Binh Le; Shahroz Tariq; A. Abuadbba; Kristen Moore; Simon S. Woo; | ArXiv | 2023-01-01 |
| 791 | DeepfakeMAE: Facial Part Consistency Aware Masked Autoencoder for Deepfake Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake techniques have been used maliciously, resulting in strong research interests in developing Deepfake detection methods. Deepfake often manipulates the video content by … |
JUAN HU et. al. | ArXiv | 2023-01-01 |
| 792 | Detecting Fake Audio of Arabic Speakers Using Self-Supervised Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: One of the most significant discussions in forensics is Audio Deepfake, where AI-generated tools are used to clone audio content of people’s voices. Although it was intended to … |
Zaynab Almutairi; Hebah Elgibreen; | IEEE Access | 2023-01-01 |
| 793 | Deepfake Detection on Social Media: Leveraging Deep Learning and FastText Embeddings for Identifying Machine-Generated Tweets IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advancements in natural language production provide an additional tool to manipulate public opinion on social media. Furthermore, advancements in language modelling have … |
Saima Sadiq; Turki Aljrees; S. Ullah; | IEEE Access | 2023-01-01 |
| 794 | AVoiD-DF: Audio-Visual Joint Learning for Detecting Deepfake IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, deepfakes have raised severe concerns about the authenticity of online media. Prior works for deepfake detection have made many efforts to capture the intra-modal … |
WENYUAN YANG et. al. | IEEE Transactions on Information Forensics and Security | 2023-01-01 |
| 795 | Deep Fake Generation and Detection: Issues, Challenges, and Solutions IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Detection of fake audio and video is a challenging problem. Deepfake is frequently used for creating fake audios and videos using deep learning techniques. Deepfakes, artificially … |
Sonia Salman; J. Shamsi; Rizwan Qureshi; | IT Professional | 2023-01-01 |
| 796 | EDL-Det: A Robust TTS Synthesis Detector Using VGG19-Based YAMNet and Ensemble Learning Block Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Various audio deep fake synthesis algorithms exist, such as deep voice, tacotron, fastspeech, and imitation techniques. Despite the existence of various spoofing speech detectors, … |
Rabbia Mahum; Aun Irtaza; Ali Javed; | IEEE Access | 2023-01-01 |
| 797 | Dynamic Difference Learning With Spatio–Temporal Correlation for Deepfake Video Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid development of face forgery techniques, the existing frame-based deepfake video detection methods have fell into a dilemma that frame-based methods may fail when … |
Qilin Yin; Wei Lu; B. Li; Jiwu Huang; | IEEE Transactions on Information Forensics and Security | 2023-01-01 |
| 798 | Improving Cross-dataset Deepfake Detection with Deep Information Decomposition Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology poses a significant threat to security and social trust. Although existing detection methods have demonstrated high performance in identifying forgeries within … |
SHANMIN YANG et. al. | ArXiv | 2023-01-01 |
| 799 | Local Adaptive Gradient Variance Attack for Deep Fake Fingerprint Detection Related Papers Related Patents Related Grants Related Venues Related Experts View |
Chengsheng Yuan; Baojie Cui; Zhili Zhou; Xinting Li; Qingming Jonathan Wu; | Computers, Materials & Continua | 2023-01-01 |
| 800 | Deepfake Generation and Detection: Case Study and Challenges IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In smart communities, social media allowed users easy access to multimedia content. With recent advancements in computer vision and natural language processing, machine learning … |
YOGESH PATEL et. al. | IEEE Access | 2023-01-01 |
| 801 | The Effect of Deep Learning Methods on Deepfake Audio Detection for Digital Investigation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Mvelo Mcuba; Ashutosh Kumar Singh; R. Ikuesan; H. Venter; | Procedia Computer Science | 2023-01-01 |
| 802 | Learning Deep Fake-News Detectors from Scarcely-Labelled News Corpora Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: : Nowadays, news can be rapidly published and shared through several different channels (e.g., Twitter , Face-book , Instagram , etc.) and reach every person worldwide. However, … |
P. Zicari; M. Guarascio; L. Pontieri; G. Folino; | International Conference on Enterprise Information Systems | 2023-01-01 |
| 803 | ANALYSIS OF TRAINING METHODS AND NEURAL NETWORK TOOLS FOR FAKE NEWS DETECTION Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This article analyses various training methods and neural network tools for fake news detection. Approaches to fake news detection based on textual, visual and mixed data are … |
V. Tyshchenko; | Cybersecurity: Education, Science, Technique | 2023-01-01 |
| 804 | Deep Vs. Shallow: A Comparative Study of Machine Learning and Deep Learning Approaches for Fake Health News Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Internet explosion and penetration have amplified the fake news problem that existed even before Internet penetration. This becomes more of a concern, if the news is … |
T. MAHARA et. al. | IEEE Access | 2023-01-01 |
| 805 | Robust Semi-Supervised Fake News Recognition By Effective Augmentations and Ensemble of Diverse Deep Learners Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Nowadays, most people obtain information from social media networks, where news accompanied by photos and videos attracts readers more than traditional ones. However, these … |
Abdulhameed Al Obaid; H. Khotanlou; Muharram Mansoorizadeh; Davood Zabihzadeh; | IEEE Access | 2023-01-01 |
| 806 | DeepCyberDetect: Hybrid AI for Counterfeit Currency Detection with GAN-CNN-RNN Using African Buffalo Optimization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: — Modern technology has made a big contribution to the distribution of counterfeit money and the valuation of it. This paper recommends a deep learning-based methodology for … |
DR. FRANCISKUS ANTONIUS et. al. | International Journal of Advanced Computer Science and … | 2023-01-01 |
| 807 | Detection of Deep Fake in Face Images Using Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fake images are one of the most widespread phenomena that have a significant influence on our social life, particularly in the world of politics and celeb. Nowadays, generating … |
Hanady Sabah; | Wasit Journal of Computer and Mathematics Science | 2022-12-31 |
| 808 | Defense Against Adversarial Attacks on Audio DeepFake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we cover the topic of adversarial attacks, which decrease the performance of detectors by adding superficial (difficult to spot by a human) changes to input data. |
Piotr Kawa; Marcin Plata; Piotr Syga; | arxiv-cs.SD | 2022-12-30 |
| 809 | How Do Deepfakes Move? Motion Magnification for Deepfake Source Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The sub-muscular motion in faces has different interpretations per different generative models which is reflected in their generative residue. Our approach exploits the difference between real motion and the amplified GAN fingerprints, by combining deep and traditional motion magnification, to detect whether a video is fake and its source generator if so. |
Umur Aybars Ciftci; Ilke Demir; | arxiv-cs.CV | 2022-12-28 |
| 810 | An Enhanced Deep Learning-Based DeepFake Video Detection and Classification System IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The privacy of individuals and entire countries is currently threatened by the widespread use of face-swapping DeepFake models, which result in a sizable number of fake videos … |
J. B. AWOTUNDE et. al. | Electronics | 2022-12-26 |
| 811 | Comparative Analysis of Deepfake Video Detection Using Inception Net and Efficient Net Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Human beings have the most distinctive feature that is human face. We can exchange somebody faces with anybody else’s faces that appear realistic because many have another type of … |
GEETHA RANI E et. al. | 2022 Fourth International Conference on Emerging Research … | 2022-12-26 |
| 812 | Fake News As The Newest Tool of Manipulation and Disinformation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The purpose of the article is to characterise the features of fake news as a new means of propaganda, disinformation, and manipulation. The research methodology is based on the … |
Liudmyla Doskich; | Scientific journal “Library Science. Record Studies. … | 2022-12-26 |
| 813 | An Examination on Implementation of Deep Fake in Images Through Deep Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning has been successfully used to address a variety of challenging problems, including large-scale information analysis, PC vision, and human-level control. However, … |
Abhilash Kumar Saxena; R. K N; | 2022 Fourth International Conference on Emerging Research … | 2022-12-26 |
| 814 | Optical Flow-Attention Fusion Model for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of deepfake technology, fake videos are being widely spread on media, which has caused serious social attention. Deepfake detection task has become a hot … |
Z. Jiang; Pengsen Zhao; Zhonglong Zheng; | Proceedings of the 2022 5th International Conference on … | 2022-12-23 |
| 815 | Auguring Fake Face Images Using Dual Input Convolution Neural Network IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology uses auto-encoders and generative adversarial networks to replace or artificially construct fine-tuned faces, emotions, and sounds. Although there have been … |
Mohan Bhandari; Arjun Neupane; Saurav Mallik; Loveleen Gaur; Hong Qin; | Journal of imaging | 2022-12-21 |
| 816 | Facial Action Unit-Based Deepfake Video Detection Using Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake videos are becoming more realistic, making them a menace. As a result of the development of deep learning techniques such as Generative adversarial networks (GAN), … |
Qasim Jaleel; Israa Hadi; | 2022 4th International Conference on Current Research in … | 2022-12-20 |
| 817 | Deepfake Detection Using EfficientNet: Working Towards Dense Sampling and Frames Selection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake is a controversial technology that allows the automatic generation of video content through generative adversarial networks. The emergence of Deepfake technology is … |
TUAN-AN TO et. al. | 2022 RIVF International Conference on Computing and … | 2022-12-20 |
| 818 | Deepfake Detection in Videos Using Long Short-Term Memory and CNN ResNext Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep-fake in videos is a video synthesis technique by changing the people’s face in the video with others’ face. Deep-fake technology in videos has been used to manipulate … |
Muhammad Indra Abidin; Ingrid Nurtanio; A. Achmad; | ILKOM Jurnal Ilmiah | 2022-12-19 |
| 819 | Detecting Compressed Deepfake Images Using Two-Branch Convolutional Networks with Similarity and Classifier Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As a popular technique for swapping faces with someone else’s in images or videos through deep neural networks, deepfake causes a serious threat to the security of multimedia … |
Ping Chen; Ming Xu; Xiaodong Wang; | Symmetry | 2022-12-19 |
| 820 | Face Generation and Editing with StyleGAN: A Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our goal with this survey is to provide an overview of the state of the art deep learning methods for face generation and editing using StyleGAN. |
ANDREW MELNIK et. al. | arxiv-cs.CV | 2022-12-18 |
| 821 | Investigating Fake News Detection By Means of Deep Learning on A Limited Data Set Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Advancements in web technologies have fostered an environment where information is easily distributed in a cost-effective manner, with organizations of varying sizes enjoying the … |
Okuhle Ngada; B. Haskins; | 2022 IEEE Asia-Pacific Conference on Computer Science and … | 2022-12-18 |
| 822 | A Benchmark of Machine Learning and Deep Learning Algorithms for Detecting Fake News in Bangla Language Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the ease with which information may be obtained and the exponential growth in the amount of information available on the internet, it has become more challenging to … |
Nirjas Mohammad Jakilim; Sm Mahamudul Hasan; Enamul Hassan; | 2022 4th International Conference on Sustainable … | 2022-12-17 |
| 823 | A Study On Deep Fakes Detection Using Blinks and Tracker Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning, a type of artificial intelligence (AI), replicates how the human brain processes data when processing data for tasks including speech recognition, object detection, … |
V. C; K. S.; Raghunandhan V R; S. S; Tushar R; | 2022 Second International Conference on Advanced … | 2022-12-16 |
| 824 | A Comparative Study on Deepfake Detection Algorithms Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, the number of images and videos shared online increased and people have easy ways to access such content. “DeepFake” refers to any multimedia content created … |
Anukriti Kaushal; Sanchit Singh; Shashank Negi; Shikhar Chhaukar; | 2022 4th International Conference on Advances in Computing, … | 2022-12-16 |
| 825 | EMERGING THREAT OF DEEP FAKE: HOW TO IDENTIFY AND PREVENT IT Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Although manipulations of visual and aural media have been around for as long as there have been media, the relatively recent introduction of deep fakes has marked a turning point … |
MUROOJ AAMER TAHA et. al. | Proceedings of the 6th International Conference on Future … | 2022-12-15 |
| 826 | Using Cascade CNN-LSTM-FCNs to Identify AI-altered Video Based on Eye State Sequence IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning is notably successful in data analysis, computer vision, and human control. Nevertheless, this approach has inevitably allowed the development of DeepFake video … |
Muhammad Salihin Saealal; Mohd Zamri Ibrahim; David J Mulvaney; Mohd Ibrahim Shapiai; Norasyikin Fadilah; | PloS one | 2022-12-15 |
| 827 | Deepfakes Examiner: An End-to-End Deep Learning Model for Deepfakes Videos Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes generation approaches have made it possible even for less technical users to generate fake videos using only the source and target images. Thus, the threats associated … |
Hafsa Ilyas; Aun Irtaza; A. Javed; K. Malik; | 2022 16th International Conference on Open Source Systems … | 2022-12-14 |
| 828 | DeepFake Detection Through Key Video Frame Extraction Using GAN IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The emergence of deepfake videos in recent years has made image falsification a real threat. A deepfake video uses deep learning technology to substitute a person’s face, emotion, … |
Lalitha S; Kavitha Sooda; | 2022 International Conference on Automation, Computing and … | 2022-12-13 |
| 829 | Enhancing The Robustness of Deep Learning Based Fingerprinting to Improve Deepfake Attribution Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Artificial Fingerprinting (AF or the so-called digital watermarking) is a technique that can be used to conduct Deepfake attribution by ensuring media authenticity. However, AF … |
Chieh-Yin Liao; Chen-Hsiu Huang; Jun-Cheng Chen; Ja-Ling Wu; | Proceedings of the 4th ACM International Conference on … | 2022-12-13 |
| 830 | Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Accordingly, the means of defense include image tampering detection and Deepfake detection, which share a wide variety of properties. In this paper, we provide a comprehensive review of the current media tampering detection approaches, and discuss the challenges and trends in this field for future research. |
JUNKE WANG et. al. | arxiv-cs.CV | 2022-12-11 |
| 831 | Realtime Deepfake Detection Using Video Vision Transformer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Practically, Deepfake technology has given people access to generate fake videos that look like real content using neural networks, and can further create misconceptions and … |
ABHISHEK DOSHI et. al. | 2022 IEEE Bombay Section Signature Conference (IBSSC) | 2022-12-08 |
| 832 | A Visually Interpretable Forensic Deepfake Detection Tool Using Anchors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: “Deepfakes” have seen a dramatic rise in recent times and are becoming quite realistic and indistinguishable with the advancement of deepfake generation techniques. Promising … |
Krishnakripa Jayakumar; Nimalaprakasan Skandhakumar; | 2022 7th International Conference on Information Technology … | 2022-12-07 |
| 833 | Detection of Compressed DeepFake Video Drawbacks and Technical Developments Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid advancement in artificial intelligence (AI) has revolutionized the creation of synthesized multimedia and given rise to DeepFake, a highly realistic fake video or image … |
Amna-Saga Humidan; L. N. Abdullah; Alfian Abdul Halin; | 2022 5th International Conference on Signal Processing and … | 2022-12-07 |
| 834 | Testing Human Ability To Detect Deepfake Images of Human Faces IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This study aims to assess human ability to identify image deepfakes of human faces (StyleGAN2:FFHQ) from nondeepfake images (FFHQ), and to assess the effectiveness of simple interventions intended to improve detection accuracy. |
Sergi D. Bray; Shane D. Johnson; Bennett Kleinberg; | arxiv-cs.HC | 2022-12-07 |
| 835 | ResViT Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake makes it quite easy to synthesize videos or images using deep learning techniques, which leads to substantial danger and worry for most of the world’s renowned people. … |
Wasim Ahmad; I. Ali; Sahibzada Adil Shahzad; Ammarah Hashmi; F. Ghaffar; | International journal of electrical and computer … | 2022-12-06 |
| 836 | Deepfake Caricatures: Human-guided Motion Magnification Improves Deepfake Detection By Humans and Machines Related Papers Related Patents Related Grants Related Venues Related Experts View |
Camilo Luciano Fosco; Emilie Josephs; A. Andonian; A. Oliva; | Journal of Vision | 2022-12-05 |
| 837 | Depth Map Guided Triplet Network for Deepfake Face Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
BUYUN LIANG et. al. | Neural networks : the official journal of the International … | 2022-12-05 |
| 838 | Adversarially Robust Deepfake Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fake videos have been in circulation on mainstream media since long. However, with increased popularity of online social networks, it is becoming many times easier to spread such … |
Aditya Devasthale; S. Sural; | 2022 IEEE Symposium Series on Computational Intelligence … | 2022-12-04 |
| 839 | Comparative Analysis of Deep Fake Detection Techniques Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning and artificial intelligence are important knowledge areas that have provided solutions allowing the successful resolution of complex problems. Some of these problems … |
Fatim F. Alanazi; | 2022 14th International Conference on Computational … | 2022-12-04 |
| 840 | Fake News Detection: A RNN-LSTM, Bi-LSTM Based Deep Learning Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fake news is a new phenomenon that promotes misleading information and fraud via internet social media or traditional news sources. Fake news is readily manufactured and … |
Govind Singh Mahara; Sharad Gangele; | 2022 IEEE 1st International Conference on Data, Decision … | 2022-12-02 |
| 841 | Fake Image Detection Using An Ensemble of CNN Models Specialized For Individual Face Parts Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid increase of deep learning technology, creating human face images with artificial intelligence (AI) is becoming easier. Those generated images are coming up to … |
Akihisa Kawabe; Ryuto Haga; Yoichi Tomioka; Y. Okuyama; Jungpil Shin; | 2022 IEEE 15th International Symposium on Embedded … | 2022-12-01 |
| 842 | Contemporary Cybersecurity Challenges in Metaverse Using Artificial Intelligence Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: There are several difficulties and challenges in Metaverse from the viewpoint of cybersecurity employing Artificial Intelligence (AI). One of the most critical concerns is the use … |
Fadi Al-Ayed; | 2022 International Conference on Computational Science and … | 2022-12-01 |
| 843 | Deep Learning-based Synthesized Image Attribution Using Frequency Distribution Information Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As the deepfake technology emerges at a breathtaking pace, it threatens to become a destructive political and social force with unpredictable impact on society. Therefore, … |
Junbin Zhang; Yixiao Wang; H. R. Tohidypour; P. Nasiopoulos; | 2022 International Conference on Computational Science and … | 2022-12-01 |
| 844 | “It’s So Bad It Has to Be Real”: Mimic Vlogs and The Use of User-Generated Formats for Storytelling Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Mimic vlogs – that is, a form of fictional web series that tell stories utilising a vlog format – draw on audience expectations to elicit a particular response. Mimic vlogs use … |
Caitlin Adams; | Platform: Journal of Media and Communication | 2022-12-01 |
| 845 | Towards Generalized Deepfake Detection With Continual Learning On Limited New Data: Anonymous Authors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Advancements in deep learning make it increasingly easy to produce highly realistic fake images and videos (also known as deepfakes), which could undermine trust in public … |
2022 International Conference on Digital Image Computing: … | 2022-11-30 | |
| 846 | Using Deepfakes for Experiments in The Social Sciences – A Pilot Study IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The advent of deepfakes – the manipulation of audio records, images and videos based on deep learning techniques – has important implications for science and society. Current … |
Andreas Eberl; Juliane Kühn; Tobias Wolbring; | Frontiers in sociology | 2022-11-29 |
| 847 | DIETA DA SAÚDE PLANETÁRIA E MUDANÇA CLIMÁTICA EM CONFRONTOS ONLINE NO TIKTOK Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A questão global da mudança climática tem sido tema recorrente entre as chamadas teorias da conspiração, fake news e deep fakes que circulam nas mídias sociais online. Nesse … |
A. Junqueira; | Revista Ciências Humanas | 2022-11-29 |
| 848 | Deep Fake Detection, Deterrence and Response: Challenges and Opportunities Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Afterward, we offer a solution that is capable of 1) making our AI systems robust against deepfakes during development and deployment phases; 2) detecting video, image, audio, and textual deepfakes; 3) identifying deepfakes that bypass detection (deepfake hunting); 4) leveraging available intelligence for timely identification of deepfake campaigns launched by state-sponsored hacking teams; 5) conducting in-depth forensic analysis of identified deepfake payloads. |
Amin Azmoodeh; Ali Dehghantanha; | arxiv-cs.CR | 2022-11-26 |
| 849 | Online Fake News Detection Using Pre-trained Embeddings Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fake news is a word, often heard. We often come across this term and its dangerous consequences with respect to society. To curb the menace of fake news is a big challenge in … |
Junaid Ali Reshi; Rashida Ali; | 2022 5th International Conference on Multimedia, Signal … | 2022-11-26 |
| 850 | Deepfake Detection Via Joint Unsupervised Reconstruction and Supervised Classification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In addition, the reconstruction task can improve the learned representations. In this paper, we introduce a novel approach for deepfake detection, which considers the reconstruction and classification tasks simultaneously to address these problems. |
Bosheng Yan; Chang-Tsun Li; Xuequan Lu; | arxiv-cs.CV | 2022-11-24 |
| 851 | Detection of Image Level Forgery with Various Constraints Using DFDC Full and Sample Datasets Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The emergence of advanced machine learning or deep learning techniques such as autoencoders and generative adversarial networks, can generate images known as deepfakes, which … |
Barsha Lamichhane; Keshav Thapa; Sung-Hyun Yang; | Sensors (Basel, Switzerland) | 2022-11-24 |
| 852 | Detection of Synthesized Videos Using CNN IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake refers to changing a person’s face or their facial emotions. Many fake videos are being overused and going viral in a matter of seconds. Deep learning is used to generate … |
R. Saraswathi; Mihir Gadwalkar; S. S. Midhun; G. N. Goud; Ashish Vidavaluri; | 2022 International Conference on Augmented Intelligence and … | 2022-11-24 |
| 853 | Protecting World Leaders Against Deep Fakes Using Facial, Gestural, and Vocal Mannerisms IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Since their emergence a few years ago, artificial intelligence (AI)-synthesized media-so-called deep fakes-have dramatically increased in quality, sophistication, and ease of … |
Matyáš Boháček; Hany Farid; | Proceedings of the National Academy of Sciences of the … | 2022-11-23 |
| 854 | Deepfake Detection: A Comprehensive Survey from The Reliability Perspective Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this survey, we provide a thorough review of the existing Deepfake detection studies from the reliability perspective. |
Tianyi Wang; Xin Liao; Kam Pui Chow; Xiaodong Lin; Yinglong Wang; | arxiv-cs.CV | 2022-11-20 |
| 855 | Fake Reviews Detection with Hybrid Features Using Time-Sequential Deep Learning Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This study aims to train a time-sequential deep learning model to classify reviews as genuine or fake. The real-life dataset from Yelp contains review text and user behavior, … |
Yuqin Weng; Shih-Yi Chien; Szu-Yin Lin; | 2022 IEEE 3rd International Conference on Human-Machine … | 2022-11-17 |
| 856 | Comparative Analysis on Different DeepFake Detection Methods and Semi Supervised GAN Architecture for DeepFake Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The use of deep learning results in solving a wide range of real-world problems and applications, but there are some drawbacks along with this positive side. One of the most … |
Jerry John; Bismin V. Sherif; | 2022 Sixth International Conference on I-SMAC (IoT in … | 2022-11-10 |
| 857 | Deep Learning Techniques for Fake News Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Social media has recently become the primary source for people to consume news. Plenty of users prefer to go to social media apps such as Twitter, Facebook, and Snapchat to obtain … |
Kairui Fang; | Highlights in Science, Engineering and Technology | 2022-11-10 |
| 858 | Cross-Domain Local Characteristic Enhanced Deepfake Video Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose a novel pipeline, Cross-Domain Local Forensics (XDLF), for more general deepfake video detection. |
Zihan Liu; Hanyi Wang; Shilin Wang; | arxiv-cs.CV | 2022-11-07 |
| 859 | Lip Sync Matters: A Novel Multimodal Forgery Detector IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Deepfake technology has advanced a lot, but it is a double-sided sword for the community. One can use it for beneficial purposes, such as restoring vintage content in old movies, … |
SAHIBZADA ADIL SHAHZAD et. al. | 2022 Asia-Pacific Signal and Information Processing … | 2022-11-07 |
| 860 | Contribution of Timbre and Shimmer Features to Deepfake Speech Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Advanced deep-learning techniques can generate natural and synthetic voices that might be close to someone’s voice. Nevertheless, misuse of such technologies is of great concern. … |
ANUWAT CHAIWONGYEN et. al. | 2022 Asia-Pacific Signal and Information Processing … | 2022-11-07 |
| 861 | Multimodal Forgery Detection Using Ensemble Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: The recent rapid revolution in Artificial Intelligence (AI) technology has enabled the creation of hyper-realistic deepfakes, and detecting deepfake videos (also known as … |
AMMARAH HASHMI et. al. | 2022 Asia-Pacific Signal and Information Processing … | 2022-11-07 |
| 862 | FAD-Net: Fake Images Detection and Generalization Based on Frequency Domain Transformation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the continuous development of neural network technology, the generation methods of fake images are gradually improved. More and more faked photos and face changing videos … |
XIAONING LIU et. al. | 2022 15th International Congress on Image and Signal … | 2022-11-05 |
| 863 | DeepFake Knee Osteoarthritis X-rays from Generative Adversarial Neural Networks Deceive Medical Experts and Offer Augmentation Potential to Automatic Classification IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent developments in deep learning have impacted medical science. However, new privacy issues and regulatory frameworks have hindered medical data sharing and collection. Deep … |
Fabi Prezja; Juha Paloneva; Ilkka Pölönen; Esko Niinimäki; Sami Äyrämö; | Scientific reports | 2022-11-03 |
| 864 | Scene and Texture Based Feature Set for DeepFake Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The existence of fake videos is a problem that is challenging today’s social media-enabled world. There are many classifications for fake videos with one of the most popular being … |
A. Ramkissoon; Vijayanandh Rajamanickam; W. Goodridge; | 2022 IEEE International Conference on Data Mining Workshops … | 2022-11-01 |
| 865 | Deepfake Video Detection Based on Convolutional Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The increasing use of mobile camera technology and the growth of social media using and sharing have made the generation and publishing of digital videos more suitable than ever … |
Sarah Riyadh Adnan; Huda Abdulaali Abdulbaqi; | 2022 International Conference on Data Science and … | 2022-11-01 |
| 866 | Facial Behavior Analysis-Based Deepfake Video Detection Using GAN Discriminator Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake is an artificial intelligence-based method for making fake images of people. It works by putting the existing (source) images or videos on the final (destination) images … |
Qasim Jaleel; I. Ali; | 2022 International Conference on Data Science and … | 2022-11-01 |
| 867 | Waveform Boundary Detection for Partially Spoofed Audio IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The present paper proposes a waveform boundary detection system for audio spoofing attacks containing partially manipulated segments. |
Zexin Cai; Weiqing Wang; Ming Li; | arxiv-eess.AS | 2022-10-31 |
| 868 | AI-Generated Face Image Identification with Different Color Space Channel Combinations Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid development of the Internet and information technology (in particular, generative adversarial networks and deep learning), network data are exploding. Due to the … |
Songwen Mo; Pei Lu; Xiaoyong Liu; | Sensors (Basel, Switzerland) | 2022-10-27 |
| 869 | DEEPFAKE CLI: Accelerated Deepfake Detection Using FPGAs Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we have used light MesoNet with EFF-YNet structure and accelerated it on VCK5000 FPGA, powered by state-of-the-art VC1902 Versal Architecture which uses AI, DSP, and Adaptable Engines for acceleration. |
OMKAR BHILARE et. al. | arxiv-cs.AR | 2022-10-26 |
| 870 | An Improved DeepFake Detection Approach with NASNetLarge CNN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep fake images are a new technology that has emerged with the development of computer vision and deep learning technologies in recent years. The development of these deep fake … |
Ismail Ilhan; Ekrem Balı; Mehmet Karaköse; | 2022 International Conference on Data Analytics for … | 2022-10-25 |
| 871 | Using A Visual Turing Test to Evaluate The Realism of Generative Adversarial Network (GAN)-Based Synthesized Myocardial Perfusion Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As the quality of image generation by deep learning increases, it is becoming difficult to discern its authenticity from the image alone. Currently, generative models represented … |
Akinori Higaki; Yoshitaka Kawada; Go Hiasa; Tadakatsu Yamada; Hideki Okayama; | Cureus | 2022-10-24 |
| 872 | Adaptive Re-calibration of Channel-wise Features for Adversarial Audio Classification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: DeepFake Audio, unlike DeepFake images and videos, has been relatively less explored from detection perspective, and the solutions which exist for the synthetic speech classification either use complex networks or dont generalize to different varieties of synthetic speech obtained using different generative and optimization-based methods. Through this work, we propose a channel-wise recalibration of features using attention feature fusion for synthetic speech detection and compare its performance against different detection methods including End2End models and Resnet-based models on synthetic speech generated using Text to Speech and Vocoder systems like WaveNet, WaveRNN, Tactotron, and WaveGlow. |
Vardhan Dongre; Abhinav Thimma Reddy; Nikhitha Reddeddy; | arxiv-cs.SD | 2022-10-21 |
| 873 | “Stunning and Creepy…I Gotta Learn This”: Exploring Concepts of Information Ethics in Deepfake Creation Tutorials on YouTube Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes combine artificial intelligence with machine deep learning to produce manipulated images and are made to appear hyperrealistic to viewers (Westerlund, 2019), … |
A. Vera; | Proceedings of the ALISE Annual Conference | 2022-10-20 |
| 874 | Deepfake Attack Prevention Using Steganography GANs Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes are fake images or videos generated by deep learning algorithms. Ongoing progress in deep learning techniques like auto-encoders and generative adversarial networks … |
Iram Noreen; Muhammad Shahid Muneer; Saira Gillani; | PeerJ. Computer science | 2022-10-20 |
| 875 | Deepfakes Detection Using Computer Vision and Deep Learning Approaches Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: . Earlier in 2018, deepfakes had grown in popularity as programmers used cutting-edge AI techniques to make software that could swap one person’s face for another. The growth of … |
Chong Jun Xiong; Kah Ong; Michael Goh; T. Connie; | Journal of System and Management Sciences | 2022-10-20 |
| 876 | Detecting and Recovering Sequential DeepFake Manipulation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This new threat requires us to detect a sequence of facial manipulations, which is vital for both detecting deepfake media and recovering original faces afterwards. Motivated by this observation, we emphasize the need and propose a novel research problem called Detecting Sequential DeepFake Manipulation (Seq-DeepFake). |
Rui Shao; Tianxing Wu; Ziwei Liu; | eccv | 2022-10-19 |
| 877 | Deepfake Video Detection Using Spatiotemporal Convolutional Network and Photo Response Non Uniformity Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: It is important to improve the detection of deepfake videos to differentiate between real and fake videos that cause disinformation in the digital age so that a high level of … |
Sio Jurnalis Pipin; Ronsen Purba; M. F. Pasha; | 2022 IEEE International Conference of Computer Science and … | 2022-10-19 |
| 878 | Hierarchical Contrastive Inconsistency Learning for Deepfake Video Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel Hierarchical Contrastive Inconsistency Learning framework (HCIL) with a two-level contrastive paradigm. |
Zhihao Gu; Taiping Yao; Yang Chen; Shouhong Ding; Lizhuang Ma; | eccv | 2022-10-19 |
| 879 | Deepfake Generation, Detection and Datasets: A Rapid-review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake is the general expression of fake images or videos. Images and videos created with Deep Neural Networks (DNN) can cause both personal and national problems. Deepfake … |
Aynur Koçak; Mustafa Alkan; | 2022 15th International Conference on Information Security … | 2022-10-19 |
| 880 | Explaining Deepfake Detection By Analysing Image Matching IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper aims to interpret how deepfake detection models learn artifact features of images when just supervised by binary labels. |
Shichao Dong; Jin Wang; Jiajun Liang; Haoqiang Fan; Renhe Ji; | eccv | 2022-10-19 |
| 881 | Adaptive Face Forgery Detection in Cross Domain IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In addition to this, the inconsistency problem in the previous methods is significantly exacerbated due to the diversities among various forgery methods. To address this problem, we propose a novel deep learning framework for face forgery detection in cross domain. |
LUCHUAN SONG et. al. | eccv | 2022-10-19 |
| 882 | Do Deepfakes Adequately Display Emotions? A Study on Deepfake Facial Emotion Expression Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we conduct an in-depth study on facial emotional expression in deepfakes using a well-known face swap-based deepfake database. |
Juan-Miguel López-Gil; Rosa Gil; Roberto García; | Computational intelligence and neuroscience | 2022-10-18 |
| 883 | Fake News Detection Using A Decentralized Deep Learning Model and Federated Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Social media has beneficial and detrimental impacts on social life. The vast distribution of false information on social media has become a worldwide threat. As a result, the Fake … |
Nirosh Jayakody; Azeem Mohammad; M. Halgamuge; | IECON 2022 – 48th Annual Conference of the IEEE Industrial … | 2022-10-17 |
| 884 | Tensor-Based Deepfake Detection in Scaled and Compressed Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: When deepfakes are widespread on chatting platforms, they are expected to be subject to heavy resizing and compressing steps. In this paper, we present a tensor-based … |
S. Concas; Gianpaolo Perelli; G. Marcialis; G. Puglisi; | 2022 IEEE International Conference on Image Processing … | 2022-10-16 |
| 885 | Faketracer: Exposing Deepfakes with Training Data Contamination IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We describe a proactive defense method to expose Deep-Fakes with training data contamination. Note that the existing methods usually focus on defending from general DeepFakes, … |
Pu Sun; Yuezun Li; H. Qi; Siwei Lyu; | 2022 IEEE International Conference on Image Processing … | 2022-10-16 |
| 886 | Deepfake Detection Using Multi-path CNN and Convolutional Attention Mechanism Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image and video forgery using cutting-edge deep learning techniques has become one of the major issues in the social networking era. Media manipulation in which one person’s face … |
Rineesh Babu P.; Madhu S. Nair; | 2022 IEEE 2nd Mysore Sub Section International Conference … | 2022-10-16 |
| 887 | Deepfake Detection System for The ADD Challenge Track 3.2 Based on Score Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes the deepfake audio detection system submitted to the Audio Deep Synthesis Detection (ADD) Challenge Track 3.2 and gives an analysis of score fusion. |
YUXIANG ZHANG et. al. | arxiv-eess.AS | 2022-10-13 |
| 888 | Image Forgery Detection Using Structural Similarity and Morphological Tools Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advancements in digital imaging technology and computer vision have brought forth a multitude of new possibilities in every field ranging from manufacturing to healthcare … |
Rohit Arun; S. Verma; | 2022 10th International Conference on Reliability, Infocom … | 2022-10-13 |
| 889 | Blockwise Spectral Analysis for Deepfake Detection in High-fidelity Videos Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes have gained widespread attention as they may give rise to a series of risks ranging from personal reputation damages to national security breaches. A mainstream approach … |
He Huang; Nan Sun; Xufeng Lin; | 2022 IEEE 9th International Conference on Data Science and … | 2022-10-13 |
| 890 | A Comprehensive Review on Fake Images/Videos Detection Techniques Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Now that image creation and manipulation have advanced so quickly, there are serious questions about how this may affect society. At best, this leads to loss of trust in digital … |
Ruby Chauhan; Renu Popli; I. Kansal; | 2022 10th International Conference on Reliability, Infocom … | 2022-10-13 |
| 891 | SpecRNet: Towards Faster and More Accessible Audio DeepFake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we focus on increasing accessibility to the audio DeepFake detection methods by providing SpecRNet, a neural network architecture characterized by a quick inference time and low computational requirements. |
Piotr Kawa; Marcin Plata; Piotr Syga; | arxiv-cs.SD | 2022-10-12 |
| 892 | Aggregating Layers for Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We evaluate our approach on two domains of interest – Deepfake detection and Synthetic image detection, and find that we achieve SOTA results. |
Amir Jevnisek; Shai Avidan; | arxiv-cs.CV | 2022-10-11 |
| 893 | Deep Fake Video Detection Using Transfer Learning Approach IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The usage of the internet as a fast medium for spreading fake news reinforces the requirement of computational utensils in order to fight for it. Fake videos also called deep … |
Shraddha Suratkar; Faruk Kazi; | Arabian journal for science and engineering | 2022-10-11 |
| 894 | Multisemantic Path Neural Network for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the continuous development of deep learning techniques, it is now easy for anyone to swap faces in videos. Researchers find that the abuse of these techniques threatens … |
NA WU et. al. | Security and Communication Networks | 2022-10-11 |
| 895 | A Comparative Study on Physical and Perceptual Features for Deepfake Audio Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Audio content synthesis has stepped into a new era and brought a great threat to daily life since the development of deep learning techniques. The ASVSpoof Challenge and the ADD … |
Meng Li; Yasaman Ahmadiadli; Xiao-Ping Zhang; | Proceedings of the 1st International Workshop on Deepfake … | 2022-10-10 |
| 896 | DDAM ’22: 1st International Workshop on Deepfake Detection for Audio Multimedia Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Over the last few years, the technology of speech synthesis and voice conversion has made significant improvement with the development of deep learning. The models can generate … |
J. TAO et. al. | Proceedings of the 30th ACM International Conference on … | 2022-10-10 |
| 897 | Defeating DeepFakes Via Adversarial Visual Reconstruction IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Existing DeepFake detection methods focus on passive detection, i.e., they detect fake face images by exploiting the artifacts produced during DeepFake manipulation. These … |
Ziwen He; Wei Wang; Weinan Guan; Jing Dong; T. Tan; | Proceedings of the 30th ACM International Conference on … | 2022-10-10 |
| 898 | Exploiting Temporal Information to Prevent The Transferability of Adversarial Examples Against Deep Fake Detectors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The diffusion of AI tools capable of generating realistic DeepFakes (DF) videos raises serious threats to face-based biometric recognition systems. For this reason, several … |
Dongdong Lin; B. Tondi; B. Li; M. Barni; | 2022 IEEE International Joint Conference on Biometrics … | 2022-10-10 |
| 899 | STATNet: Spectral and Temporal Features Based Multi-Task Network for Audio Spoofing Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rise in mobile phone users and VoIP, voice has emerged as an easy and accessible biometric modality for identification or verification tasks. Given the increasing usage … |
R. Ranjan; Mayank Vatsa; Richa Singh; | 2022 IEEE International Joint Conference on Biometrics … | 2022-10-10 |
| 900 | Deep Learning Based Face Liveliness Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Modern systems of face recognition (FRS) are used in a wide range of computer applications: for user authentication; in email marketing; in social networks; for personal … |
ALEKSANDR KUZNETSOV et. al. | 2022 IEEE 9th International Conference on Problems of … | 2022-10-10 |
| 901 | Analysis of The Current State of Deepfake Techniques-creation and Detection Methods Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning has effectively solved complicated challenges ranging from large data analytics to human level control and computer vision. However, deep learning has been used to … |
Ashraf A. Abu-Ein; Obaida M. Al-Hazaimeh; Alaa M. Dawood; Andraws I. Swidan; | Indonesian Journal of Electrical Engineering and Computer … | 2022-10-07 |
| 902 | Synthetic Content Detection in Deepfake Video Using Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, significant improvements in the field of deep learning have promoted the development of highly realistic AI-based video manipulation and forgery technologies … |
KALICHARAN JALUI et. al. | 2022 IEEE 3rd Global Conference for Advancement in … | 2022-10-07 |
| 903 | The Threat of Deep Fake Technology to Trusted Identity Management Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid development of artificial intelligence technology, deepfake technology based on deep learning is receiving more and more attention from society or the industry. … |
ATIF ALI et. al. | 2022 International Conference on Cyber Resilience (ICCR) | 2022-10-06 |
| 904 | Battle of Deep Fakes: Artificial Intelligence Set to Become A Major Threat to The Individual and National Security Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The article discusses the possibility of political organizations utilizing deepfake technologies. It is observed that deepfakes can affect all levels of public and political life … |
ATIF ALI et. al. | 2022 International Conference on Cyber Resilience (ICCR) | 2022-10-06 |
| 905 | Robust and Generalized DeepFake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Images that are manipulated are prevalent and are on the spike because of the advancement in deep convolutional neural networks (CNNs) techniques. There have been several concerns … |
Siddharth Yadav; Sahithi Bommareddy; D. Vishwakarma; | 2022 13th International Conference on Computing … | 2022-10-03 |
| 906 | Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To advance the field, in this paper, we explore the suitability of several convolutional neural network (CNN) architectures for fake satellite image detection. |
Sid Ahmed Fezza; Mohammed Yasser Ouis; Bachir Kaddar; Wassim Hamidouche; Abdenour Hadid; | arxiv-cs.CV | 2022-10-01 |
| 907 | Deepfakes, Intellectual Cynics, and The Cultivation of Digital Sensibility Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, a number of philosophers have turned their attention to developments in Artificial Intelligence, and in particular to deepfakes. A deepfake is a portmanteau of … |
Taylor Matthews; | Royal Institute of Philosophy Supplement | 2022-10-01 |
| 908 | Multiple Feature Mining Based on Local Correlation and Frequency Information for Face Forgery Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As facial image manipulation techniques developed, deep fake detection attracted extensive attentions. Although researchers have made remarkable progresses in deepfake detection … |
SHUAI LIU et. al. | 2022 IEEE 34th International Conference on Tools with … | 2022-10-01 |
| 909 | Deepfake Detection Method Based on Face Edge Bands Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid development of face forgery technology and the generation of realistic fake videos have caused serious harm to individuals, society and even the country, so it is … |
Zhengjie Deng; Bao Zhang; Shuqian He; Yizhen Wang; | 2022 9th International Conference on Digital Home (ICDH) | 2022-10-01 |
| 910 | Fake Face Detection Using CNN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Abstract: Real and Fake face recognition using CNN and deep learning is presented in the paper. Searching for the authenticity of an image with the naked eye becomes a complicated … |
Priyadarshini Patil; V. Deshpande; Vishal Malge; Abhishek Bevinmanchi; | International Journal for Research in Applied Science and … | 2022-09-30 |
| 911 | A Novel Deep Learning Approach for Deepfake Image Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake is utilized in synthetic media to generate fake visual and audio content based on a person’s existing media. The deepfake replaces a person’s face and voice with fake … |
Ali Raza; Kashif Munir; Mubarak Almutairi; | Applied Sciences | 2022-09-29 |
| 912 | The Face Deepfake Detection Challenge IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Multimedia data manipulation and forgery has never been easier than today, thanks to the power of Artificial Intelligence (AI). AI-generated fake content, commonly called … |
LUCA GUARNERA et. al. | Journal of imaging | 2022-09-28 |
| 913 | A Bidirectional-LSTM Method Based on Temporal Features for Deep Fake Face Detection in Videos Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The technology of deep fake face detection in videos is particularly important in the field of internet and finance. In order to solve the significant problem of the spread of … |
SHENGQING PEI et. al. | Other Conferences | 2022-09-27 |
| 914 | When Handcrafted Features and Deep Features Meet Mismatched Training and Test Sets for Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we utilize and compare two kinds of handcrafted features(SIFT and HoG) and two kinds of deep features(Xception and CNN+RNN) for the deepfake detection task. |
Ying Xu; Sule Yildirim Yayilgan; | arxiv-cs.CV | 2022-09-27 |
| 915 | Adversarial Attack with Adaptive Gradient Variance for Deep Fake Fingerprint Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, fingerprint liveness detection methods based on deep neural networks have been widely used in various fingerprint recognition systems, such as fingerprint locks … |
Chengsheng Yuan; Baojie Cui; | 2022 IEEE 24th International Workshop on Multimedia Signal … | 2022-09-26 |
| 916 | Robustness of Electrical Network Frequency Signals As A Fingerprint for Digital Media Authentication Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Leveraging modern Artificial Intelligence (AI) technology, Deepfake attacks manipulate audio/video streams (AVS) to mimic any targeted person or scenario. Deepfake attacks are … |
NIHAL POREDI et. al. | 2022 IEEE 24th International Workshop on Multimedia Signal … | 2022-09-26 |
| 917 | MeDiFakeD: Medical Deepfake Detection Using Convolutional Reservoir Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generation of photo-realistic fake content using Artificial Intelligence (AI)-based Generative Adversarial Networks has not only engulfed media, facial recognition or social … |
Rajat Budhiraja; Manish Kumar; M. K. Das; A. Bafila; Sanjeev Singh; | 2022 IEEE Global Conference on Computing, Power and … | 2022-09-23 |
| 918 | Deep Learning for Forgery Face Detection Using Fuzzy Fisher Capsule Dual Graph Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In digital manipulation, creating fake images/videos or swapping face images/videos with another person is done by using a deep learning algorithm is termed deep fake. Fake … |
P. M. Arunkumar; Y. Sangeetha; P. Raja; S. N. Sangeetha; | Inf. Technol. Control. | 2022-09-23 |
| 919 | Availability of Voice Deepfake Technology and Its Impact for Good and Evil Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Artificial Intelligence and especially Machine Learning and Deep Learning techniques are increasingly populating today’s technological and social landscape. These advancements … |
N. Amezaga; Jeremy Hajek; | Proceedings of the 23rd Annual Conference on Information … | 2022-09-21 |
| 920 | Creating, Using, Misusing, and Detecting Deep Fakes IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Synthetic media—so-called deep fakes—have captured the imagination of some and struck fear in others. Although they vary in their form and creation, deep fakes refer to text, … |
H. Farid; | Journal of Online Trust and Safety | 2022-09-20 |
| 921 | DeePhy: On Deepfake Phylogeny IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Model attribution helps in enhancing the explainability of the detection results by providing information on the generative model employed. In order to enable the research community to address these questions, this paper proposes DeePhy, a novel Deepfake Phylogeny dataset which consists of 5040 deepfake videos generated using three different generation techniques. |
KARTIK NARAYAN et. al. | arxiv-cs.CV | 2022-09-19 |
| 922 | Spoofing Detection of Fake Speech Using Deep Neural Network Algorithm Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Spoofing is a challenging research topic in Speaker Recognition. Spoofing, among others, can use fake speech, especially in the form of voice identity falsification or fraud, … |
Kristiawan Nugroho; E. Winarno; | 2022 International Seminar on Application for Technology of … | 2022-09-17 |
| 923 | Short And Low Resolution Deepfake Video Detection Using CNN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, convincing deepfake videos are growing very fast that can delude even the trained experts. These deepfake videos have huge impacts all over the world covering the … |
ASHIFUR RAHMAN et. al. | 2022 IEEE 10th Region 10 Humanitarian Technology Conference … | 2022-09-16 |
| 924 | TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we focus on the generation of an audio-visual deepfake dataset. |
Davide Salvi; Brian Hosler; Paolo Bestagini; Matthew C. Stamm; Stefano Tubaro; | arxiv-cs.MM | 2022-09-16 |
| 925 | Detecting Synthetic Speech Manipulation in Real Audio Recordings Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes a potential partial synthetic speech detection system based on the x-ResNet architecture with a probabilistic linear discriminant analysis (PLDA) backend and interleaved aware score processing. |
MD HAFIZUR RAHMAN et. al. | arxiv-cs.SD | 2022-09-15 |
| 926 | Deep Ensemble Fake News Detection Model Using Sequential Deep Learning Technique IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, fake news has been widely spread through the Internet due to the increased use of social media for communication. Fake news has become a significant concern due to its … |
Abdullah Marish Ali; Fuad A Ghaleb; Bander Ali Saleh Al-Rimy; Fawaz Jaber Alsolami; Asif Irshad Khan; | Sensors (Basel, Switzerland) | 2022-09-15 |
| 927 | DeepFake Detection Based on Discrepancies Between Faces and Their Context IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a method for detecting face swapping and other identity manipulations in single images. Face swapping methods, such as DeepFake, manipulate the face region, aiming to … |
Yuval Nirkin; Lior Wolf; Yosi Keller; Tal Hassner; | IEEE transactions on pattern analysis and machine … | 2022-09-14 |
| 928 | A Natural Language Processing (NLP) Evaluation on COVID-19 Rumour Dataset Using Deep Learning Techniques IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The study’s objective is to propose a novel solution to detect fake news using state-of-the-art machines and deep learning models. |
RUBIA FATIMA et. al. | Computational intelligence and neuroscience | 2022-09-14 |
| 929 | Efficient Low-thrust Trajectory Data Generation Based on Generative Adversarial Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Deep learning-based techniques have been introduced into the field of trajectory optimization in recent years. |
Ruida Xie; Andrew G. Dempster; | arxiv-cs.LG | 2022-09-14 |
| 930 | Evaluation of Deepfake Detection Using YOLO with Local Binary Pattern Histogram Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, deepfake technology has become a popularly used technique for swapping faces in images or videos that create forged data to mislead society. Detecting the originality of … |
Štěpán Hubálovský; Pavel Trojovský; Nebojsa Bacanin; Venkatachalam K; | PeerJ. Computer science | 2022-09-13 |
| 931 | Deep Convolutional Pooling Transformer for Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Therefore, the existing Deepfake detection methods have reached a bottleneck to further improve the detection performance. To address this issue, we propose a deep convolutional Transformer to incorporate the decisive image features both locally and globally. |
Tianyi Wang; Harry Cheng; Kam Pui Chow; Liqiang Nie; | arxiv-cs.CV | 2022-09-12 |
| 932 | ParalMGC: Multiple Audio Representations for Synthetic Human Speech Attribution Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning models allow the creation of deepfake synthetic audios which are difficult to distinguish from natural ones. Moreover, recognizing which algorithm generated a given … |
M. Neri; Anna Ferrarotti; Luca De Luisa; Andrea Salimbeni; M. Carli; | 2022 10th European Workshop on Visual Information … | 2022-09-11 |
| 933 | Fake News Spreaders Detection: Sometimes Attention Is Not All You Need IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Guided by a corpus linguistics approach, in this article we present a comparative evaluation of State-of-the-Art (SotA) models, with a special focus on Transformers, to address … |
Marco Siino; E. D. Nuovo; I. Tinnirello; M. Cascia; | Inf. | 2022-09-09 |
| 934 | Potential Attacks of DeepFake on EKYC Systems and Remedy for EKYC with DeepFake Detection Using Two-Stream Network of Facial Appearance and Motion Features Related Papers Related Patents Related Grants Related Venues Related Experts View |
Trong-Le Do; Mai-Khiem Tran; H. Nguyen; Minh-Triet Tran; | SN Computer Science | 2022-09-03 |
| 935 | Multimodal Fake-News Recognition Using Ensemble of Deep Learners IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Social networks have drastically changed how people obtain information. News in social networks is accompanied by images and videos and thus receives more attention from readers … |
Abdulhameed Al Obaid; Hassan Khotanlou; Muharram Mansoorizadeh; Davood Zabihzadeh; | Entropy (Basel, Switzerland) | 2022-09-03 |
| 936 | The Effect of Deepfake Video Advertisements on The Hotel Booking Intention of Tourists Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: PurposeThis study aims to investigate the effect of deepfake video advertisements on hotel booking intention by applying the media richness theory (MRT) and information … |
Brijesh Sivathanu; Rajasshrie Pillai; | Journal of Hospitality and Tourism Insights | 2022-08-29 |
| 937 | Improving Deepfake Detection By Mixing Top Solutions of The DFDC Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The falsification of faces in videos is a growing phenomenon over the years. One of the most popular ways to tamper a face in a video is known as “deepfake”, Today, many tools … |
Anis Trabelsi; M. Pic; J. Dugelay; | 2022 30th European Signal Processing Conference (EUSIPCO) | 2022-08-29 |
| 938 | CNN Based Deep Learning Model for Deepfake Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the recent period there has been massive progress in synthetic image generation and manipulation which significantly raises concerns for its ill applications towards society. … |
Vedant Jolly; Mayur Telrandhe; Aditya Kasat; Atharva Shitole; Kiran Gawande; | 2022 2nd Asian Conference on Innovation in Technology … | 2022-08-26 |
| 939 | Misreporting and Fake News Detection Techniques on The Social Media Platform Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: One of the major concerns nowadays is the rapid spreading of fake news or unverified information on all kinds of social media. Misinformation and disinformation on the digital … |
Yuran Feng; | Highlights in Science, Engineering and Technology | 2022-08-26 |
| 940 | DepthFake: A Depth-based Strategy for Detecting Deepfake Videos Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we proposed DepthFake, a study on how to improve classical RGB-based approaches with depth-maps. |
Luca Maiano; Lorenzo Papa; Ketbjano Vocaj; Irene Amerini; | arxiv-cs.CV | 2022-08-23 |
| 941 | TCSD: Triple Complementary Streams Detector for Comprehensive Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Advancements in computer vision and deep learning have made it difficult to distinguish deepfake visual media. While existing detection frameworks have achieved significant … |
Xiaolong Liu; Yang Yu; Xiaolong Li; Yao Zhao; Guodong Guo; | ACM Transactions on Multimedia Computing, Communications … | 2022-08-22 |
| 942 | System Fingerprint Recognition for Deepfake Audio: An Initial Dataset and Investigation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present the first deepfake audio dataset for system fingerprint recognition (SFR) and conduct an initial investigation. |
XINRUI YAN et. al. | arxiv-cs.SD | 2022-08-21 |
| 943 | Defending Against Deepfakes with Ensemble Adversarial Perturbation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Maliciously manipulated images and videos, represented by prevalent deepfakes, can easily deceive human and mislead the public opinions. A great deal of effort was spent on … |
Weinan Guan; Ziwen He; Wei Wang; Jing Dong; Bo Peng; | 2022 26th International Conference on Pattern Recognition … | 2022-08-21 |
| 944 | Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and A Meta-Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advancements in AI, especially deep learning, have contributed to a significant increase in the creation of new realistic-looking synthetic media (video, image, and audio) … |
Enes ALTUNCU; V. N. Franqueira; Shujun Li; | ArXiv | 2022-08-21 |
| 945 | Evading Deepfake Detectors Via High Quality Face Pre-Processing Methods Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Today, various multimedia content can be accessed and shared from any location via the Internet. In addition to normal content, an extensive amount of manipulated multimedia can … |
Jeongho Kim; Taejune Kim; J. Kim; Simon S. Woo; | 2022 26th International Conference on Pattern Recognition … | 2022-08-21 |
| 946 | Initial Development of Perpetrator Confrontation Using Deepfake Technology in Victims with Sexual Violence-related PTSD and Moral Injury Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Interventions aimed at easing negative moral (social) emotions and restoring social bonds – such as amend-making and forgiving-have a prominent role in the treatment of moral … |
AGNES VAN MINNEN et. al. | Frontiers in psychiatry | 2022-08-18 |
| 947 | IoT Based Application Designing of Deep Fake Test for Face Animation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Development of Deep Learning models of Internet of Things (IoT) enclosures with limited resources are difficult because Both Quality of Results are difficult to achieve – QoR as … |
KOTARI SRIDEVI et. al. | Proceedings of the 2022 6th International Conference on … | 2022-08-18 |
| 948 | DF-Captcha: A Deepfake Captcha for Preventing Fake Calls Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a lightweight application which can protect organizations and individuals from deepfake SE attacks. |
Yisroel Mirsky; | arxiv-cs.CR | 2022-08-17 |
| 949 | Hybrid Deep Convolutional Generative Adversarial Networks (DCGANS) and Style Generative Adversarial Network (STYLEGANS) Algorithms to Improve Image Quality Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generative Adversarial Networks or GANS, are another way of achieving generative modeling using various deep learning methods like convoluted neural networks. They have a wide … |
B. HARIHARAN et. al. | 2022 3rd International Conference on Electronics and … | 2022-08-17 |
| 950 | A PNU-Based Methodology to Improve The Reliability of Biometric Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Face recognition is an important application of pattern recognition and image analysis in biometric security systems. The COVID-19 outbreak has introduced several issues that can … |
Paola Capasso; Lucia Cimmino; Andrea F Abate; Andrea Bruno; Giuseppe Cattaneo; | Sensors (Basel, Switzerland) | 2022-08-14 |
| 951 | Deepfake Video Detection Methods Using Deep Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Nowadays, humans are dealing with incipient trouble known as deepfake videos, advanced with the usage of deep learning. Due to freely accessible deep fake technology equipment and … |
Mrunal P. Kshirsagar; Shraddha Suratkar; F. Kazi; | 2022 Third International Conference on Intelligent … | 2022-08-11 |
| 952 | Analyzing Fairness in Deepfake Detection With Massively Annotated Databases IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, there is an increased concern that these models and training databases might be biased and, thus, cause Deepfake detectors to fail. In this work, we investigate factors causing biased detection in public Deepfake datasets by (a) creating large-scale demographic and non-demographic attribute annotations with 47 different attributes for five popular Deepfake datasets and (b) comprehensively analysing attributes resulting in AI-bias of three state-of-the-art Deepfake detection backbone models on these datasets. |
Ying Xu; Philipp Terhörst; Kiran Raja; Marius Pedersen; | arxiv-cs.CV | 2022-08-11 |
| 953 | Study of Detecting Behavioral Signatures Within DeepFake Videos Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: There is strong interest in the generation of synthetic video imagery of people talking for various purposes, including entertainment, communication, training, and advertisement. |
QIAOMU MIAO et. al. | arxiv-cs.CV | 2022-08-06 |
| 954 | Deepfake Creation and Detection Using Ensemble Deep Learning Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The use of Artificial Intelligence to create falsified videos using Deep Neural Networks is posing a serious problem in distinguishing the real from the counterfeit. These … |
S. Rao; N. Shelke; Aditya Goel; Harshita Bansal; | Proceedings of the 2022 Fourteenth International Conference … | 2022-08-04 |
| 955 | An Analytical Perspective on Various Deep Learning Techniques ForDeep Fake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: – The advent of deep fake technology has become a crucial concern in this digital world. A serious threat to an individual’s privacy, democracy, and national security can be … |
Usha Kosarkar; Gopal Sakarkar; Shilpa Gedam; | International Journal of Innovations in Engineering and … | 2022-08-01 |
| 956 | Audio Deepfake Detection Based on A Combination of F0 Information and Real Plus Imaginary Spectrogram Features IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recently, pioneer research works have proposed a large number of acoustic features (log power spectrogram, linear frequency cepstral coefficients, constant Q cepstral coefficients, etc.) for audio deepfake detection, obtaining good performance, and showing that different subbands have different contributions to audio deepfake detection. |
JUN XUE et. al. | arxiv-cs.SD | 2022-08-01 |
| 957 | Xception Net & Vision Transformer: A Comparative Study for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes are artificial media in which an existing image consisting of a person is replaced with someone else. The creation of fake content is not new, but deepfakes are more … |
Devanshu Shah; Dhiraj Shah; Dhruvi Jodhawat; Jinay Parekh; Kriti Srivastava; | 2022 International Conference on Machine Learning, Computer … | 2022-08-01 |
| 958 | Detection-by-Simulation: Exposing DeepFake Via Simulating Forgery Using Face Reconstruction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper describes a new method to expose DeepFakes via simulating forgery using face reconstruction on real samples. Our method is motivated by that the DeepFake model … |
Jiaran Zhou; Yuezun Li; | 2022 IEEE 5th International Conference on Multimedia … | 2022-08-01 |
| 959 | Deepfake Detection in Videos and Picture: Analysis of Deep Learning Models and Dataset Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake detection is the concept of distinguishing a computer manipulated graphic from a real recorded graphic. The technology used for this purpose is deep learning. It is a sub … |
S. Chauhan; Nitin Jain; Satish Chandra Pandey; Aakash Chabaque; | 2022 IEEE International Conference on Data Science and … | 2022-07-29 |
| 960 | A Survey on Deepfake Video Detection Techniques Using Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning is an effective technology that has been widely used in different ways. ‘DeepFake’ videos are generated using deep learning technology called generative adversarial … |
Athirasree Das; K. S. .. Viji; Linda Sebastian; | 2022 Second International Conference on Next Generation … | 2022-07-29 |
| 961 | Investigation of Craquelure Patterns in Oil Paintings Using Precise 3D Morphological Analysis for Art Authentication Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The development of scientific technology for art authentication has elicited multidimensional evidence to distinguish forgeries from original artwork. Here, we analyzed the … |
SOOJUNG KIM et. al. | PloS one | 2022-07-28 |
| 962 | Using Deep Learning to Detecting Deepfakes IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This enables them to mimic a power figure in society, such as a president or celebrity, creating the potential danger of spreading misinformation and other nefarious uses of deepfakes. To combat this online threat, researchers have developed models that are designed to detect deepfakes. |
Jacob Mallet; Rushit Dave; Naeem Seliya; Mounika Vanamala; | arxiv-cs.CV | 2022-07-27 |
| 963 | Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our recent studies find that the propagation characteristics of authentic and fake news are distinguishable, irrespective of their modalities. In this regard, we have investigated the auxiliary information based on social context to detect fake news. |
PALLABI SAIKIA et. al. | arxiv-cs.SI | 2022-07-27 |
| 964 | Deepfake Tweets Detection Using Deep Learning Algorithms Related Papers Related Patents Related Grants Related Venues Related Experts View |
HINA KIRN et. al. | IEEC 2022 | 2022-07-27 |
| 965 | A Deep Neural Network-based Approach for Fake News Detection in Regional Language Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Purpose The current natural language processing algorithms are still lacking in judgment criteria, and these approaches often require deep knowledge of political or social … |
PIYUSH KATARIYA et. al. | Int. J. Web Inf. Syst. | 2022-07-27 |
| 966 | Deepfake Pornografi: Tren Kekerasan Gender Berbasis Online (KGBO) Di Era Pandemi Covid-19 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The development of artificial intelligence (AI) sophistication triggered a specific algorithm called deepfake technology. The existence of this technology provides convenience for … |
Ivana Dewi Kasita; | Jurnal Wanita dan Keluarga | 2022-07-26 |
| 967 | Deepfakes, Deep Harms IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes are algorithmically modified video and audio recordings that project one person’s appearance on to that of another, creating an apparent recording of an event that never … |
Regina A. Rini; L. Cohen; | Journal of Ethics and Social Philosophy | 2022-07-26 |
| 968 | Biometric Spoofing and Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Biometrics have increasingly become most suited mechanisms for identification and authentication in the use of diverse technologies and systems. However, much they prove to be … |
Yaw Amoah-Yeboah; | Advances in Multidisciplinary and scientific Research … | 2022-07-26 |
| 969 | Fake News Et Deepfakes : Une Approche Cyberpsychologique Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Une fake news est définie comme un élément médiatique factuellement inexact mais présenté par son émetteur comme ayant une valeur de véracité avec une volonté explicite de tromper … |
J. Nelson; | Images, mensonges et algorithmes. La sémiotique au défi du … | 2022-07-26 |
| 970 | Analysis of Score-Level Fusion Rules for Deepfake Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake detection is of fundamental importance to preserve the reliability of multimedia communications. Modern deepfake detection systems are often specialized on one or more … |
S. CONCAS et. al. | Applied Sciences | 2022-07-22 |
| 971 | Detecting Deepfake By Creating Spatio-Temporal Regularity Disruption Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Specifically, by carefully examining the spatial and temporal properties, we propose to disrupt a real video through a Pseudo-fake Generator and create a wide range of pseudo-fake videos for training. |
JIAZHI GUAN et. al. | arxiv-cs.CV | 2022-07-21 |
| 972 | GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Several solutions have been proposed by the vision community to effectively combat the misinformation on the internet via automated deepfake detection systems. |
Aakash Varma Nadimpalli; Ajita Rattani; | arxiv-cs.CV | 2022-07-20 |
| 973 | A Hybrid CNN-LSTM Model for Video Deepfake Detection By Leveraging Optical Flow Features IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes are the synthesized digital media in order to create ultra-realistic fake videos to trick the spectator. Deep generative algorithms, such as, Generative Adversarial … |
P. Saikia; Dhwani Dholaria; Priyanka Yadav; Vaidehi M Patel; Mohendra Roy; | 2022 International Joint Conference on Neural Networks … | 2022-07-18 |
| 974 | Human Vs. Automatic Detection of Deepfake Videos Over Noisy Channels Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Identification of DeepFake video content is a challenging scientific problem that addresses a growing societal concern. We investigate the relationship between DeepFake detection … |
S. S. Prasad; O. Hadar; Thang Vu; I. Polian; | 2022 IEEE International Conference on Multimedia and Expo … | 2022-07-18 |
| 975 | Mel-Spectrogram Image-Based End-to-End Audio Deepfake Detection Under Channel-Mismatched Conditions IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This work focuses on the problem of detecting fake audio clips. To improve current audio spoofing detection models, we propose a selection of multiple audio augmentations … |
A. Fathan; J. Alam; Woohyun Kang; | 2022 IEEE International Conference on Multimedia and Expo … | 2022-07-18 |
| 976 | Source-ID-Tracker: Source Face Identity Protection in Face Swapping Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Swapping faces with deep learning technology to generate realistic fake videos/images (a.k.a, deepfakes) has drawn great public con-cerns recently. Numerous approaches have been … |
Yuzhen Lin; Han Chen; E. Maiorana; P. Campisi; Bin Li; | 2022 IEEE International Conference on Multimedia and Expo … | 2022-07-18 |
| 977 | PRaNA: PRNU-based Technique to Tell Real and Deepfake Videos Apart Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Videos are a powerful source of communication adopted in several contexts and used for both benign and malicious purposes (e.g., education vs. reputation damage). Nowadays, … |
Irene Amerini; M. Conti; Pietro Giacomazzi; Luca Pajola; | 2022 International Joint Conference on Neural Networks … | 2022-07-18 |
| 978 | Efficient Fake News Detection Using Bagging Ensembles of Bidirectional Echo State Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The dissemination of fake news is one of the most concerning issues in current digital media platforms, originating from the quick and easy spread of unverified information … |
J. Del Ser; Miren Nekane Bilbao; I. Laña; K. Muhammad; David Camacho; | 2022 International Joint Conference on Neural Networks … | 2022-07-18 |
| 979 | Deep Fake Detection Using Cascaded Deep Sparse Auto-encoder for Effective Feature Selection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper has developed a Deepfake detection method by examining the computer vision features of the digital content. |
Saravana Balaji Balasubramanian; Jagadeesh Kannan R; Prabu P; Venkatachalam K; Pavel Trojovský; | PeerJ. Computer science | 2022-07-13 |
| 980 | Relaciones Públicas Y Fake News En La Comunicación Corporativa. Una Revisión De La Literatura / Public Relations and Fake News in The Corporate Communication. A Literature Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: ResumenEl presente trabajo parte del concepto de fake news, aplicado al ámbito empresarial, para observar cómo la información y comunicación institucional y corporativa pueden … |
Sónia Gomes Gonçalves; Gloria Jiménez-Marín; Marta Pulido Polo; | Revista Internacional de Relaciones Públicas | 2022-07-09 |
| 981 | Deepfake Face Traceability with Disentangling Reversing Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Correspondingly, we design a disentangling reversing network that decouples latent space features of deepfake faces under the supervision of fake-original face pair samples to infer original faces in reverse. |
Jiaxin Ai; Zhongyuan Wang; Baojin Huang; Zhen Han; | arxiv-cs.CV | 2022-07-07 |
| 982 | Deep Fake News Detection System Based on Concatenated and Recurrent Modalities IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Ahmed Sedik; A. Abohany; Karam M. Sallam; K. Munasinghe; T. Medhat; | Expert Syst. Appl. | 2022-07-01 |
| 983 | Content-based Fake News Detection Using Deep Learning Techniques: Analysis, Challenges and Possible Solutions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Since the past decade, social media platforms are used widely for sharing information which may or may not be credible. Due to this many incidents have occurred that show how … |
Sakshini Hangloo; B. Arora; | 2022 Fifth International Conference on Computational … | 2022-07-01 |
| 984 | Deepfakes Classification of Faces Using Convolutional Neural Networks IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the recent years, petabytes of data is being generated and uploaded online every second. To successfully detect fake contents, a deepfake detection technique is used to … |
Jatin Sharma; Sahil Sharma; Vijay Kumar; Hany S. Hussein; H. Alshazly; | Traitement du Signal | 2022-06-30 |
| 985 | Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Moreover, continuously retraining a network would be unfeasible. In this paper, we ask ourselves if, among the various deep learning techniques, there is one that is able to generalise the concept of deepfake to such an extent that it does not remain tied to one or more specific deepfake generation methods used in the training set. |
Davide Alessandro Coccomini; Roberto Caldelli; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato; | arxiv-cs.CV | 2022-06-28 |
| 986 | Uncovering The Strength of Capsule Networks in Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Information is everywhere, and sometimes we have no idea if what we read, watch or listen is accurate, real or authentic. This paper focuses on detecting deep learning generated … |
Dan-Cristian Stanciu; B. Ionescu; | Proceedings of the 1st International Workshop on Multimedia … | 2022-06-27 |
| 987 | Real-Time Deepfake System for Live Streaming Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper proposes a real-time deepfake framework to assist users use deep forgery to conduct live streaming, further to protect privacy and increase interesting by selecting … |
Yifei Fan; Modan Xie; Peihan Wu; Gang Yang; | Proceedings of the 2022 International Conference on … | 2022-06-27 |
| 988 | Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce Attack Agnostic Dataset – a combination of two audio DeepFakes and one anti-spoofing datasets that, thanks to the disjoint use of attacks, can lead to better generalization of detection methods. |
Piotr Kawa; Marcin Plata; Piotr Syga; | arxiv-cs.SD | 2022-06-27 |
| 989 | Learning Brain Representation Using Recurrent Wasserstein Generative Adversarial Net IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
NING QIANG et. al. | Computer methods and programs in biomedicine | 2022-06-27 |
| 990 | Blockchain for Social Good: Combating Misinformation on The Web with AI and Blockchain Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The spread of deceptive or misleading information, commonly referred to as misinformation, poses a social, economic, and political threat. Such deceptive information spreads … |
O. Seneviratne; | Proceedings of the 14th ACM Web Science Conference 2022 | 2022-06-26 |
| 991 | Identity-Referenced Deepfake Detection with Contrastive Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With current advancements in deep learning technology, it is becoming easier to create high-quality face forgery videos, causing concerns about the misuse of deepfake technology. … |
Dongyao Shen; Youjian Zhao; Chengbin Quan; | Proceedings of the 2022 ACM Workshop on Information Hiding … | 2022-06-23 |
| 992 | FMFCC-V: An Asian Large-Scale Challenging Dataset for DeepFake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The abuse of DeepFake technique has raised enormous public concerns in recent years. Currently, the existing DeepFake datasets suffer some weaknesses of obvious visual artifacts, … |
GEN LI et. al. | Proceedings of the 2022 ACM Workshop on Information Hiding … | 2022-06-23 |
| 993 | Protecting President Zelenskyy Against Deep Fakes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This campaign includes at least one example of a deep-fake video purportedly showing Ukrainian President Zelenskyy admitting defeat and surrendering. In anticipation of future attacks of this form, we describe a facial and gestural behavioral model that captures distinctive characteristics of Zelenskyy’s speaking style. |
Matyáš Boháček; Hany Farid; | arxiv-cs.CV | 2022-06-23 |
| 994 | Analysis of Deep-Fake Technology Impacting Digital World Credibility: A Comprehensive Literature Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep-Fake Technique is a new scientific method that uses Artificial-Intelligince to make fake videos with an affect of facial expressions and coordinated movement of lips. This … |
M. Akbar; Mohd. Suaib; Mohd Shahid Hussain; | International Journal of Computer and Information … | 2022-06-21 |
| 995 | Practical Deepfake Detection: Vulnerabilities in Global Contexts Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We simulate data corruption techniques and examine the performance of a state-of-the-art deepfake detection algorithm on corrupted variants of the FaceForensics++ dataset. |
Yang A. Chuming; Daniel J. Wu; Ken Hong; | arxiv-cs.CV | 2022-06-20 |
| 996 | A Robust Facemask Forgery Detection System in Video Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: An in-depth fake video uses an Artificial Intelligent (AI), AI programming, and a Personal computer (PC) mix to create a deep fake video of the action. Deep-faking can also be … |
F. Almukhtar; | Periodicals of Engineering and Natural Sciences (PEN) | 2022-06-16 |
| 997 | Deepfake Histological Images for Enhancing Digital Pathology Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we present an approach to not only generate histological images that reproduce the diagnostic morphologic features of common disease but also provide a user ability to generate new and rare morphologies. |
KIANOUSH FALAHKHEIRKHAH et. al. | arxiv-eess.IV | 2022-06-16 |
| 998 | A Review of Image Processing Techniques for Deepfakes IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning is used to address a wide range of challenging issues including large data analysis, image processing, object detection, and autonomous control. In the same way, … |
HINA FATIMA SHAHZAD et. al. | Sensors (Basel, Switzerland) | 2022-06-16 |
| 999 | PROBLEMS AND OPPORTUNITIES OF ARTIFICIAL INTELLIGENCE Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This article reviews Artificial Intelligence (AI)’s challenges and opportunities and discusses where AI might be headed. In the first part of the article, it was tried to reveal … |
Necmi Gürsakal; Sadullah Çelik; Bülent Batmaz; | Akademik Yaklaşımlar Dergisi | 2022-06-15 |
| 1000 | Deepfake Histologic Images for Enhancing Digital Pathology IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
KIANOUSH FALAHKHEIRKHAH et. al. | Laboratory investigation; a journal of technical methods … | 2022-06-14 |