Deepfake Detection

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Overview

Deepfake detection studies how to distinguish authentic images, video, and audio from manipulated or AI-generated content, a capability important for verification and security. Detectors look for spatial and frequency artifacts, temporal or physiological irregularities, and inconsistencies across audio, video, and semantic or physical cues; some also use pretrained foundation models, vision-language reasoning, or watermarks. Beyond classifying media, methods increasingly aim to localize altered regions or time spans, identify sources, and provide evidence-grounded explanations. A central challenge is that strong results on familiar benchmarks often fail to transfer to unseen generators, real-world conditions, or degraded media, while shortcuts, calibration, and fairness complicate reliable deployment.

Latest papers

CardsList

241 papers33 papers in the last four weeks, up 38% on the four weeks before. 0.2% of all new papers.

  1. MFVLR: Multi-domain Fine-grained Vision-Language Reconstruction for Generalizable Diffusion Face Forgery Detection and Localization

    May 11, 2026Yaning Zhang, Tianyi Wang, Zan Gao +3Vision-Language ModelsImage Forgery Detection

    Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353, China · School of Computing, National University of Singapore, 21 Lower Kent Ridge Rd, 11907750, Singapore · Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China +2

  2. Only Train Once: Uncertainty-Aware One-Class Learning for Face Authenticity Detection

    May 11, 2026Qingchao Jiang, Zhenxuan Hou, Zhiying Zhu +3Image Forgery DetectionDeepfake Detection

    School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China · College of Computer Science and Artificial Intelligence, Fudan University, Shanghai 200433, China · Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore.

  3. UniShield: Unified Face Attack Detection via KG-Informed Multimodal Reasoning

    May 9, 2026Hongrui Li, Yichen Shi, Hongyang Wang +4Multimodal ReasoningFace Presentation Attack Detection

    Shijiazhuang Tiedao University · Shanghai Jiao Tong University · Ningbo Institute of Digital Twin +1

  4. Exposing and Mitigating Temporal Attack in Deepfake Video Detection

    May 8, 2026Zheyuan Gu, Minghao Shao, Zhen Wang +4Adversarial TrainingAdversarial Robustness

    1Peking University · 2New York University · 3Huzhou University +2

  5. Towards multi-modal forgery representation learning for AI-generated video detection and localization

    May 8, 2026Dat Le, Khoa Nguyen, Xin Wang +1Audio-Visual Representation LearningDeepfake Detection

    Purdue University, West Lafayette · University at Albany, SUNY, New York

  6. Advancing Reliable Synthetic Video Detection: Insights from the SAFE Challenge

    May 7, 2026Kirill Trapeznikov, Gabriel Mancino-Ball, Jonathan Li +9Deepfake DetectionSynthetic Video Detection Benchmarks

    STR · Drexel University · Aptima, Inc. +1

  7. Detecting AI-Generated Videos with Spiking Neural Networks

    May 7, 2026Minsuk Jang, Yujin Yang, Heeseon Kim +3Deepfake DetectionSpiking Neural Networks

    Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea

  8. Beyond Seeing Is Believing: On Crowdsourced Detection of Audiovisual Deepfakes

    May 6, 2026Michael Soprano, Andrea Cioci, Stefano MizzaroAudio Deepfake DetectionExplainable Deepfake Detection

    Department of Mathematics, Computer Science and Physics University of Udine, Udine, Friuli-Venezia Giulia, Italy

  9. Detecting Deepfakes via Hamiltonian Dynamics

    May 6, 2026Harry Cheng, Ming-Hui Liu, Tianyi Wang +3Digital Image ForensicsDeepfake Detection

    School of Computing, National University of Singapore, Singapore · School of Software, Shandong University, China · School of Information Science and Technology, Harbin Institute of Technology (Shenzhen), China +1

  10. Enhancing Self-Supervised Talking Head Forgery Detection via a Training-Free Dual-System Framework

    May 5, 2026Ke Liu, Jiwei Wei, Shuchang Zhou +5Self-Supervised LearningDual-Process Reasoning

    University of Electronic Science and Technology of China Chengdu, China · Hainan University Haikou, China

  11. Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection

    May 2, 2026Tianxiao Li, Zhenglin Huang, Haiquan Wen +10Multimodal Deepfake DetectionExplainable Deepfake Detection

    University of Liverpool · University of Exeter · The Chinese University of Hong Kong, Shenzhen +1

  12. CMTA: Leveraging Cross-Modal Temporal Artifacts for Generalizable AI-Generated Video Detection

    May 1, 2026Hang Wang, Chao Shen, Chenhao Lin +3Cross-Modal AlignmentDeepfake Detection

    Xi’an Jiaotong University, Xi’an, China · The Hong Kong Polytechnic University, Hong Kong, China · Guangdong OPPO Mobile Communications Co., Ltd. +1

  13. Selfie-Capture Dynamics as an Auxiliary Signal Against Deepfakes and Injection Attacks for Mobile Identity Verification

    Apr 30, 2026Erkka Rantahalvari, Olli Silvén, Zinelabidine Boulkenafet +1Biometric IdentificationTime Series Classification

    Candour Oy, Oulu, Finland · University of Oulu, Oulu, Finland

  14. Are DeepFakes Realistic Enough? Exploring Semantic Mismatch as a Novel Challenge

    Apr 30, 2026Sharayu Nilesh Deshmukh, Kailash A. Hambarde, Joana C. Costa +2Audio-Visual UnderstandingAudio Deepfake Detection

    Instituto de Telecomunicações, Universidade da Beira Interior, Portugal

  15. GIFGuard: Proactive Forensics against Deepfakes in Facial GIFs via Spatiotemporal Watermarking

    Apr 29, 2026Shupeng Che, Zhiqing Guo, Changtao Miao +2Digital Image ForensicsDeepfake Detection

    School of Computer Science and Technology, Xinjiang University · Ant Group · College of Computer Science and Electronic Engineering, Hunan University

  16. Attribution-Guided Multimodal Deepfake Detection via Cross-Modal Forensic Fingerprints

    Apr 29, 2026Wasim Ahmad, Wei Zhang, Xuerui MaoAudio Deepfake DetectionCross-Modal Representation Learning

    School of Interdisciplinary Science, Beijing Institute of Technology, Beijing 100081, China

  17. Whether, Which, and Whose: Solving the Triple Challenge of Deepfake Proactive Forensics in Multi-Face Scenarios

    Apr 29, 2026Lei Zhang, Zhiqing Guo, Dan Ma +2Digital ForensicsImage Forgery Localization

    School of Computer Science and Technology, Xinjiang University, Urumqi, 830017, China · Xinjiang Multimodal Intelligent Processing and Information Security Engineering Technology Research Center, Urumqi, 830017, China · College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China

  18. Robust Deepfake Detection: Mitigating Spatial Attention Drift via Calibrated Complementary Ensembles

    Apr 28, 2026Minh-Khoa Le-Phan, Minh-Hoang Le, Trong-Le Do +1Image Corruption RobustnessDeep Ensembles

    University of Science, VNU-HCM, Ho Chi Minh City, Vietnam · Vietnam National University, Ho Chi Minh City, Vietnam

  19. DYMAPIA: A Multi-Domain Framework for Detecting AI-based Video Manipulation

    Apr 27, 2026Md Shohel Rana, Andrew H. SungDigital Image ForensicsDeepfake Detection

    School of Computing Georgia Southern University Statesboro, GA 30460, USA · School of Computing Sciences & Computer Engineering The University of Southern Mississippi Hattiesburg, MS 39406, USA

  20. Robust Deepfake Detection, NTIRE 2026 Challenge: Report

    Apr 27, 2026Benedikt Hopf, Radu Timofte, Chenfan Qu +54Image Corruption RobustnessNeural Network Robustness

  21. LAVA: Layered Audio-Visual Anti-tampering Watermarking for Robust Deepfake Detection and Localization

    Apr 27, 2026Bokang Zeng, Zheng Gao, Xiaoyu Li +2Audio WatermarkingDeepfake Detection

    School of Computer Science and Engineering UNSW Sydney Sydney, Australia · School of Information and Communication Technology Griffith University Brisbane, Australia

  22. Interpretable facial dynamics as behavioral and perceptual traces of deepfakes

    Apr 23, 2026Timothy Joseph Murphy, Jennifer Cook, Hélio Clemente José CuveExplainable Deepfake DetectionDeepfake Detection

    School of Psychology, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom · School of Psychology and Neuroscience, University of Bristol, 12a Priory Road, Bristol, BS8 1TU, United Kingdom

  23. Unveiling Deepfakes: A Frequency-Aware Triple Branch Network for Deepfake Detection

    Apr 19, 2026Qihao Shen, Jiaxing Xuan, Zhenguang Liu +5Frequency-Domain Feature LearningDeepfake Detection

    State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China · State Grid Blockchain Technology (Beijing) Co., Ltd., Beijing, China · Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security +3

  24. Towards Generalizable Deepfake Image Detection with Vision Transformers

    Apr 19, 2026Kaliki V Srinanda, M Manvith Prabhu, Hemanth K Mogilipalem +4Deepfake Detection

    Department of Electronics and Communication Engineering National Institute of Technology Karnataka (NITK), Surathkal - 575025, India · Department of Information Technology National Institute of Technology Karnataka (NITK), Surathkal - 575025, India · Department of Electrical and Electronics Engineering National Institute of Technology Karnataka (NITK), Surathkal - 575025, India

  25. Generalizable Face Forgery Detection via Separable Prompt Learning

    Apr 19, 2026Enrui Yang, Yuezun LiPrompt LearningImage Forgery Detection

    School of Computer Science and Technology, Ocean University of China, Qingdao, China

  26. Fractal Characterization of Low-Correlation Signals in AI-Generated Image Detection

    Apr 19, 2026Wenwei Xie, Jie Yin, Lu Ma +2Digital Image ForensicsDeepfake Detection

    Trend Micro Incorporated, Nanjing 210000, Jiangsu, China · Jiangsu Police Institute, Nanjing 210031, Jiangsu, China · BASF Incorporated, Nanjing 210000, Jiangsu, China +2

  27. DVAR: Adversarial Multi-Agent Debate for Video Authenticity Detection

    Apr 18, 2026Hongyuan Qi, Feifei Shao, Ming Li +2Multi-Agent DebateDeepfake Detection

    Zhejiang University Hangzhou, Zhejiang, China · Guangming Lab Shenzhen, Guangdong, China

  28. LADDER: Landmark-Only Lip-Sync Deepfake Detection Across Generators and Languages

    Apr 18, 2026Hao Chen, Junnan XuDomain GeneralizationDeepfake Detection

    Independent Researcher

  29. AIFIND: Artifact-Aware Interpreting Fine-Grained Alignment for Incremental Face Forgery Detection

    Apr 17, 2026Hao Wang, Beichen Zhang, Yanpei Gong +5Class-Incremental LearningImage Forgery Detection

    School of Computer Science and Technology, Harbin Institute of Technology, Weihai

  30. M3D-Net: Multi-Modal 3D Facial Feature Reconstruction Network for Deepfake Detection

    Apr 16, 2026Haotian Wu, Yue Cheng, Shan BianMultimodal Deepfake DetectionDeepfake Detection

    a College of Mathematics and Informatics, South China Agricultural University, Wushan 2026 Road, Tianhe District, Guangzhou, 510642, China