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. Revealing Artifacts via Noise Amplification: A Novel Perspective for AI-Generated Video Detection

    Jun 15, 2026Renxi Cheng, Jie Gui, Hongsong WangDigital Image ForensicsDeepfake Detection

  2. Teacher-Student Structure for Domain Adaptation in Ensemble Audio-Visual Video Deepfake Detection

    Jun 13, 2026Elham Abolhasani, Maryam Ramezani, Hamid R. RabieeAudio Deepfake DetectionDomain Adaptation

  3. A Multi-Domain Feature Fusion Framework for Generalizable Deepfake Detection Across Different Generators

    Jun 12, 2026Amna Amjid, Sana Qadir, Mehwish Fatima +1Deepfake DetectionFeature Fusion

  4. Detecting Temporally Localized Manipulations in Authentic Video Streams

    Jun 5, 2026Okan Umur, Ali Emre Güşlü, Ibrahim DelibasogluDeepfake DetectionTemporal Video Forgery Localization

  5. IRIS-GAN: Staged Specialist Detection of Deepfake Faces

    Jun 3, 2026Jaume M. Trenchs, Veronica SanzDeepfake DetectionAI-Generated Image Detection

  6. ReConFuse: Reconstruction-Error Guided Semantic Fusion for AI-Generated Video Detection

    Jun 3, 2026Xiaojing Chen, Xinyu Lu, Changtao Miao +1Deepfake DetectionReconstruction-Based Anomaly Detection

  7. The DeepSpeak-Agentic Dataset

    Jun 2, 2026Sarah Barrington, Maty Bohacek, Hany FaridAI Agent EvaluationHuman-AI Interaction

  8. Explainable Forensics of Manipulated Segments in Untrimmed Long Videos

    Jun 1, 2026Yue Feng, Jingjing Li, Qijia Lu +9Digital ForensicsDeepfake Detection

  9. Divide and Conquer: Reliable Multi-View Evidential Learning for Deepfake Detection

    Jun 1, 2026Xiaolu Kang, Zhongyuan Wang, Jikang Cheng +5Evidential Deep LearningMulti-View Learning

  10. Suppressing Forgery-Specific Shortcuts for Generalizable Deepfake Detection

    Jun 1, 2026Yihui Wang, Yonghui Yang, Jilong Liu +3OOD GeneralizationDeepfake Detection

  11. The Regularizing Power of Language-Training Deepfake Detectors

    May 29, 2026Benedikt Hopf, Zongwei Wu, Radu TimofteVLM RobustnessExplainable Deepfake Detection

  12. DeepFake Forensics AI: A Multi-Modal Detection and Blockchain-Anchored Evidence Management Platform

    May 28, 2026Naisha MinnahAudio Deepfake DetectionImage Forgery Detection

  13. Lightweight Complementary-Cue Fusion for Robust Video Face Forgery Detection

    May 27, 2026Sunghwan Baek, Tariq Anwaar, Karanveer Singh +1Frequency-Domain Feature LearningDeepfake Detection

  14. CoCoVideo: The High-Quality Commercial-Model-Based Contrastive Benchmark for AI-Generated Video Detection

    May 26, 2026Huidong Feng, Wentao Chen, Jie Chen +5Deepfake DetectionSynthetic Video Detection Benchmarks

  15. Segmentation-Guided Spatial Indexing for Generalizable and Explainable Deepfake Detection

    May 25, 2026Izaldein Al-Zyoud, Abdulmotaleb El SaddikExplainable Deepfake DetectionDeepfake Detection

  16. Cross-Domain Generalization Limits of Vision Foundation Models in Facial Deepfake Detection

    May 24, 2026Ibrahim DelibasogluVision Foundation ModelsCross-Domain Generalization

  17. Inconsistency-aware Multimodal Schrödinger Bridge for Deepfake Localization

    May 22, 2026Jiayu Xiong, Jing Wang, Qi Zhang +2Cross-Modal LearningMultimodal Robustness

  18. Video as Natural Augmentation: Towards Unified AI-Generated Image and Video Detection

    May 21, 2026Zhengcen Li, Chenyang Jiang, Liangxu Su +4Data AugmentationDeepfake Detection

  19. EMO-BOOST: Emotion-Augmented Audio-Visual Features for Improved Generalization in Deepfake Detection

    May 19, 2026Aritra Marik, Marcel Klemt, Anna RohrbachAudio Deepfake DetectionDeepfake Detection

  20. Scalable, Energy-Efficient Optical-Neural Architecture for Multiplexed Deepfake Video Detection

    May 19, 2026Parnian Ghapandar Kashani, Shiqi Chen, Aydogan OzcanEfficient Neural Network InferenceDeepfake Detection

  21. Deepfake Detection in Social Media: A Temporal Artifact Analysis Using 3D Convolutional Neural Networks

    May 17, 2026Mohammadreza Rashidi, Raja Hashim Ali, Sami Ur RahmanDeepfake Detection3D CNNs

  22. SpecSem-Net: Integrating Spectral and Semantic Features for Robust AI-generated Video Detection

    May 17, 2026Zixi Wei, Huixuaun Zhang, Xiaojun WanDigital ForensicsDeepfake Detection

  23. CAM-VFD: Cross-Attention Multimodal Video Forgery Detection

    May 16, 2026Hoda Osama Elkhodary, Sherin Mostafa Youssef, Marwa Elshenawy +1Multimodal Deepfake DetectionMultimodal Robustness

  24. Backbone is All You Need: Assessing Vulnerabilities of Frozen Foundation Models in Synthetic Image Forensics

    May 13, 2026Chiara Musso, Joy Battocchio, Andrea Montibeller +1Adversarial AttacksVision Transformer

  25. The Deepfakes We Missed: We Built Detectors for a Threat That Didn't Arrive

    May 12, 2026Shaina RazaDeepfake DetectionAI-Generated Image Detection

  26. The Alpha Blending Hypothesis: Compositing Shortcut in Deepfake Detection

    May 11, 2026Andrii Yermakov, Jan Cech, Mario Fritz +1Image Forgery DetectionDeepfake Detection