{"total":145,"rows":[{"id":"2103.02406","title":"Multi-attentional Deepfake Detection","created":"2021-03-03","cited_by_count":341,"area":null},{"id":"2101.01456","title":"WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection","created":"2021-01-05","cited_by_count":209,"area":null},{"id":"2103.16076","title":"Face Forensics in the Wild","created":"2021-03-30","cited_by_count":87,"area":null},{"id":"2103.00484","title":"Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward","created":"2021-02-25","cited_by_count":82,"area":null},{"id":"2310.00076","title":"Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks","created":"2023-09-29","cited_by_count":81,"area":"safety"},{"id":"2102.11126","title":"Deepfake Video Detection Using Convolutional Vision Transformer","created":"2021-02-22","cited_by_count":79,"area":null},{"id":"2402.00045","title":"Detecting Multimedia Generated by Large AI Models: A Survey","created":"2024-01-22","cited_by_count":76,"area":"diffusion"},{"id":"2206.02749","title":"CORE: Consistent Representation Learning for Face Forgery Detection","created":"2022-06-06","cited_by_count":74,"area":null},{"id":"2106.14948","title":"Deep Learning for Face Anti-Spoofing: A Survey","created":"2021-06-28","cited_by_count":65,"area":null},{"id":"2103.00218","title":"Countering Malicious DeepFakes: Survey, Battleground, and Horizon","created":"2021-02-27","cited_by_count":56,"area":null},{"id":"2211.10881","title":"Deepfake Detection: A Comprehensive Survey from the Reliability Perspective","created":"2022-11-20","cited_by_count":50,"area":null},{"id":"2111.11547","title":"Camera Measurement of Physiological Vital Signs","created":"2021-11-22","cited_by_count":49,"area":null},{"id":"2402.12927","title":"CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection","created":"2024-02-20","cited_by_count":47,"area":"mllm"},{"id":"2210.09421","title":"Deepfake Text Detection: Limitations and Opportunities","created":"2022-10-17","cited_by_count":37,"area":null},{"id":"2207.09202","title":"Exploring Disentangled Content Information for Face Forgery Detection","created":"2022-07-19","cited_by_count":36,"area":null},{"id":"2309.06924","title":"Contrast-Phys+: Unsupervised and Weakly-supervised Video-based Remote Physiological Measurement via Spatiotemporal Contrast","created":"2023-09-13","cited_by_count":34,"area":null},{"id":"2108.05307","title":"Video Transformer for Deepfake Detection with Incremental Learning","created":"2021-08-11","cited_by_count":33,"area":null},{"id":"2202.07145","title":"GAN-generated Faces Detection: A Survey and New Perspectives","created":"2022-02-15","cited_by_count":30,"area":null},{"id":"2404.08452","title":"MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection","created":"2024-04-12","cited_by_count":27,"area":"moe"},{"id":"2406.04932","title":"Faster Than Lies: Real-time Deepfake Detection using Binary Neural Networks","created":"2024-06-07","cited_by_count":27,"area":null},{"id":"2111.01048","title":"MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation","created":"2021-11-01","cited_by_count":24,"area":null},{"id":"2208.05401","title":"Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues","created":"2022-08-10","cited_by_count":24,"area":null},{"id":"2506.16802","title":"Seeing What Matters: Generalizable AI-generated Video Detection with Forensic-Oriented Augmentation","created":"2025-06-20","cited_by_count":23,"area":null},{"id":"2412.12278","title":"Towards a Universal Synthetic Video Detector: From Face or Background Manipulations to Fully AI-Generated Content","created":"2024-12-16","cited_by_count":22,"area":null},{"id":"2105.06117","title":"TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised Learning","created":"2021-05-13","cited_by_count":19,"area":null},{"id":"2209.14692","title":"Digital and Physical Face Attacks: Reviewing and One Step Further","created":"2022-09-29","cited_by_count":17,"area":null},{"id":"2112.10936","title":"Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion","created":"2021-12-21","cited_by_count":15,"area":null},{"id":"2306.11503","title":"The Age of Synthetic Realities: Challenges and Opportunities","created":"2023-06-09","cited_by_count":15,"area":null},{"id":"2111.04230","title":"A Study of the Human Perception of Synthetic Faces","created":"2021-11-08","cited_by_count":14,"area":null},{"id":"2504.04827","title":"From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes","created":"2025-04-07","cited_by_count":14,"area":null},{"id":"2202.06095","title":"A Review of Deep Learning-based Approaches for Deepfake Content Detection","created":"2022-02-12","cited_by_count":13,"area":null},{"id":"2208.05845","title":"Analyzing Fairness in Deepfake Detection With Massively Annotated Databases","created":"2022-08-11","cited_by_count":13,"area":null},{"id":"2307.07036","title":"GenConViT: Deepfake Video Detection Using Generative Convolutional Vision Transformer","created":"2023-07-13","cited_by_count":13,"area":null},{"id":"2210.09563","title":"FedForgery: Generalized Face Forgery Detection with Residual Federated Learning","created":"2022-10-18","cited_by_count":12,"area":null},{"id":"2302.13288","title":"Learning Pairwise Interaction for Generalizable DeepFake Detection","created":"2023-02-26","cited_by_count":11,"area":null},{"id":"2303.12059","title":"Motion Matters: Neural Motion Transfer for Better Camera Physiological Measurement","created":"2023-03-21","cited_by_count":11,"area":null},{"id":"2409.01030","title":"Learning to Discover Forgery Cues for Face Forgery Detection","created":"2024-09-02","cited_by_count":11,"area":null},{"id":"2503.21003","title":"Forensic Self-Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-generated Images","created":"2025-03-26","cited_by_count":11,"area":null},{"id":"2503.24267","title":"FakeScope: Large Multimodal Expert Model for Transparent AI-Generated Image Forensics","created":"2025-03-31","cited_by_count":11,"area":null},{"id":"2211.09363","title":"Generalizable Deepfake Detection with Phase-Based Motion Analysis","created":"2022-11-17","cited_by_count":10,"area":null},{"id":"2101.01165","title":"Where Do Deep Fakes Look? Synthetic Face Detection via Gaze Tracking","created":"2021-01-04","cited_by_count":9,"area":null},{"id":"2106.12832","title":"Detection of Deepfake Videos Using Long Distance Attention","created":"2021-06-24","cited_by_count":9,"area":null},{"id":"2302.05794","title":"Mutation-Based Adversarial Attacks on Neural Text Detectors","created":"2023-02-11","cited_by_count":9,"area":null},{"id":"2209.09111","title":"DeePhy: On Deepfake Phylogeny","created":"2022-09-19","cited_by_count":8,"area":null},{"id":"2303.08439","title":"Real Face Foundation Representation Learning for Generalized Deepfake Detection","created":"2023-03-15","cited_by_count":8,"area":null},{"id":"2404.01579","title":"Diffusion Deepfake","created":"2024-04-02","cited_by_count":8,"area":"diffusion"},{"id":"2408.12793","title":"La-SoftMoE CLIP for Unified Physical-Digital Face Attack Detection","created":"2024-08-23","cited_by_count":8,"area":"moe"},{"id":"2408.12791","title":"Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture","created":"2024-08-23","cited_by_count":7,"area":null},{"id":"2508.09913","title":"SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection","created":"2025-08-13","cited_by_count":7,"area":null},{"id":"2108.12715","title":"DeepFake Detection with Inconsistent Head Poses: Reproducibility and Analysis","created":"2021-08-28","cited_by_count":6,"area":null},{"id":"2208.05820","title":"Hybrid Transformer Network for Deepfake Detection","created":"2022-08-11","cited_by_count":6,"area":null},{"id":"2208.10913","title":"Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Review","created":"2022-08-21","cited_by_count":6,"area":null},{"id":"2303.18174","title":"Diff-ID: An Explainable Identity Difference Quantification Framework for DeepFake Detection","created":"2023-03-30","cited_by_count":6,"area":null},{"id":"2307.15019","title":"Self-Supervised Graph Transformer for Deepfake Detection","created":"2023-07-27","cited_by_count":6,"area":null},{"id":"2102.05950","title":"Adversarially robust deepfake media detection using fused convolutional neural network predictions","created":"2021-02-11","cited_by_count":5,"area":null},{"id":"2103.02484","title":"DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization","created":"2021-03-03","cited_by_count":5,"area":null},{"id":"2212.14033","title":"How Do Deepfakes Move? Motion Magnification for Deepfake Source Detection","created":"2022-12-28","cited_by_count":5,"area":null},{"id":"2307.14593","title":"FakeTracer: Catching Face-swap DeepFakes via Implanting Traces in Training","created":"2023-07-27","cited_by_count":5,"area":null},{"id":"2308.01520","title":"COMICS: End-to-end Bi-grained Contrastive Learning for Multi-face Forgery Detection","created":"2023-08-03","cited_by_count":5,"area":null},{"id":"2505.08614","title":"WaveGuard: Robust Deepfake Detection and Source Tracing via Dual-Tree Complex Wavelet and Graph Neural Networks","created":"2025-05-13","cited_by_count":5,"area":null},{"id":"2509.22070","title":"SpecXNet: A Dual-Domain Convolutional Network for Robust Deepfake Detection","created":"2025-09-26","cited_by_count":5,"area":"diffusion"},{"id":"2109.07311","title":"MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection","created":"2021-09-15","cited_by_count":4,"area":null},{"id":"2111.07601","title":"FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations","created":"2021-11-15","cited_by_count":4,"area":null},{"id":"2212.03678","title":"Face Forgery Detection Based on Facial Region Displacement Trajectory Series","created":"2022-12-07","cited_by_count":4,"area":null},{"id":"2305.06564","title":"Undercover Deepfakes: Detecting Fake Segments in Videos","created":"2023-05-11","cited_by_count":4,"area":"diffusion"},{"id":"2306.06881","title":"Unmasking Deepfakes: Masked Autoencoding Spatiotemporal Transformers for Enhanced Video Forgery Detection","created":"2023-06-12","cited_by_count":4,"area":null},{"id":"2411.17911","title":"Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey","created":"2024-11-26","cited_by_count":4,"area":null},{"id":"2605.30062","title":"FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection","created":"2026-05-28","cited_by_count":4,"area":null},{"id":"2110.15561","title":"Exposing Deepfake with Pixel-wise AR and PPG Correlation from Faint Signals","created":"2021-10-29","cited_by_count":3,"area":null},{"id":"2207.01199","title":"Identifying Rhythmic Patterns for Face Forgery Detection and Categorization","created":"2022-07-04","cited_by_count":3,"area":null},{"id":"2305.16138","title":"Introducing Explicit Gaze Constraints to Face Swapping","created":"2023-05-25","cited_by_count":3,"area":null},{"id":"2311.10788","title":"Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors","created":"2023-11-17","cited_by_count":3,"area":null},{"id":"2507.14807","title":"Seeing Through Deepfakes: A Human-Inspired Framework for Multi-Face Detection","created":"2025-07-20","cited_by_count":3,"area":null},{"id":"2508.20987","title":"Webly-Supervised Image Manipulation Localization via Category-Aware Auto-Annotation","created":"2025-08-28","cited_by_count":3,"area":null},{"id":"2602.06676","title":"Can We Build a Monolithic Model for Fake Image Detection? SICA: Semantic-Induced Constrained Adaptation for Unified-Yet-Discriminative Artifact Feature Space Reconstruction","created":"2026-02-06","cited_by_count":3,"area":null},{"id":"2207.08380","title":"Visual Representations of Physiological Signals for Fake Video Detection","created":"2022-07-18","cited_by_count":2,"area":null},{"id":"2212.05667","title":"Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection","created":"2022-12-12","cited_by_count":2,"area":null},{"id":"2303.01740","title":"Mover: Mask and Recovery based Facial Part Consistency Aware Method for Deepfake Video Detection","created":"2023-03-03","cited_by_count":2,"area":null},{"id":"2308.03471","title":"Deepfake Detection: A Comparative Analysis","created":"2023-08-07","cited_by_count":2,"area":null},{"id":"2404.12841","title":"Explainable Deepfake Video Detection using Convolutional Neural Network and CapsuleNet","created":"2024-04-19","cited_by_count":2,"area":null},{"id":"2406.03684","title":"Principles of Designing Robust Remote Face Anti-Spoofing Systems","created":"2024-06-06","cited_by_count":2,"area":null},{"id":"2501.11927","title":"A Lightweight and Interpretable Deepfakes Detection Framework","created":"2025-01-21","cited_by_count":2,"area":null},{"id":"2504.04818","title":"SUEDE:Shared Unified Experts for Physical-Digital Face Attack Detection Enhancement","created":"2025-04-07","cited_by_count":2,"area":"moe"},{"id":"2505.21520","title":"Do DeepFake Attribution Models Generalize?","created":"2025-05-22","cited_by_count":2,"area":null},{"id":"2509.23289","title":"Seeing Through the Blur: Unlocking Defocus Maps for Deepfake Detection","created":"2025-09-27","cited_by_count":2,"area":null},{"id":"2510.03548","title":"Unmasking Puppeteers: Leveraging Biometric Leakage to Expose Impersonation in AI-Based Videoconferencing","created":"2025-10-03","cited_by_count":2,"area":null},{"id":"2602.23732","title":"A Difference-in-Difference Approach to Detecting AI-Generated Images","created":"2026-02-27","cited_by_count":2,"area":"diffusion"},{"id":"2107.02016","title":"FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point Defects","created":"2021-07-05","cited_by_count":1,"area":null},{"id":"2109.02874","title":"DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning","created":"2021-09-07","cited_by_count":1,"area":null},{"id":"2208.08524","title":"DF-Captcha: A Deepfake Captcha for Preventing Fake Calls","created":"2022-08-17","cited_by_count":1,"area":null},{"id":"2211.13424","title":"Deepfake Detection via Joint Unsupervised Reconstruction and Supervised Classification","created":"2022-11-24","cited_by_count":1,"area":null},{"id":"2402.03188","title":"Towards mitigating uncann(eye)ness in face swaps via gaze-centric loss terms","created":"2024-02-05","cited_by_count":1,"area":null},{"id":"2402.13126","title":"VGMShield: Mitigating Misuse of Video Generative Models","created":"2024-02-20","cited_by_count":1,"area":null},{"id":"2406.19941","title":"GRACE: Graph-Regularized Attentive Convolutional Entanglement with Laplacian Smoothing for Robust DeepFake Video Detection","created":"2024-06-28","cited_by_count":1,"area":null},{"id":"2411.19715","title":"Forensics Adapter: Unleashing CLIP for Generalizable Face Forgery Detection","created":"2024-11-29","cited_by_count":1,"area":null},{"id":"2504.02898","title":"A Practical Synthesis of Detecting AI-Generated Textual, Visual, and Audio Content","created":"2025-04-02","cited_by_count":1,"area":null},{"id":"2504.03615","title":"Autonomous and Self-Adapting System for Synthetic Media Detection and Attribution","created":"2025-04-04","cited_by_count":1,"area":null},{"id":"2504.21846","title":"Combating Falsification of Speech Videos with Live Optical Signatures (Extended Version)","created":"2025-04-30","cited_by_count":1,"area":null},{"id":"2505.04888","title":"Cross-Branch Orthogonality for Improved Generalization in Face Deepfake Detection","created":"2025-05-08","cited_by_count":1,"area":null},{"id":"2509.05753","title":"Tell-Tale Watermarks for Explanatory Reasoning in Synthetic Media Forensics","created":"2025-09-06","cited_by_count":1,"area":null}],"next_cursor":"100"}