{"total":260,"rows":[{"id":"2103.02406","title":"Multi-attentional Deepfake Detection","created":"2021-03-03","cited_by_count":341,"area":null},{"id":"2204.08376","title":"Detecting Deepfakes with Self-Blended Images","created":"2022-04-18","cited_by_count":338,"area":null},{"id":"2306.08571","title":"GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image","created":"2023-06-14","cited_by_count":321,"area":null},{"id":"2103.12376","title":"Generalizing Face Forgery Detection with High-frequency Features","created":"2021-03-23","cited_by_count":262,"area":null},{"id":"2103.01856","title":"Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain","created":"2021-03-02","cited_by_count":244,"area":null},{"id":"2304.13949","title":"UCF: Uncovering Common Features for Generalizable Deepfake Detection","created":"2023-04-27","cited_by_count":180,"area":null},{"id":"2307.01426","title":"DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection","created":"2023-07-04","cited_by_count":166,"area":null},{"id":"2103.09096","title":"Frequency-aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection","created":"2021-03-16","cited_by_count":134,"area":null},{"id":"2303.17111","title":"Hierarchical Fine-Grained Image Forgery Detection and Localization","created":"2023-03-30","cited_by_count":134,"area":null},{"id":"2103.10596","title":"PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization","created":"2021-03-19","cited_by_count":133,"area":null},{"id":"2201.07131","title":"Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection","created":"2022-01-18","cited_by_count":130,"area":null},{"id":"2406.13495","title":"DF40: Toward Next-Generation Deepfake Detection","created":"2024-06-19","cited_by_count":129,"area":null},{"id":"2311.11278","title":"Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection","created":"2023-11-19","cited_by_count":127,"area":null},{"id":"2103.05630","title":"ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis","created":"2021-03-09","cited_by_count":126,"area":null},{"id":"2410.02761","title":"FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models","created":"2024-10-03","cited_by_count":113,"area":"mllm"},{"id":"2104.06609","title":"Representative Forgery Mining for Fake Face Detection","created":"2021-04-14","cited_by_count":108,"area":null},{"id":"2105.02577","title":"Local Relation Learning for Face Forgery Detection","created":"2021-05-06","cited_by_count":100,"area":null},{"id":"2112.13522","title":"Dual Contrastive Learning for General Face Forgery Detection","created":"2021-12-27","cited_by_count":100,"area":null},{"id":"2203.01318","title":"Protecting Celebrities from DeepFake with Identity Consistency Transformer","created":"2022-03-02","cited_by_count":95,"area":null},{"id":"2109.01860","title":"Spatiotemporal Inconsistency Learning for DeepFake Video Detection","created":"2021-09-04","cited_by_count":88,"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":"2307.08317","title":"AltFreezing for More General Video Face Forgery Detection","created":"2023-07-17","cited_by_count":78,"area":null},{"id":"2206.02749","title":"CORE: Consistent Representation Learning for Face Forgery Detection","created":"2022-06-06","cited_by_count":74,"area":null},{"id":"2210.12752","title":"UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection","created":"2022-10-23","cited_by_count":69,"area":null},{"id":"2403.17881","title":"Deepfake Generation and Detection: A Benchmark and Survey","created":"2024-03-26","cited_by_count":67,"area":null},{"id":"2304.13023","title":"Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images","created":"2023-04-25","cited_by_count":66,"area":null},{"id":"2408.10072","title":"FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistant","created":"2024-08-19","cited_by_count":61,"area":"mllm"},{"id":"2109.00911","title":"BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection","created":"2021-08-16","cited_by_count":60,"area":null},{"id":"2112.13977","title":"Exploiting Fine-grained Face Forgery Clues via Progressive Enhancement Learning","created":"2021-12-28","cited_by_count":60,"area":null},{"id":"2408.17065","title":"Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning","created":"2024-08-30","cited_by_count":59,"area":null},{"id":"2106.07873","title":"Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images","created":"2021-06-15","cited_by_count":58,"area":null},{"id":"2103.00218","title":"Countering Malicious DeepFakes: Survey, Battleground, and Horizon","created":"2021-02-27","cited_by_count":56,"area":null},{"id":"2102.09546","title":"Deep Gait Recognition: A Survey","created":"2021-02-18","cited_by_count":54,"area":null},{"id":"2305.13507","title":"Multimodal Automated Fact-Checking: A Survey","created":"2023-05-22","cited_by_count":53,"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":"2211.11296","title":"SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes","created":"2022-11-21","cited_by_count":49,"area":null},{"id":"2408.17052","title":"Can We Leave Deepfake Data Behind in Training Deepfake Detector?","created":"2024-08-30","cited_by_count":49,"area":null},{"id":"2304.06870","title":"AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics","created":"2023-04-14","cited_by_count":46,"area":null},{"id":"2203.15674","title":"Exploring Frequency Adversarial Attacks for Face Forgery Detection","created":"2022-03-29","cited_by_count":45,"area":null},{"id":"2307.16545","title":"Towards General Visual-Linguistic Face Forgery Detection","created":"2023-07-31","cited_by_count":45,"area":null},{"id":"2503.02857","title":"Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024","created":"2025-03-04","cited_by_count":45,"area":null},{"id":"2204.03083","title":"Audio-Visual Person-of-Interest DeepFake Detection","created":"2022-04-06","cited_by_count":43,"area":null},{"id":"2207.02803","title":"Delving into Sequential Patches for Deepfake Detection","created":"2022-07-06","cited_by_count":41,"area":null},{"id":"2503.20188","title":"Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector","created":"2025-03-26","cited_by_count":40,"area":"mllm"},{"id":"2107.05821","title":"Detect and Locate: Exposing Face Manipulation by Semantic- and Noise-level Telltales","created":"2021-07-13","cited_by_count":39,"area":null},{"id":"2208.11148","title":"Multi-domain Learning for Updating Face Anti-spoofing Models","created":"2022-08-23","cited_by_count":39,"area":null},{"id":"2112.10098","title":"Initiative Defense against Facial Manipulation","created":"2021-12-19","cited_by_count":36,"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":"2209.15490","title":"Learning Second Order Local Anomaly for General Face Forgery Detection","created":"2022-09-30","cited_by_count":36,"area":null},{"id":"2309.02218","title":"Robustness and Generalizability of Deepfake Detection: A Study with Diffusion Models","created":"2023-09-05","cited_by_count":36,"area":"diffusion"},{"id":"2203.15880","title":"Proactive Image Manipulation Detection","created":"2022-03-29","cited_by_count":35,"area":null},{"id":"2306.10988","title":"Tame a Wild Camera: In-the-Wild Monocular Camera Calibration","created":"2023-06-19","cited_by_count":34,"area":null},{"id":"2112.00686","title":"CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning","created":"2021-12-01","cited_by_count":33,"area":null},{"id":"2211.07968","title":"NeRFFaceEditing: Disentangled Face Editing in Neural Radiance Fields","created":"2022-11-15","cited_by_count":33,"area":null},{"id":"2104.02156","title":"Unified Detection of Digital and Physical Face Attacks","created":"2021-04-05","cited_by_count":31,"area":null},{"id":"2507.14632","title":"BusterX++: Towards Unified Cross-Modal AI-Generated Content Detection and Explanation with MLLM","created":"2025-07-19","cited_by_count":29,"area":null},{"id":"2309.11132","title":"Contrastive Pseudo Learning for Open-World DeepFake Attribution","created":"2023-09-20","cited_by_count":27,"area":null},{"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":"2501.04376","title":"Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing","created":"2025-01-08","cited_by_count":27,"area":null},{"id":"2112.12606","title":"Towards Universal GAN Image Detection","created":"2021-12-23","cited_by_count":26,"area":null},{"id":"2303.16976","title":"MaLP: Manipulation Localization Using a Proactive Scheme","created":"2023-03-29","cited_by_count":26,"area":null},{"id":"2309.11131","title":"Locate and Verify: A Two-Stream Network for Improved Deepfake Detection","created":"2023-09-20","cited_by_count":26,"area":null},{"id":"2102.09603","title":"Towards Solving the DeepFake Problem : An Analysis on Improving DeepFake Detection using Dynamic Face Augmentation","created":"2021-02-18","cited_by_count":25,"area":null},{"id":"2211.08615","title":"GLFF: Global and Local Feature Fusion for AI-synthesized Image Detection","created":"2022-11-16","cited_by_count":25,"area":"diffusion"},{"id":"2311.04584","title":"Weakly-supervised deepfake localization in diffusion-generated images","created":"2023-11-08","cited_by_count":24,"area":"diffusion"},{"id":"2211.10996","title":"MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection","created":"2022-11-20","cited_by_count":23,"area":null},{"id":"2308.06217","title":"Continual Face Forgery Detection via Historical Distribution Preserving","created":"2023-08-11","cited_by_count":23,"area":null},{"id":"2505.11003","title":"ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization","created":"2025-05-16","cited_by_count":22,"area":null},{"id":"2307.14039","title":"Controllable Guide-Space for Generalizable Face Forgery Detection","created":"2023-07-26","cited_by_count":21,"area":null},{"id":"2507.18015","title":"Celeb-DF++: A Large-scale Challenging Video DeepFake Benchmark for Generalizable Forensics","created":"2025-07-24","cited_by_count":21,"area":null},{"id":"2104.11507","title":"DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning","created":"2021-04-23","cited_by_count":20,"area":null},{"id":"2306.17075","title":"Detect Any Deepfakes: Segment Anything Meets Face Forgery Detection and Localization","created":"2023-06-29","cited_by_count":20,"area":null},{"id":"2311.00962","title":"Detecting Generated Images by Real Images Only","created":"2023-11-02","cited_by_count":20,"area":null},{"id":"2209.05299","title":"Deep Convolutional Pooling Transformer for Deepfake Detection","created":"2022-09-12","cited_by_count":19,"area":null},{"id":"2406.16531","title":"GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization","created":"2024-06-24","cited_by_count":19,"area":null},{"id":"2103.14211","title":"MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes","created":"2021-03-26","cited_by_count":17,"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":"2311.01458","title":"Detecting Deepfakes Without Seeing Any","created":"2023-11-02","cited_by_count":17,"area":null},{"id":"2401.17699","title":"Unified Physical-Digital Face Attack Detection","created":"2024-01-31","cited_by_count":17,"area":null},{"id":"2409.08849","title":"DeCLIP: Decoding CLIP representations for deepfake localization","created":"2024-09-12","cited_by_count":17,"area":null},{"id":"2303.00917","title":"Enhancing General Face Forgery Detection via Vision Transformer with Low-Rank Adaptation","created":"2023-03-02","cited_by_count":16,"area":null},{"id":"2405.08838","title":"PolyGlotFake: A Novel Multilingual and Multimodal DeepFake Dataset","created":"2024-05-14","cited_by_count":16,"area":null},{"id":"2410.23556","title":"Language-guided Hierarchical Fine-grained Image Forgery Detection and Localization","created":"2024-10-31","cited_by_count":16,"area":null},{"id":"2103.08134","title":"Detection and Localization of Facial Expression Manipulations","created":"2021-03-15","cited_by_count":15,"area":null},{"id":"2103.13567","title":"Deepfake Forensics via An Adversarial Game","created":"2021-03-25","cited_by_count":15,"area":null},{"id":"2203.02115","title":"Towards Benchmarking and Evaluating Deepfake Detection","created":"2022-03-04","cited_by_count":15,"area":null},{"id":"2408.07728","title":"Moderator: Moderating Text-to-Image Diffusion Models through Fine-grained Context-based Policies","created":"2024-08-14","cited_by_count":15,"area":"diffusion"},{"id":"2204.04513","title":"On the Exploitation of Deepfake Model Recognition","created":"2022-04-09","cited_by_count":14,"area":null},{"id":"2401.04364","title":"SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework","created":"2024-01-09","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":"2509.22412","title":"FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing","created":"2025-09-26","cited_by_count":14,"area":null},{"id":"2310.01830","title":"AI-Generated Images as Data Source: The Dawn of Synthetic Era","created":"2023-10-03","cited_by_count":13,"area":null},{"id":"2404.17867","title":"Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics","created":"2024-04-27","cited_by_count":13,"area":"safety"},{"id":"2407.10575","title":"A Survey of Defenses Against AI-Generated Visual Media: Detection,Disruption, and Authentication","created":"2024-07-15","cited_by_count":13,"area":null},{"id":"2503.15024","title":"Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models","created":"2025-03-19","cited_by_count":13,"area":"mllm"},{"id":"2110.01640","title":"An Experimental Evaluation on Deepfake Detection using Deep Face Recognition","created":"2021-10-04","cited_by_count":12,"area":null},{"id":"2312.08675","title":"AVA: Inconspicuous Attribute Variation-based Adversarial Attack bypassing DeepFake Detection","created":"2023-12-14","cited_by_count":12,"area":null},{"id":"2402.02003","title":"GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning","created":"2024-02-03","cited_by_count":12,"area":null},{"id":"2112.04298","title":"GCA-Net : Utilizing Gated Context Attention for Improving Image Forgery Localization and Detection","created":"2021-12-08","cited_by_count":11,"area":null},{"id":"2207.10183","title":"2D GANs Meet Unsupervised Single-view 3D Reconstruction","created":"2022-07-20","cited_by_count":11,"area":null}],"next_cursor":"100"}