{"total":233,"rows":[{"id":"2111.11426","title":"Neural Fields in Visual Computing and Beyond","created":"2021-11-22","cited_by_count":540,"area":null},{"id":"2108.05080","title":"FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset","created":"2021-08-11","cited_by_count":181,"area":null},{"id":"2307.01426","title":"DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection","created":"2023-07-04","cited_by_count":166,"area":null},{"id":"2103.10596","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":"2108.00401","title":"Advances in adversarial attacks and defenses in computer vision: A survey","created":"2021-08-01","cited_by_count":127,"area":null},{"id":"2310.07204","title":"State of the Art on Diffusion Models for Visual Computing","created":"2023-10-11","cited_by_count":127,"area":"diffusion"},{"id":"2103.09396","title":"Pros and Cons of GAN Evaluation Measures: New Developments","created":"2021-03-17","cited_by_count":123,"area":null},{"id":"2201.07786","title":"Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation","created":"2022-01-19","cited_by_count":119,"area":null},{"id":"2104.06609","title":"Representative Forgery Mining for Fake Face Detection","created":"2021-04-14","cited_by_count":108,"area":null},{"id":"2402.19091","title":"Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection","created":"2024-02-29","cited_by_count":89,"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":"2107.02612","title":"Combining EfficientNet and Vision Transformers for Video Deepfake Detection","created":"2021-07-06","cited_by_count":82,"area":null},{"id":"2103.10094","title":"KoDF: A Large-scale Korean DeepFake Detection Dataset","created":"2021-03-18","cited_by_count":80,"area":null},{"id":"2102.11126","title":"Deepfake Video Detection Using Convolutional Vision Transformer","created":"2021-02-22","cited_by_count":79,"area":null},{"id":"2202.03347","title":"FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbations","created":"2022-02-07","cited_by_count":75,"area":null},{"id":"2403.03170","title":"SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection","created":"2024-03-05","cited_by_count":74,"area":"mllm"},{"id":"2106.14948","title":"Deep Learning for Face Anti-Spoofing: A Survey","created":"2021-06-28","cited_by_count":65,"area":null},{"id":"2402.00126","title":"Common Sense Reasoning for Deepfake Detection","created":"2024-01-31","cited_by_count":65,"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":"2105.06496","title":"Deepfake Detection by Human Crowds, Machines, and Machine-informed Crowds","created":"2021-05-13","cited_by_count":58,"area":null},{"id":"2211.06627","title":"MARLIN: Masked Autoencoder for facial video Representation LearnINg","created":"2022-11-12","cited_by_count":57,"area":null},{"id":"2103.00218","title":"Countering Malicious DeepFakes: Survey, Battleground, and Horizon","created":"2021-02-27","cited_by_count":56,"area":null},{"id":"2105.10872","title":"CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes","created":"2021-05-23","cited_by_count":56,"area":"safety"},{"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":"2307.16545","title":"Towards General Visual-Linguistic Face Forgery Detection","created":"2023-07-31","cited_by_count":45,"area":null},{"id":"2304.01436","title":"Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos","created":"2023-04-04","cited_by_count":44,"area":null},{"id":"2204.03083","title":"Audio-Visual Person-of-Interest DeepFake Detection","created":"2022-04-06","cited_by_count":43,"area":null},{"id":"2101.09781","title":"Fighting deepfakes by detecting GAN DCT anomalies","created":"2021-01-24","cited_by_count":39,"area":null},{"id":"2305.01021","title":"Synthetic Data for Face Recognition: Current State and Future Prospects","created":"2023-05-01","cited_by_count":38,"area":null},{"id":"2201.04873","title":"VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting","created":"2022-01-13","cited_by_count":37,"area":null},{"id":"2203.06481","title":"GATSBI: Generative Adversarial Training for Simulation-Based Inference","created":"2022-03-12","cited_by_count":36,"area":null},{"id":"2105.00558","title":"An Examination of Fairness of AI Models for Deepfake Detection","created":"2021-05-02","cited_by_count":35,"area":null},{"id":"2204.04285","title":"On Improving Cross-dataset Generalization of Deepfake Detectors","created":"2022-04-08","cited_by_count":34,"area":null},{"id":"2104.14557","title":"Learned Spatial Representations for Few-shot Talking-Head Synthesis","created":"2021-04-29","cited_by_count":32,"area":null},{"id":"2109.02993","title":"Evaluation of an Audio-Video Multimodal Deepfake Dataset using Unimodal and Multimodal Detectors","created":"2021-09-07","cited_by_count":32,"area":null},{"id":"2207.10246","title":"GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake Detection","created":"2022-07-21","cited_by_count":32,"area":null},{"id":"2103.06929","title":"DefakeHop: A Light-Weight High-Performance Deepfake Detector","created":"2021-03-11","cited_by_count":31,"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":"2407.14962","title":"Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives","created":"2024-07-20","cited_by_count":30,"area":null},{"id":"2410.04372","title":"DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion","created":"2024-10-06","cited_by_count":29,"area":"diffusion"},{"id":"2112.00585","title":"Neural Emotion Director: Speech-preserving semantic control of facial expressions in \"in-the-wild\" videos","created":"2021-12-01","cited_by_count":28,"area":null},{"id":"2208.09191","title":"Synthetic Data in Human Analysis: A Survey","created":"2022-08-19","cited_by_count":28,"area":null},{"id":"2301.04474","title":"Speech Driven Video Editing via an Audio-Conditioned Diffusion Model","created":"2023-01-10","cited_by_count":28,"area":"diffusion"},{"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":"2101.03272","title":"Exploring Adversarial Fake Images on Face Manifold","created":"2021-01-09","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":"2309.01246","title":"Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning","created":"2023-09-03","cited_by_count":23,"area":null},{"id":"2103.11135","title":"High Resolution Face Editing with Masked GAN Latent Code Optimization","created":"2021-03-20","cited_by_count":21,"area":null},{"id":"2106.05566","title":"A Neural Tangent Kernel Perspective of GANs","created":"2021-06-10","cited_by_count":21,"area":null},{"id":"2311.10476","title":"FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data","created":"2023-11-17","cited_by_count":21,"area":null},{"id":"2104.01753","title":"Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation with Manipulable Semantics","created":"2021-04-05","cited_by_count":20,"area":null},{"id":"2409.09586","title":"ValueCompass: A Framework for Measuring Contextual Value Alignment Between Human and LLMs","created":"2024-09-15","cited_by_count":20,"area":"alignment"},{"id":"2209.05299","title":"Deep Convolutional Pooling Transformer for Deepfake Detection","created":"2022-09-12","cited_by_count":19,"area":null},{"id":"2101.10808","title":"Fast Facial Landmark Detection and Applications: A Survey","created":"2021-01-12","cited_by_count":18,"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":"2108.07920","title":"Adversarial Relighting Against Face Recognition","created":"2021-08-18","cited_by_count":16,"area":null},{"id":"2109.02081","title":"Deep Person Generation: A Survey from the Perspective of Face, Pose and Cloth Synthesis","created":"2021-09-05","cited_by_count":16,"area":null},{"id":"2203.11433","title":"Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack","created":"2022-03-22","cited_by_count":16,"area":null},{"id":"2210.12683","title":"GAN-based Facial Attribute Manipulation","created":"2022-10-23","cited_by_count":16,"area":null},{"id":"2203.13883","title":"Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities","created":"2022-03-25","cited_by_count":15,"area":null},{"id":"2405.00355","title":"Exploring Self-Supervised Vision Transformers for Deepfake Detection: A Comparative Analysis","created":"2024-05-01","cited_by_count":15,"area":null},{"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":"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":"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":"2110.01640","title":"An Experimental Evaluation on Deepfake Detection using Deep Face Recognition","created":"2021-10-04","cited_by_count":12,"area":null},{"id":"2110.03464","title":"Differential Anomaly Detection for Facial Images","created":"2021-10-07","cited_by_count":11,"area":null},{"id":"2111.11794","title":"Introduction to Presentation Attack Detection in Face Biometrics and Recent Advances","created":"2021-11-23","cited_by_count":11,"area":null},{"id":"2207.09394","title":"Mimetic Models: Ethical Implications of AI that Acts Like You","created":"2022-07-19","cited_by_count":11,"area":null},{"id":"2506.14742","title":"SyncTalk++: High-Fidelity and Efficient Synchronized Talking Heads Synthesis Using Gaussian Splatting","created":"2025-06-17","cited_by_count":9,"area":null},{"id":"2601.06162","title":"Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models","created":"2026-01-06","cited_by_count":9,"area":"diffusion"},{"id":"2103.01721","title":"On the Generalisation Capabilities of Fisher Vector based Face Presentation Attack Detection","created":"2021-03-02","cited_by_count":8,"area":null},{"id":"2311.14218","title":"A New Benchmark and Model for Challenging Image Manipulation Detection","created":"2023-11-23","cited_by_count":8,"area":null},{"id":"2109.03398","title":"Master Face Attacks on Face Recognition Systems","created":"2021-09-08","cited_by_count":7,"area":null},{"id":"2208.00788","title":"A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features","created":"2022-07-28","cited_by_count":7,"area":null},{"id":"2404.08814","title":"E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data","created":"2024-04-12","cited_by_count":7,"area":null},{"id":"2507.01428","title":"DiffMark: Diffusion-based Robust Watermark Against Deepfakes","created":"2025-07-02","cited_by_count":7,"area":"diffusion"},{"id":"2602.14679","title":"Universal Image Immunization against Diffusion-based Image Editing via Semantic Injection","created":"2026-02-16","cited_by_count":7,"area":"diffusion"},{"id":"2110.04760","title":"Unsupervised High-Fidelity Facial Texture Generation and Reconstruction","created":"2021-10-10","cited_by_count":6,"area":null},{"id":"2111.14203","title":"How Deep Are the Fakes? Focusing on Audio Deepfake: A Survey","created":"2021-11-28","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":"2305.03433","title":"Towards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and Prospects","created":"2023-05-05","cited_by_count":6,"area":"distill"},{"id":"2405.11491","title":"BOSC: A Backdoor-based Framework for Open Set Synthetic Image Attribution","created":"2024-05-19","cited_by_count":6,"area":null},{"id":"2408.01532","title":"Contextual Cross-Modal Attention for Audio-Visual Deepfake Detection and Localization","created":"2024-08-02","cited_by_count":6,"area":null},{"id":"2410.01906","title":"Social Media Authentication and Combating Deepfakes using Semi-fragile Invisible Image Watermarking","created":"2024-10-02","cited_by_count":6,"area":"safety"},{"id":"2210.14145","title":"GlassesGAN: Eyewear Personalization using Synthetic Appearance Discovery and Targeted Subspace Modeling","created":"2022-10-24","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":"2404.15601","title":"Deepfakes and Higher Education: A Research Agenda and Scoping Review of Synthetic Media","created":"2024-04-24","cited_by_count":5,"area":null},{"id":"2504.00458","title":"Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack Detection","created":"2025-04-01","cited_by_count":5,"area":"moe"},{"id":"2106.12605","title":"Deep Fake Detection: Survey of Facial Manipulation Detection Solutions","created":"2021-06-23","cited_by_count":4,"area":null},{"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":"2109.09120","title":"ComicGAN: Text-to-Comic Generative Adversarial Network","created":"2021-09-19","cited_by_count":4,"area":null},{"id":"2203.07300","title":"Mobile Behavioral Biometrics for Passive Authentication","created":"2022-03-14","cited_by_count":4,"area":null},{"id":"2206.11759","title":"What makes you, you? Analyzing Recognition by Swapping Face Parts","created":"2022-06-23","cited_by_count":4,"area":null},{"id":"2210.05478","title":"Aggregating Layers for Deepfake Detection","created":"2022-10-11","cited_by_count":4,"area":null},{"id":"2410.20140","title":"MAD-Sherlock: Multi-Agent Debate for Visual Misinformation Detection","created":"2024-10-26","cited_by_count":4,"area":"agents"}],"next_cursor":"100"}