{"total":33,"rows":[{"id":"2204.08376","title":"Detecting Deepfakes with Self-Blended Images","created":"2022-04-18","cited_by_count":338,"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":"2411.15633","title":"Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection","created":"2024-11-23","cited_by_count":105,"area":null},{"id":"2402.17229","title":"Preserving Fairness Generalization in Deepfake Detection","created":"2024-02-27","cited_by_count":70,"area":null},{"id":"2306.16635","title":"Improving Fairness in Deepfake Detection","created":"2023-06-29","cited_by_count":40,"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":"2406.00783","title":"AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark","created":"2024-06-02","cited_by_count":28,"area":null},{"id":"2203.06825","title":"Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing","created":"2022-03-14","cited_by_count":16,"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":"2404.10989","title":"FairSSD: Understanding Bias in Synthetic Speech Detectors","created":"2024-04-17","cited_by_count":9,"area":null},{"id":"2402.01721","title":"Non-Consensual Synthetic Intimate Imagery: Prevalence, Attitudes, and Knowledge in 10 Countries","created":"2024-01-26","cited_by_count":8,"area":null},{"id":"2407.14367","title":"Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations","created":"2024-07-19","cited_by_count":8,"area":null},{"id":"2507.02645","title":"Fair Deepfake Detectors Can Generalize","created":"2025-07-03","cited_by_count":7,"area":null},{"id":"2508.07944","title":"SCDF: A Speaker Characteristics DeepFake Speech Dataset for Bias Analysis","created":"2025-08-11","cited_by_count":6,"area":null},{"id":"2309.11155","title":"ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and Refinement","created":"2023-09-20","cited_by_count":5,"area":null},{"id":"2412.16428","title":"Data-Driven Fairness Generalization for Deepfake Detection","created":"2024-12-21","cited_by_count":5,"area":null},{"id":"2411.05335","title":"A Quality-Centric Framework for Generic Deepfake Detection","created":"2024-11-08","cited_by_count":4,"area":null},{"id":"2603.09007","title":"Gender Fairness in Audio Deepfake Detection: Performance and Disparity Analysis","created":"2026-03-09","cited_by_count":3,"area":null},{"id":"2204.08612","title":"Metamorphic Testing-based Adversarial Attack to Fool Deepfake Detectors","created":"2022-04-19","cited_by_count":2,"area":null},{"id":"2405.15173","title":"Redundant Semantic Environment Filling via Misleading-Learning for Fair Deepfake Detection","created":"2024-05-24","cited_by_count":2,"area":null},{"id":"2511.10150","title":"Decoupling Bias, Aligning Distributions: Synergistic Fairness Optimization for Deepfake Detection","created":"2025-11-13","cited_by_count":2,"area":null},{"id":"2507.08912","title":"Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising","created":"2025-07-11","cited_by_count":1,"area":null},{"id":"2510.17264","title":"Fair and Interpretable Deepfake Detection in Videos","created":"2025-10-20","cited_by_count":1,"area":null},{"id":"2308.05563","title":"Recent Advancements In The Field Of Deepfake Detection","created":"2023-08-10","cited_by_count":0,"area":null},{"id":"2310.12076","title":"Towards Exploring Fairness in Visual Transformer based Natural and GAN Image Detection Systems","created":"2023-10-18","cited_by_count":0,"area":null},{"id":"2507.19705","title":"Bias Analysis for Synthetic Face Detection: A Case Study of the Impact of Facial Attributes","created":"2025-07-25","cited_by_count":0,"area":null},{"id":"2509.07993","title":"Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization","created":"2025-08-29","cited_by_count":0,"area":null},{"id":"2606.09881","title":"Toward Calibrated, Fair, and accurate Deepfake Detection","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2606.20302","title":"CUPID: Reconstructing UV Texture Maps for Interpretable Person-of-Interest Deepfake Detection","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2607.09891","title":"What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection","created":"2026-07-10","cited_by_count":0,"area":null},{"id":"2608.28777","title":"FairReL: Deepfake Detection using Fairness-Aware Representation Learning","created":"2026-08-28","cited_by_count":0,"area":null}],"next_cursor":null}