{"total":34,"rows":[{"id":"2207.10077","title":"Discover and Mitigate Unknown Biases with Debiasing Alternate Networks","created":"2022-07-20","cited_by_count":47,"area":null},{"id":"2303.08325","title":"FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification","created":"2023-03-15","cited_by_count":19,"area":null},{"id":"2307.10011","title":"Towards Fair Face Verification: An In-depth Analysis of Demographic Biases","created":"2023-07-19","cited_by_count":14,"area":null},{"id":"2408.02464","title":"Fairness and Bias Mitigation in Computer Vision: A Survey","created":"2024-08-05","cited_by_count":13,"area":null},{"id":"2210.13664","title":"Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model","created":"2022-10-24","cited_by_count":12,"area":null},{"id":"2305.00817","title":"Racial Bias within Face Recognition: A Survey","created":"2023-05-01","cited_by_count":9,"area":null},{"id":"2211.15181","title":"MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition","created":"2022-11-28","cited_by_count":8,"area":null},{"id":"2304.02284","title":"Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention","created":"2023-04-05","cited_by_count":7,"area":null},{"id":"2502.02309","title":"Review of Demographic Fairness in Face Recognition","created":"2025-02-04","cited_by_count":7,"area":null},{"id":"2409.03303","title":"Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization","created":"2024-09-05","cited_by_count":6,"area":null},{"id":"2305.07710","title":"Zero-shot racially balanced dataset generation using an existing biased StyleGAN2","created":"2023-05-12","cited_by_count":5,"area":null},{"id":"2207.05727","title":"Enhancing Fairness of Visual Attribute Predictors","created":"2022-07-07","cited_by_count":3,"area":null},{"id":"2211.07245","title":"Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition","created":"2022-11-14","cited_by_count":3,"area":null},{"id":"2407.13922","title":"CounterFace: A Synthetic Face Dataset for Fine-Grained Counterfactual Evaluation of Face Recognition Systems","created":"2024-07-18","cited_by_count":2,"area":null},{"id":"2501.12020","title":"On the Illusion of Gender Bias in Face Recognition: Explaining the Fairness Issue Through Non-demographic Attributes","created":"2025-01-21","cited_by_count":2,"area":null},{"id":"2503.06451","title":"A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification","created":"2025-03-09","cited_by_count":2,"area":null},{"id":"2210.04369","title":"A Differentiable Distance Approximation for Fairer Image Classification","created":"2022-10-09","cited_by_count":1,"area":null},{"id":"2212.13038","title":"A Survey of Face Recognition","created":"2022-12-26","cited_by_count":1,"area":null},{"id":"2302.07917","title":"Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility","created":"2023-02-15","cited_by_count":1,"area":null},{"id":"2309.05180","title":"What's color got to do with it? Face recognition in grayscale","created":"2023-09-11","cited_by_count":1,"area":null},{"id":"2605.10404","title":"Position: Life-Logging Video Streams Make the Privacy-Utility Trade-off Inevitable","created":"2026-05-11","cited_by_count":1,"area":null},{"id":"2301.05012","title":"Fairly Private: Investigating The Fairness of Visual Privacy Preservation Algorithms","created":"2023-01-12","cited_by_count":0,"area":null},{"id":"2302.11414","title":"Delving into Identify-Emphasize Paradigm for Combating Unknown Bias","created":"2023-02-22","cited_by_count":0,"area":null},{"id":"2303.14411","title":"Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics","created":"2023-03-25","cited_by_count":0,"area":null},{"id":"2502.04391","title":"Towards Fair and Robust Face Parsing for Generative AI: A Multi-Objective Approach","created":"2025-02-06","cited_by_count":0,"area":null},{"id":"2502.11031","title":"A Critical Review of Predominant Bias in Neural Networks","created":"2025-02-16","cited_by_count":0,"area":null},{"id":"2504.19370","title":"Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization","created":"2025-04-27","cited_by_count":0,"area":null},{"id":"2509.03616","title":"Multi Attribute Bias Mitigation via Representation Learning","created":"2025-09-03","cited_by_count":0,"area":null},{"id":"2512.08981","title":"Mitigating Bias with Words: Inducing Demographic Ambiguity in Face Recognition Templates by Text Encoding","created":"2025-12-05","cited_by_count":0,"area":null},{"id":"2604.11250","title":"Variational Latent Entropy Estimation Disentanglement: Controlled Attribute Leakage for Face Recognition","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2604.27218","title":"AttriBE: Quantifying Attribute Expressivity in Body Embeddings for Recognition and Identification","created":"2026-04-29","cited_by_count":0,"area":null},{"id":"2606.04469","title":"Adaptive Calibration for Fair and Performant Facial Recognition","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2609.16149","title":"DenseFace: Bias Mitigation in Face Recognition via Density-Aware Probabilistic Matching","created":"2026-09-14","cited_by_count":0,"area":null},{"id":"2609.18673","title":"Beyond EER: Multi-Dimensional Evaluation of Information Leakage in Speaker De-Identification","created":"2026-09-16","cited_by_count":0,"area":null}],"next_cursor":null}