{"total":46,"rows":[{"id":"2104.02821","title":"Towards Measuring Fairness in AI: the Casual Conversations Dataset","created":"2021-04-06","cited_by_count":80,"area":null},{"id":"2104.13417","title":"Towards Fair Federated Learning with Zero-Shot Data Augmentation","created":"2021-04-27","cited_by_count":64,"area":null},{"id":"2203.04913","title":"Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers","created":"2022-03-09","cited_by_count":53,"area":null},{"id":"2207.10077","title":"Discover and Mitigate Unknown Biases with Debiasing Alternate Networks","created":"2022-07-20","cited_by_count":47,"area":null},{"id":"2108.03764","title":"PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition","created":"2021-08-09","cited_by_count":38,"area":null},{"id":"2112.14656","title":"Gendered Differences in Face Recognition Accuracy Explained by Hairstyles, Makeup, and Facial Morphology","created":"2021-12-29","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":"2109.03229","title":"Rethinking Common Assumptions to Mitigate Racial Bias in Face Recognition Datasets","created":"2021-09-07","cited_by_count":22,"area":null},{"id":"2112.06522","title":"Anatomizing Bias in Facial Analysis","created":"2021-12-13","cited_by_count":18,"area":null},{"id":"2103.09118","title":"Balancing Biases and Preserving Privacy on Balanced Faces in the Wild","created":"2021-03-16","cited_by_count":17,"area":null},{"id":"2206.04867","title":"The Gender Gap in Face Recognition Accuracy Is a Hairy Problem","created":"2022-06-10","cited_by_count":15,"area":null},{"id":"2209.09035","title":"Fairness in Face Presentation Attack Detection","created":"2022-09-19","cited_by_count":13,"area":null},{"id":"2304.09818","title":"What Should Be Balanced in a \"Balanced\" Face Recognition Dataset?","created":"2023-04-17","cited_by_count":13,"area":null},{"id":"2203.08235","title":"A Deep Dive into Dataset Imbalance and Bias in Face Identification","created":"2022-03-15","cited_by_count":11,"area":null},{"id":"2103.14983","title":"Going Deeper Into Face Detection: A Survey","created":"2021-03-27","cited_by_count":10,"area":null},{"id":"2204.04440","title":"Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks","created":"2022-04-09","cited_by_count":10,"area":null},{"id":"2204.05899","title":"VisCUIT: Visual Auditor for Bias in CNN Image Classifier","created":"2022-04-12","cited_by_count":8,"area":null},{"id":"2502.02309","title":"Review of Demographic Fairness in Face Recognition","created":"2025-02-04","cited_by_count":7,"area":null},{"id":"2208.11099","title":"Explaining Bias in Deep Face Recognition via Image Characteristics","created":"2022-08-23","cited_by_count":6,"area":null},{"id":"2211.05809","title":"Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness","created":"2022-11-10","cited_by_count":5,"area":null},{"id":"2309.04447","title":"Impact of Blur and Resolution on Demographic Disparities in 1-to-Many Facial Identification","created":"2023-09-08","cited_by_count":5,"area":null},{"id":"2104.13803","title":"Does Face Recognition Error Echo Gender Classification Error?","created":"2021-04-28","cited_by_count":4,"area":null},{"id":"2303.04838","title":"The Casual Conversations v2 Dataset","created":"2023-03-08","cited_by_count":4,"area":null},{"id":"2407.14087","title":"Score Normalization for Demographic Fairness in Face Recognition","created":"2024-07-19","cited_by_count":4,"area":null},{"id":"2408.16881","title":"FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Features","created":"2024-08-29","cited_by_count":3,"area":null},{"id":"2409.02867","title":"The Impact of Balancing Real and Synthetic Data on Accuracy and Fairness in Face Recognition","created":"2024-09-04","cited_by_count":3,"area":null},{"id":"2209.15550","title":"The More Secure, The Less Equally Usable: Gender and Ethnicity (Un)fairness of Deep Face Recognition along Security Thresholds","created":"2022-09-30","cited_by_count":2,"area":null},{"id":"2407.10104","title":"A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification","created":"2024-07-14","cited_by_count":2,"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":"2106.08049","title":"Demographic Fairness in Face Identification: The Watchlist Imbalance Effect","created":"2021-06-15","cited_by_count":1,"area":null},{"id":"2211.00129","title":"Is Facial Recognition Biased at Near-Infrared Spectrum As Well?","created":"2022-10-31","cited_by_count":1,"area":null},{"id":"2302.03750","title":"Linking convolutional kernel size to generalization bias in face analysis CNNs","created":"2023-02-07","cited_by_count":1,"area":null},{"id":"2304.07175","title":"Exploring Causes of Demographic Variations In Face Recognition Accuracy","created":"2023-04-14","cited_by_count":1,"area":null},{"id":"2308.11732","title":"(Un)fair Exposure in Deep Face Rankings at a Distance","created":"2023-08-22","cited_by_count":1,"area":null},{"id":"2311.18064","title":"GELDA: A generative language annotation framework to reveal visual biases in datasets","created":"2023-11-29","cited_by_count":1,"area":null},{"id":"2502.14996","title":"A Rapid Test for Accuracy and Bias of Face Recognition Technology","created":"2025-02-20","cited_by_count":1,"area":null},{"id":"2507.17192","title":"Vec2Face+ for Face Dataset Generation","created":"2025-07-23","cited_by_count":1,"area":null},{"id":"2304.11725","title":"Analysis of Recent Trends in Face Recognition Systems","created":"2023-04-23","cited_by_count":0,"area":null},{"id":"2305.11265","title":"Multi-Focus Image Fusion Based on Spatial Frequency(SF) and Consistency Verification(CV) in DCT Domain","created":"2023-05-18","cited_by_count":0,"area":null},{"id":"2405.11240","title":"Testing the Performance of Face Recognition for People with Down Syndrome","created":"2024-05-18","cited_by_count":0,"area":null},{"id":"2510.20482","title":"Reliable and Reproducible Demographic Inference for Fairness in Face Analysis","created":"2025-10-23","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":"2512.11015","title":"Leveraging Text Guidance for Enhancing Demographic Fairness in Gender Classification","created":"2025-12-11","cited_by_count":0,"area":null},{"id":"2604.06961","title":"Auditing Demographic Bias in Facial Landmark Detection for Fair Human-Robot Interaction","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2608.12971","title":"Bias Mitigation in Face Recognition via Demographic-based Supervised Contrastive Learning","created":"2026-08-13","cited_by_count":0,"area":null}],"next_cursor":null}