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Sensitive loss: Improving accuracy and fairness of face representations with discrimination-aware deep learning.

, , , and . Artif. Intell., (2022)

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Facial Expressions as a Vulnerability in Face Recognition., , , , and . CoRR, (2020)Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment., , , , , , , and . CoRR, (2023)OTB-morph: One-Time Biometrics via Morphing applied to Face Templates., , , , and . WACV (Workshops), page 321-329. IEEE, (2022)Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics., , , , , and . CoRR, (2019)OTB-morph: One-Time Biometrics via Morphing., , , , and . CoRR, (2023)Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs., , , , , , , and . ICDAR Workshops (1), volume 14193 of Lecture Notes in Computer Science, page 20-33. Springer, (2023)InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics., , , and . ICPR, page 3720-3727. IEEE, (2020)Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma., , , , and . COMPSAC, page 1167-1172. IEEE, (2023)Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics., , , , , and . SafeAI@AAAI, volume 2560 of CEUR Workshop Proceedings, page 146-152. CEUR-WS.org, (2020)IFBiD: Inference-Free Bias Detection., , , , and . SafeAI@AAAI, volume 3087 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)