Evaluating Proposed Fairness Models for Face Recognition Algorithms

9 March 2022

Papers citing "Evaluating Proposed Fairness Models for Face Recognition Algorithms"

10 / 10 papers shown

Title
Accuracy and Fairness of Facial Recognition Technology in Low-Quality Police Images: An Experiment With Synthetic Faces Maria Cuellar Hon Kiu Arush Mehrotra 86 0 0 20 May 2025
Fairness in Biometrics: a figure of merit to assess biometric verification systems Tiago de Freitas Pereira S´ebastien Marcel 117 65 0 04 Nov 2020
Minimax Pareto Fairness: A Multi Objective Perspective Natalia Martínez Martín Bertrán Guillermo Sapiro FaML 77 193 0 03 Nov 2020
Demographic Bias in Biometrics: A Survey on an Emerging Challenge P. Drozdowski Christian Rathgeb A. Dantcheva N. Damer C. Busch FaML 171 206 0 05 Mar 2020
Accuracy comparison across face recognition algorithms: Where are we on measuring race bias? J. G. Cavazos P. Phillips Carlos D. Castillo Alice J. OrToole CVBM 54 169 0 16 Dec 2019
Measurement and Fairness Abigail Z. Jacobs Hanna M. Wallach 82 395 0 11 Dec 2019
50 Years of Test (Un)fairness: Lessons for Machine Learning Ben Hutchinson Margaret Mitchell AILaw FaML 65 360 0 25 Nov 2018
Fairness in Criminal Justice Risk Assessments: The State of the Art R. Berk Hoda Heidari S. Jabbari Michael Kearns Aaron Roth 56 998 0 27 Mar 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 302 2,121 0 24 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 122 1,775 0 19 Sep 2016