There is an elephant in the room: Towards a critique on the use of
fairness in biometrics

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There is an elephant in the room: Towards a critique on the use of fairness in biometrics

16 December 2021

Júlia Corbera Serrajòrdia

Aneta Swianiewicz

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Papers citing "There is an elephant in the room: Towards a critique on the use of fairness in biometrics"

16 / 16 papers shown

Title
On Demographic Bias in Fingerprint Recognition Akash Godbole Steven A. Grosz Karthik Nandakumar A.K. Jain 72 7 0 19 May 2022
Demystifying the Draft EU Artificial Intelligence Act Michael Veale Frederik J. Zuiderveen Borgesius 68 353 0 08 Jul 2021
A Comprehensive Study on Face Recognition Biases Beyond Demographics Philipp Terhörst Jan Niklas Kolf Marco Huber Florian Kirchbuchner Naser Damer Aythami Morales Julian Fierrez Arjan Kuijper 78 119 0 02 Mar 2021
Data and its (dis)contents: A survey of dataset development and use in machine learning research Amandalynne Paullada Inioluwa Deborah Raji Emily M. Bender Emily L. Denton A. Hanna 119 524 0 09 Dec 2020
Fairness in Biometrics: a figure of merit to assess biometric verification systems Tiago de Freitas Pereira S´ebastien Marcel 100 65 0 04 Nov 2020
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics Ignacio Serna Alejandro Peña Aythami Morales Julian Fierrez CVBM 86 62 0 14 Apr 2020
Demographic Bias: A Challenge for Fingervein Recognition Systems? P. Drozdowski B. Prommegger Georg Wimmer R. Schraml Christian Rathgeb A. Uhl C. Busch 68 10 0 03 Apr 2020
Demographic Bias in Presentation Attack Detection of Iris Recognition Systems Meiling Fang Naser Damer Florian Kirchbuchner Arjan Kuijper CVBM 49 36 0 06 Mar 2020
Demographic Bias in Biometrics: A Survey on an Emerging Challenge P. Drozdowski Christian Rathgeb A. Dantcheva N. Damer C. Busch FaML 168 206 0 05 Mar 2020
Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics Ignacio Serna Aythami Morales Julian Fierrez Manuel Cebrian Nick Obradovich Iyad Rahwan FaML OOD CVBM 43 42 0 04 Dec 2019
Inherent Tradeoffs in Learning Fair Representations Han Zhao Geoffrey J. Gordon FaML 55 215 0 19 Jun 2019
Some Research Problems in Biometrics: The Future Beckons Arun Ross Sudipta Banerjee Cunjian Chen Anurag Chowdhury Vahid Mirjalili Renu Sharma Thomas Swearingen Shivangi Yadav 68 50 0 12 May 2019
50 Years of Test (Un)fairness: Lessons for Machine Learning Ben Hutchinson Margaret Mitchell AILaw FaML 62 359 0 25 Nov 2018
A comparative study of fairness-enhancing interventions in machine learning Sorelle A. Friedler C. Scheidegger Suresh Venkatasubramanian Sonam Choudhary Evan P. Hamilton Derek Roth FaML 105 642 0 13 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 300 2,114 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 228 4,312 0 07 Oct 2016

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