To be Robust and to be Fair: Aligning Fairness with Robustness

31 March 2023

Papers citing "To be Robust and to be Fair: Aligning Fairness with Robustness"

5 / 5 papers shown

Title
Multigroup Robustness Lunjia Hu Charlotte Peale Judy Hanwen Shen OOD 28 1 0 01 May 2024
Causality-Aided Trade-off Analysis for Machine Learning Fairness Zhenlan Ji Pingchuan Ma Shuai Wang Yanhui Li FaML 29 7 0 22 May 2023
Group-Aware Threshold Adaptation for Fair Classification T. Jang P. Shi Xiaoqian Wang FaML 80 36 0 08 Nov 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 314 4,203 0 23 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 673 0 17 Feb 2018