On the Alignment of Group Fairness with Attribute Privacy

18 November 2022

Papers citing "On the Alignment of Group Fairness with Attribute Privacy"

6 / 6 papers shown

Title
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond Qiongxiu Li Xiaoyu Luo Yiyi Chen Johannes Bjerva 43 0 0 10 Mar 2025
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers Huan Tian Guangsheng Zhang Bo Liu Tianqing Zhu Ming Ding Wanlei Zhou 48 0 0 08 Mar 2025
Understanding Why Generalized Reweighting Does Not Improve Over ERM Runtian Zhai Chen Dan Zico Kolter Pradeep Ravikumar OOD 39 27 0 28 Jan 2022
Does deep learning model calibration improve performance in class-imbalanced medical image classification? S. Rajaraman Prasanth Ganesan Sameer Kiran Antani 66 39 0 29 Sep 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,187 0 23 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 213 669 0 17 Feb 2018