Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack

24 January 2020

Papers citing "Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack"

3 / 3 papers shown

Title
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 35 412 0 14 Mar 2021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,091 0 24 Oct 2016