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

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

24 January 2020
Bo Zhang
Ruotong Yu
Haipei Sun
Yanying Li
Jun Xu
Wendy Hui Wang
    AAML
ArXivPDFHTML

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

2 / 2 papers shown
Title
Membership Inference Attacks on Machine Learning: A Survey
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
30
412
0
14 Mar 2021
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,082
0
24 Oct 2016
1