Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability

21 Nov 2019Stacey TruexLing LiuMehmet Emre GursoyWenqi WeiLei Yu

Membership inference attacks seek to infer the membership of individual training instances of a privately trained model. This paper presents a membership privacy analysis and evaluation system, called MPLens, with three unique contributions... (read more)

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