Nearly Tight Black-Box Auditing of Differentially Private Machine Learning

Neural Information Processing Systems 

This paper presents an auditing procedure for the Differentially Private Stochastic Gradient Descent (DP-SGD) algorithm in the black-box threat model that is substantially tighter than prior work.

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