Rethinking the Security of DP-SGD: A Corrected Analysis of Differentially Private Machine Learning

Wenhao Wang, Shujie Cui, Hui Cui +1

Differentially Private Stochastic Gradient Descent (DP-SGD) is widely used to protect training data in machine learning. Its privacy guarantee is commonly analyzed through a securi…