An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses

Hao Liang, Wanrong Zhang, Xinlei He +2

Differentially Private Stochastic Gradient Descent (DPSGD) is widely used to protect sensitive data during the training of machine learning models, but its privacy guarantee often…