DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning

Yixuan Liu, Li Xiong, Yuhan Liu +3

Differentially Private Stochastic Gradients Descent (DP-SGD) is a prominent paradigm for preserving privacy in deep learning. It ensures privacy by perturbing gradients with random…