A Theoretical Insight into Attack and Defense of Gradient Leakage in Transformer

Chenyang Li, Zhao Song, Weixin Wang +1

The Deep Leakage from Gradient (DLG) attack has emerged as a prevalent and highly effective method for extracting sensitive training data by inspecting exchanged gradients. This ap…