Dr. Tianhao Wang | University of Virginia

Abstract: I will present our (ongoing) recent work on differentially private machine learning (DP-ML). First, I will present simple yet effective strategies to improve the performance of DP-stochastic gradient descent (DP-SGD), the widely adopted method for DP-ML. Then I will discuss ways to defend against Byzantine attacks in DP-SGD. Finally, I will talk about recent advances in synthetic data generation, which is another popular approach to DP-ML.