Yuancheng Yu

Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training

Training generative models with differential privacy (DP) typically involves injecting noise into gradient updates or adapting the discriminator's training procedure. As a result, such approaches often struggle with hyper-parameter tuning and convergence. We consider the \emph{slicing privacy mech…