Usman Hassan

He-Gan: Differentially Private Gan Using Hamiltonian Monte Carlo Based Exponential Mechanism

Differentially-private (DP) Generative Adversarial Networks (GAN) can be used to protect the privacy of training data and support public downstream learning tasks with synthetic data. However, typical DP mechanisms add noise to the training process and can lead to various convergence problems. We pr…