Differentially Private Generative Adversarial Networks with Model Inversion

Dongjie Chen, Sen-ching Samson Cheung, Chen-Nee Chuah +1

To protect sensitive data in training a Generative Adversarial Network (GAN), the standard approach is to use differentially private (DP) stochastic gradient descent method in whic…