Preserving Privacy in GANs Against Membership Inference Attack

Mohammadhadi Shateri, Francisco Messina, Fabrice Labeau +1

Generative Adversarial Networks (GANs) have been widely used for generating synthetic data for cases where there is a limited size real-world dataset or when data holders are unwil…