most citedFundamental Limits of Membership Inference Attacks on Machine Learning Models

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cs.LG2023

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…