Defending Membership Inference Attacks via Privacy-aware Sparsity Tuning

Hengxiang Zhang, Qiang Hu, Hongxin Wei

Over-parameterized models are typically vulnerable to membership inference attacks, which aim to determine whether a specific sample is included in the training of a given model. P…