Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference

Jasper Tan, Blake Mason, Hamid Javadi +1

A surprising phenomenon in modern machine learning is the ability of a highly overparameterized model to generalize well (small error on the test data) even when it is trained to m…