Efficient Public Verification of Private ML via Regularization

Zoë Ruha Bell, Anvith Thudi, Olive Franzese-McLaughlin +2

Training with differential privacy (DP) guarantees dataset members that they cannot be identified by users of the released model. However, those data providers, and, in general, th…