Antipodes of Label Differential Privacy: PATE and ALIBI

Mani Malek, Ilya Mironov, Karthik Prasad +2

We consider the privacy-preserving machine learning (ML) setting where the trained model must satisfy differential privacy (DP) with respect to the labels of the training examples.…