Avinash V Varadarajan

Optimal Unbiased Randomizers for Regression with Label Differential Privacy

We propose a new family of label randomizers for training _regression_ models under the constraint of label differential privacy (DP). In particular, we leverage the trade-offs between bias and variance to construct better label randomizers depending on a privately estimated prior distribution over…