Tathagata Banerjee

Decoupling Regularization and Privacy in Differentially Private Ridge Regression and ERM

We study ridge regression and ridge-regularized empirical risk minimization (ERM) under $(\varepsilon,\delta)$-differential privacy via output perturbation. In classical private ERM, the ridge parameter simultaneously controls statistical regularization and the estimator’s global sensitivity. Larger…