A. Bhattacharjee

Differentially Private Nonparametric Modal Learning with Applications to Regression and Clustering

This work proposes DP-GRAMS, a mean-shift inspired method that performs noisy ascent on a differentially private score estimator that enforces privacy in the gradient ascent steps via gradient clipping and calibrated Gaussian noise, and provides minimax lower bounds for private mode estimation.