2 papers
cs.DS2022
Privately Estimating a Gaussian: Efficient, Robust and Optimal
Daniel Alabi, Pravesh K. Kothari, Pranay Tankala +2
In this work, we give efficient algorithms for privately estimating a Gaussian distribution in both pure and approximate differential privacy (DP) models with optimal dependence on…
cs.LG2011
Differentially Private Online Learning
Prateek Jain, Pravesh Kothari, Abhradeep Thakurta
In this paper, we consider the problem of preserving privacy in the online learning setting. We study the problem in the online convex programming (OCP) framework---a popular onlin…