Statistical Estimation with Differential Privacy

Speaker: Gautam Kamath

Date: Thu, Aug 25, 2022

Location: PIMS, University of Victoria

Conference: Mathematics of Ethical Decision-making Systems

Subject: Mathematics

Class: Scientific


Naively implemented, statistical procedures are prone to leaking information about their training data, which can be problematic if the data is sensitive. Differential privacy, a rigorous notion of data privacy, offers a principled framework to dealing with these issues. I will survey recent results in differential private statistical estimation, presenting a few vignettes which highlight novel challenges for even the most fundamental problems, and suggesting solutions to address them. Along the way, I’ll mention connections to tools and techniques in a number of fields, including information theory and robust statistics.