A Primer on Private Statistics

Authors :: Kamath, Gautam
Ullman, Jonathan
Publication Year :: 2020
Abstract: Differentially private statistical estimation has seen a flurry of developments over the last several years. Study has been divided into two schools of thought, focusing on empirical statistics versus population statistics. We suggest that these two lines of work are more similar than different by giving examples of methods that were initially framed for empirical statistics, but can be applied just as well to population statistics. We also provide a thorough coverage of recent work in this area.<br />Comment: 20 pages. Comments welcome

Subjects :: Statistics - Machine Learning
Computer Science - Cryptography and Security
Computer Science - Data Structures and Algorithms
Computer Science - Information Theory
Computer Science - Machine Learning

Tools