Journal article
Private and polynomial time algorithms for learning Gaussians and beyond
Abstract
We present a fairly general framework for reducing $(\varepsilon, \delta)$
differentially private (DP) statistical estimation to its non-private
Authors
Ashtiani H; Liaw C
Journal
, , ,
Publication Date
November 22, 2021
DOI
10.48550/arxiv.2111.11320