@inproceedings{da057e69c7354301bb8b1a78e9aba4dd,
title = "Geometry of privacy and utility",
abstract = "One of the important challenges in statistical privacy is the design of algorithms that maximize a utility measure subject to restrictions imposed by privacy considerations. In this paper we examine large classes of privacy definitions and utility measures. We identify their geometric characteristics and some common properties of optimal privacy-preserving algorithms.",
author = "Lin, {Bing Rong} and Daniel Kifer",
year = "2013",
doi = "10.1109/GlobalSIP.2013.6736870",
language = "English (US)",
isbn = "9781479902484",
series = "2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings",
pages = "281--284",
booktitle = "2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings",
note = "2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 ; Conference date: 03-12-2013 Through 05-12-2013",
}