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A simple and practical algorithm for differentially private data release

Hardt, Moritz and Ligett, Katrina and McSherry, Frank (2010) A simple and practical algorithm for differentially private data release. . (Unpublished) http://resolver.caltech.edu/CaltechAUTHORS:20190628-094218811

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Abstract

We present new theoretical results on differentially private data release useful with respect to any target class of counting queries, coupled with experimental results on a variety of real world data sets. Specifically, we study a simple combination of the multiplicative weights approach of [Hardt and Rothblum, 2010] with the exponential mechanism of [McSherry and Talwar, 2007]. The multiplicative weights framework allows us to maintain and improve a distribution approximating a given data set with respect to a set of counting queries. We use the exponential mechanism to select those queries most incorrectly tracked by the current distribution. Combing the two, we quickly approach a distribution that agrees with the data set on the given set of queries up to small error. The resulting algorithm and its analysis is simple, but nevertheless improves upon previous work in terms of both error and running time. We also empirically demonstrate the practicality of our approach on several data sets commonly used in the statistical community for contingency table release.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
http://arxiv.org/abs/1012.4763arXivDiscussion Paper
ORCID:
AuthorORCID
Ligett, Katrina0000-0003-2780-6656
Record Number:CaltechAUTHORS:20190628-094218811
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20190628-094218811
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:96815
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:28 Jun 2019 16:58
Last Modified:28 Jun 2019 16:58

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