Private and Continual Release of Statistics

T-H. Hubert Chan, Elaine Shi, and Dawn Song

Abstract

We ask the question – how can websites and data aggregators continually release updated statistics, and meanwhile preserve each individual user’s privacy? Suppose we are given a stream of 0’s and 1’s. We propose a differentially private continual counter that outputs at every time step the approximate number of 1’s seen thus far. Our counter construction has error that is only poly-log in the number of time steps. We can extend the basic counter construction to allow websites to continually give top-k and hot items suggestions while preserving users’ privacy.

Note: Minor edits.

Available format(s)
Publication info
Published elsewhere. ICALP 2010, full version to appear in TISSEC
Keywords
differential privacycontinual
Contact author(s)
runting @ cs cmu edu
History
2011-12-14: last of 5 revisions
See all versions
Short URL
https://ia.cr/2010/076

CC BY

BibTeX

@misc{cryptoeprint:2010/076,
author = {T-H.  Hubert Chan and Elaine Shi and Dawn Song},
title = {Private and Continual Release of Statistics},
howpublished = {Cryptology ePrint Archive, Paper 2010/076},
year = {2010},
note = {\url{https://eprint.iacr.org/2010/076}},
url = {https://eprint.iacr.org/2010/076}
}

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