International Association for Cryptologic Research

International Association
for Cryptologic Research

CryptoDB

Private and Continual Release of Statistics

Authors:
T-H. Hubert Chan
Elaine Shi
Dawn Song
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URL: http://eprint.iacr.org/2010/076
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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.
BibTeX
@misc{eprint-2010-22977,
  title={Private and Continual Release of Statistics},
  booktitle={IACR Eprint archive},
  keywords={differential privacy, continual, streaming algorithm},
  url={http://eprint.iacr.org/2010/076},
  note={ICALP 2010 runting@cs.cmu.edu 14757 received 11 Feb 2010, last revised 28 May 2010},
  author={T-H. Hubert Chan and Elaine Shi and Dawn Song},
  year=2010
}