## CryptoDB

### Paper: Private and Continual Release of Statistics

Authors: T-H. Hubert Chan Elaine Shi Dawn Song URL: http://eprint.iacr.org/2010/076 Search ePrint Search Google 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
}