4.0 Article

Private and Continual Release of Statistics

Journal

Publisher

ASSOC COMPUTING MACHINERY
DOI: 10.1145/2043621.2043626

Keywords

Algorithms; Differential privacy; continual mechanism; streaming algorithm

Funding

  1. National Science Foundation [0716230, 0448452, CCF-0424422]
  2. Office of Naval Research under MURI [N000140911081]
  3. Division Of Computer and Network Systems
  4. Direct For Computer & Info Scie & Enginr [0716230, 0448452] Funding Source: National Science Foundation

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We ask the question: how can Web sites 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 Web sites to continually give top-k and hot items suggestions while preserving users' privacy.

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