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Unpublished Paper
An Adaptive Mechanism for Accurate Query Answering under Differential Privacy
  • Chao Li
  • Gerome Miklau, University of Massachusetts - Amherst

We propose a novel mechanism for answering sets of counting queries under differential privacy. Given a workload of counting queries, the mechanism automatically selects a different set of “strategy" queries to answer privately, using those answers to derive answers to the workload. The main algorithm proposed in this paper approximates the optimal strategy for any workload of linear counting queries. With no cost to the privacy guarantee, the mechanism improves significantly on prior approaches and achieves near-optimal error for many workloads, when applied under (ε, δ)-differential privacy. The result is an adaptive mechanism which can help users achieve good utility without requiring that they reason carefully about the best formulation of their task.

Publication Date
February 16, 2012
This is the pre-published version harvested from arXiv.
Citation Information
Chao Li and Gerome Miklau. "An Adaptive Mechanism for Accurate Query Answering under Differential Privacy" (2012)
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