Data Management

Exploiting Metric Structure for Efficient Private Query Release

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Executive Summary

The authors consider the problem of privately answering queries defined on databases which are collections of points belonging to some metric space. They give simple, computationally efficient algorithms for answering distance queries defined over an arbitrary metric. Distance queries are specified by points in the metric space, and ask for the average distance from the query point to the points contained in the database, according to the specified metric. Their algorithms run efficiently in the database size and the dimension of the space, and operate in both the online query release setting, and the offline setting in which they must in polynomial time generate a fixed data structure which can answer all queries of interest.

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