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arXiv · 1604.05590

Locating a Small Cluster Privately

Kobbi Nissim·Uri Stemmer·Salil Vadhan
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Abstract

We present a new algorithm for locating a small cluster of points with differential privacy [Dwork, McSherry, Nissim, and Smith, 2006]. Our algorithm has implications to private data exploration, clustering, and removal of outliers. Furthermore, we use it to significantly relax the requirements of the sample and aggregate technique [Nissim, Raskhodnikova, and Smith, 2007], which allows compiling of "off the shelf" (non-private) analyses into analyses that preserve differential privacy.

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Kobbi Nissim, Uri Stemmer, Salil Vadhan. 2016-04-19. Locating a Small Cluster Privately. https://doi.org/10.1145/2902251.2902296

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