Locating a Small Cluster Privately

    PODS, 2016.

    Cited by: 16|Bibtex|Views13|Links
    EI

    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 [Nissi...More

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