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          <dc:title>Inferential Privacy Guarantees for Differentially Private Mechanisms</dc:title>
          <dc:creator>Ghosh, Arpita</dc:creator>
          <dc:creator>Kleinberg, Robert</dc:creator>
          <dc:subject>differential privacy</dc:subject>
          <dc:subject>statistical inference</dc:subject>
          <dc:subject>statistical mechanics</dc:subject>
          <dc:description>The following is a summary of the paper "Inferential Privacy Guarantees for Differentially Private Mechanisms", presented at the Eighth Innovations in Theoretical Computer Science Conference in January 2017. The full version of the paper can be found on arXiv at the URL https://arxiv.org/abs/1603.01508.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Arpita Ghosh and Robert Kleinberg</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 67, 8th Innovations in Theoretical Computer Science Conference (ITCS 2017)</dc:relation>
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