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  • 标题:Inferential Privacy Guarantees for Differentially Private Mechanisms
  • 本地全文:下载
  • 作者:Arpita Ghosh ; Robert Kleinberg
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2017
  • 卷号:67
  • 页码:9:1-9:3
  • DOI:10.4230/LIPIcs.ITCS.2017.9
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要: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.
  • 关键词:differential privacy; statistical inference; statistical mechanics
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