Privacy-MaxEnt: integrating background knowledge in privacy quantification

  title={Privacy-MaxEnt: integrating background knowledge in privacy quantification},
  author={Wenliang Du and Zhouxuan Teng and Zutao Zhu},
  booktitle={SIGMOD Conference},
Privacy-Preserving Data Publishing (PPDP) deals with the publication of microdata while preserving people' private information in the data. To measure how much private information can be preserved, privacy metrics is needed. An essential element for privacy metrics is the measure of how much adversaries can know about an individual's sensitive attributes (SA) if they know the individual's quasi-identifiers (QI), i.e., we need to measure P(SA|QI). Such a measure is hard to derive when… CONTINUE READING
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