2008 | OriginalPaper | Buchkapitel
An Ad Omnia Approach to Defining and Achieving Private Data Analysis
verfasst von : Cynthia Dwork
Erschienen in: Privacy, Security, and Trust in KDD
Verlag: Springer Berlin Heidelberg
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We briefly survey several privacy compromises in published datasets, some historical and some on paper. An inspection of these suggests that the problem lies with the nature of the privacy-motivated promises in question. These are typically syntactic, rather than semantic. They are also
ad hoc
, with insufficient argument that fulfilling these syntactic and
ad hoc
conditions yields anything like what most people would regard as privacy. We examine two comprehensive, or
ad omnia
, guarantees for privacy in statistical databases discussed in the literature, note that one is unachievable, and describe implementations of the other.