By David Mamet; Shawn Ryan; Steven DePaul; Jean de Segonzac; Karen Gaviola; All authors

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What happens if Eve has a set of records R? There is no simple answer in this case, but we take a “conservative” approach and define leakage as the worst leakage that may occur when Eve looks at any one of her R records. That is, L0 (R, e) = maxr∈R L(r, e). Note that we are overloading the symbol L: if the first parameter is a set, it refers to set leakage; if the first parameter is a single record, then it is record leakage. We use the “0” superscript to distinguish this basic set leakage from leakage after the adversary analyzes and possibly combines records (next subsection).

6]. The F measure was introduced by van Rijsbergen [16]. Information leakage adopts these measures in a privacy setting. In addition, our measure reflects the adversary confidence and data analysis. Compared to probabilistic information retrieval [10] where documents are probabilistically ranked, our work probabilistically computes the information leakage itself using possible worlds semantics. 8 Conclusion We have proposed a framework using information leakage as a measure for data privacy. , buying a product from a vendor online).

Adversary Confidence As mentioned earlier, the confidence that adversary Eve has on her data plays a role in computing leakage. For example, Eve may have gotten some information of r from an unreliable website. Or Eve may have heard rumors of the subject indirectly from someone else. If Eve is not so confident about r, then even if r has a high accuracy against e, the information leakage should be less than when Eve is more confident. E. Whang and H. Garcia-Molina not accurate, then the information leakage should be considered less than when Eve is not so confident about the inaccurate information.

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The Unit. / Season 2 by David Mamet; Shawn Ryan; Steven DePaul; Jean de Segonzac; Karen Gaviola; All authors


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