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To be considered for an 2015 IEEE Jack Keil Wolf ISIT Student Paper Award." We investigate the problem of intentionally disclosing information about a set of measurement points X (useful information), while guaranteeing that little or no information is revealed about a private variable S (private information). Given that S and X are drawn from a finite set with joint distribution pS,X , we prove that a non-trivial amount of useful information can be disclosed while not disclosing any privatedoi:10.1109/isit.2015.7282765 dblp:conf/isit/CalmonMM15 fatcat:oairls5kbfduhkddx4romphpfy