{"id":215125,"date":"2015-01-01T00:00:00","date_gmt":"2015-01-01T00:00:00","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/msr-research-item\/truthful-mechanisms-for-agents-that-value-privacy-2\/"},"modified":"2018-10-16T21:39:58","modified_gmt":"2018-10-17T04:39:58","slug":"truthful-mechanisms-for-agents-that-value-privacy-2","status":"publish","type":"msr-research-item","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/publication\/truthful-mechanisms-for-agents-that-value-privacy-2\/","title":{"rendered":"Truthful Mechanisms for Agents That Value Privacy"},"content":{"rendered":"<p>In this paper, we examine the interaction between mechanism design and di erential privacy. In<br \/>\nparticular, we explicitly model privacy in players\u2019 utility functions and design truthful mechanisms<br \/>\nwith respect to it. Our work is motivated by considerations in both fields.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this paper, we examine the interaction between mechanism design and di erential privacy. In particular, we explicitly model privacy in players\u2019 utility functions and design truthful mechanisms with respect to it. 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