{"id":165279,"date":"2013-01-01T00:00:00","date_gmt":"2013-01-01T00:00:00","guid":{"rendered":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/msr-research-item\/truthful-mechanisms-for-agents-that-value-privacy\/"},"modified":"2018-10-16T21:55:56","modified_gmt":"2018-10-17T04:55:56","slug":"truthful-mechanisms-for-agents-that-value-privacy","status":"publish","type":"msr-research-item","link":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/publication\/truthful-mechanisms-for-agents-that-value-privacy\/","title":{"rendered":"Truthful Mechanisms for Agents That Value Privacy"},"content":{"rendered":"<p>Recent work has constructed economic mechanisms that are both truthful and dierentially private. In these mechanisms,<br \/>\nprivacy is treated separately from the truthfulness; it is not incorporated in players\u2019 utility functions (and doing so has been<br \/>\nshown to lead to non-truthfulness in some cases). In this work, we propose a new, general way of modelling privacy in<br \/>\nplayers\u2019 utility functions. Specifically, we only assume that if an outcome o has the property that any report of player i would<br \/>\nhave led to o with approximately the same probability, then o has small privacy cost to player i. We give three mechanisms<br \/>\nthat are truthful with respect to our modelling of privacy: for an election between two candidates, for a discrete version of<br \/>\nthe facility location problem, and for a general social choice problem with discrete utilities (via a VCG-like mechanism). As<br \/>\nthe number n of players increases, the social welfare achieved by our mechanisms approaches optimal (as a fraction of n).<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Recent work has constructed economic mechanisms that are both truthful and dierentially private. In these mechanisms, privacy is treated separately from the truthfulness; it is not incorporated in players\u2019 utility functions (and doing so has been shown to lead to non-truthfulness in some cases). In this work, we propose a new, general way of modelling [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"14th ACM Conference on Electronic Commerce (EC)","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"14th ACM Conference on Electronic Commerce (EC)","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Yiling Chen, Stephen Chong, Tal Moran, Salil 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