{"id":"https://openalex.org/W2963043413","doi":"https://doi.org/10.1145/3338506.3340273","title":"Contract design for purchasing private data using a biased differentially private algorithm","display_name":"Contract design for purchasing private data using a biased differentially private algorithm","publication_year":2019,"publication_date":"2019-06-28","ids":{"openalex":"https://openalex.org/W2963043413","doi":"https://doi.org/10.1145/3338506.3340273","mag":"2963043413"},"language":"en","primary_location":{"id":"doi:10.1145/3338506.3340273","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3338506.3340273","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3338506.3340273","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Workshop on the Economics of Networks, Systems and Computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3338506.3340273","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078967045","display_name":"Mohammad Mahdi Khalili","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammad Mahdi Khalili","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101877243","display_name":"Xueru Zhang","orcid":"https://orcid.org/0000-0003-0444-6862"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xueru Zhang","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101967011","display_name":"Mingyan Liu","orcid":"https://orcid.org/0000-0003-3295-9200"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingyan Liu","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078967045"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":1.4451,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86747385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.7775576114654541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6796354651451111},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.6445662379264832},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6193997859954834},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.5805345773696899},{"id":"https://openalex.org/keywords/purchasing","display_name":"Purchasing","score":0.5361767411231995},{"id":"https://openalex.org/keywords/negotiation","display_name":"Negotiation","score":0.4671193063259125},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4326951205730438},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42503368854522705},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2527965307235718},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.20800748467445374},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.09399554133415222}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.7775576114654541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6796354651451111},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.6445662379264832},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6193997859954834},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.5805345773696899},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.5361767411231995},{"id":"https://openalex.org/C199776023","wikidata":"https://www.wikidata.org/wiki/Q202875","display_name":"Negotiation","level":2,"score":0.4671193063259125},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4326951205730438},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42503368854522705},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2527965307235718},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.20800748467445374},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.09399554133415222},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3338506.3340273","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3338506.3340273","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3338506.3340273","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Workshop on the Economics of Networks, Systems and Computation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3338506.3340273","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3338506.3340273","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3338506.3340273","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Workshop on the Economics of Networks, Systems and Computation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2258753692","display_name":null,"funder_award_id":"CNS-1616575","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4919727899","display_name":"TTP: Small: Network-Level Security Posture Assessment and Predictive Analytics: From Theory to Practice","funder_award_id":"1616575","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6660986853","display_name":"CPS:Small:Collaborative Research: Incentivizing Desirable User Behavior in a Class of CPS","funder_award_id":"1739517","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8208219643","display_name":null,"funder_award_id":"1646019","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8437432753","display_name":null,"funder_award_id":"CNS-1616575, CNS-1646019, CNS-1739517","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963043413.pdf","grobid_xml":"https://content.openalex.org/works/W2963043413.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1579157456","https://openalex.org/W1873763122","https://openalex.org/W1989291641","https://openalex.org/W2010523825","https://openalex.org/W2027595342","https://openalex.org/W2030529668","https://openalex.org/W2138517781","https://openalex.org/W2157497706","https://openalex.org/W2474250966","https://openalex.org/W2522043394","https://openalex.org/W2583350981","https://openalex.org/W2751384916","https://openalex.org/W2757072265","https://openalex.org/W2895296474","https://openalex.org/W2949952983","https://openalex.org/W4205228770"],"related_works":["https://openalex.org/W3038283795","https://openalex.org/W2604501336","https://openalex.org/W2734500670","https://openalex.org/W2558166297","https://openalex.org/W2315671126","https://openalex.org/W798507144","https://openalex.org/W2964481303","https://openalex.org/W1751413323","https://openalex.org/W2571704763","https://openalex.org/W2596305496"],"abstract_inverted_index":{"Personal":[0],"information":[1],"and":[2,14,20,106,112,160,201],"other":[3],"types":[4],"of":[5,58,79,96,103,110,135,145,157,214],"private":[6,49,116,169],"data":[7,12,44,61,80],"are":[8],"valuable":[9],"for":[10,48,75,90,132,147,179,232],"both":[11],"owners":[13],"institutions":[15,38],"interested":[16],"in":[17,46],"providing":[18],"targeted":[19],"customized":[21],"services":[22],"that":[23,120,123,203],"require":[24],"analyzing":[25],"such":[26,60,136],"data.":[27,50,117],"In":[28,51],"this":[29,52,195,205],"context,":[30],"privacy":[31,105,126,230],"is":[32],"sometimes":[33],"seen":[34],"as":[35,138,220],"a":[36,65,76,93,108,166,184,217],"commodity:":[37],"(data":[39],"buyers)":[40],"pay":[41],"individuals":[42],"(or":[43],"sellers)":[45],"exchange":[47],"study,":[53],"we":[54,99,164],"examine":[55,107],"the":[56,73,83,101,133,148,154,158,161,176,190,207,211,224,233],"problem":[57],"designing":[59],"contracts,":[62],"through":[63],"which":[64,171],"buyer":[66,159,208],"aims":[67],"to":[68,72,86,151,174,188,198,222],"minimize":[69],"his":[70],"payment":[71,219],"sellers":[74],"desired":[77],"level":[78,213],"quality,":[81],"while":[82,227],"latter":[84],"aim":[85],"obtain":[87],"adequate":[88],"compensation":[89],"giving":[91],"up":[92],"certain":[94],"amount":[95],"privacy.":[97],"Specifically,":[98],"use":[100,183],"concept":[102],"differential":[104,125],"model":[109],"linear":[111],"nonlinear":[113],"queries":[114],"on":[115],"We":[118,182],"show":[119,202],"conventional":[121],"algorithms":[122],"introduce":[124],"via":[127],"zero-mean":[128],"noise":[129],"fall":[130],"short":[131],"purpose":[134],"transactions":[137],"they":[139],"do":[140],"not":[141],"provide":[142,199],"sufficient":[143],"degree":[144],"freedom":[146],"contract":[149,185],"designer":[150],"negotiate":[152],"between":[153],"competing":[155],"interests":[156],"sellers.":[162,234],"Instead,":[163],"propose":[165],"biased":[167,196],"differentially":[168],"algorithm":[170,197],"allows":[172],"us":[173],"customize":[175],"privacy-accuracy":[177],"tradeoff":[178],"each":[180],"individual.":[181],"design":[186],"approach":[187],"find":[189],"optimal":[191],"contracts":[192],"when":[193],"using":[194,223],"privacy,":[200],"under":[204],"combination":[206],"can":[209],"achieve":[210],"same":[212],"accuracy":[215],"with":[216],"lower":[218,229],"compared":[221],"unbiased":[225],"algorithms,":[226],"incurring":[228],"loss":[231]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
