{"id":"https://openalex.org/W2782817518","doi":"https://doi.org/10.1109/glocom.2017.8254991","title":"Optimal Privacy-Preserving Data Collection: A Prospect Theory Perspective","display_name":"Optimal Privacy-Preserving Data Collection: A Prospect Theory Perspective","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2782817518","doi":"https://doi.org/10.1109/glocom.2017.8254991","mag":"2782817518"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2017.8254991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2017.8254991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2017 - 2017 IEEE Global Communications Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022042645","display_name":"Guocheng Liao","orcid":"https://orcid.org/0000-0002-3200-6162"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Guocheng Liao","raw_affiliation_strings":["Department of Information Engineering, Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385692","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0001-9943-6020"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Chen","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062346297","display_name":"Jianwei Huang","orcid":"https://orcid.org/0000-0001-6631-1096"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jianwei Huang","raw_affiliation_strings":["Department of Information Engineering, Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.969,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81592745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"18","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":0.9993000030517578,"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":0.9993000030517578,"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":0.9868999719619751,"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"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7657358646392822},{"id":"https://openalex.org/keywords/utility-maximization-problem","display_name":"Utility maximization problem","score":0.7208409905433655},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6845451593399048},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5481805801391602},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5114578008651733},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4841495156288147},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.479561984539032},{"id":"https://openalex.org/keywords/mechanism-design","display_name":"Mechanism design","score":0.4664176404476166},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.46030667424201965},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44776636362075806},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.432399719953537},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37235432863235474},{"id":"https://openalex.org/keywords/utility-maximization","display_name":"Utility maximization","score":0.2980921268463135},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.20547598600387573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17479729652404785},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17068830132484436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13140389323234558},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.10695499181747437}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7657358646392822},{"id":"https://openalex.org/C2779044140","wikidata":"https://www.wikidata.org/wiki/Q3274096","display_name":"Utility maximization problem","level":3,"score":0.7208409905433655},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6845451593399048},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5481805801391602},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5114578008651733},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4841495156288147},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.479561984539032},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.4664176404476166},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.46030667424201965},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44776636362075806},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.432399719953537},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37235432863235474},{"id":"https://openalex.org/C2985793214","wikidata":"https://www.wikidata.org/wiki/Q3274096","display_name":"Utility maximization","level":2,"score":0.2980921268463135},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.20547598600387573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17479729652404785},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17068830132484436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13140389323234558},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.10695499181747437},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2017.8254991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2017.8254991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2017 - 2017 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1873763122","https://openalex.org/W1965093697","https://openalex.org/W2010069926","https://openalex.org/W2030529668","https://openalex.org/W2041946752","https://openalex.org/W2090593019","https://openalex.org/W2098410140","https://openalex.org/W2099430988","https://openalex.org/W2133469585","https://openalex.org/W2145278086","https://openalex.org/W2161336914","https://openalex.org/W2190764372","https://openalex.org/W2258723440","https://openalex.org/W2311311203","https://openalex.org/W2341925836","https://openalex.org/W2468617950","https://openalex.org/W2592616030","https://openalex.org/W2949779456","https://openalex.org/W2962766326","https://openalex.org/W2990299855","https://openalex.org/W3011865677","https://openalex.org/W3099945124","https://openalex.org/W3103634041","https://openalex.org/W4239292107","https://openalex.org/W4298384348"],"related_works":["https://openalex.org/W2947806671","https://openalex.org/W2390878257","https://openalex.org/W2144260821","https://openalex.org/W2141163797","https://openalex.org/W2911306209","https://openalex.org/W2118922860","https://openalex.org/W2267645079","https://openalex.org/W2740507653","https://openalex.org/W3121521771","https://openalex.org/W2513745032"],"abstract_inverted_index":{"We":[0,118,141,167],"study":[1],"a":[2,25,47,128,156,196,209],"mechanism":[3,49,212],"design":[4],"problem":[5,126],"of":[6,39,63,130,161,179],"privacy-":[7],"preserving":[8],"data":[9,16,22,44,71,122,163,197],"collection":[10],"with":[11,36,185],"privacy":[12,41,80,93],"protection":[13],"uncertainty.":[14],"A":[15],"collector":[17,45,198],"wants":[18],"to":[19,23,55,69,87,138,154,213],"collect":[20],"enough":[21],"perform":[24],"certain":[26],"computation":[27,57],"that":[28,120,170,195],"benefits":[29],"the":[30,34,37,56,61,64,74,78,84,88,101,113,121,162,171,177,186,189,201],"individuals":[31,180],"who":[32,199],"contribute":[33,70],"data,":[35],"possibility":[38],"individual":[40],"leakage.":[42],"The":[43],"adopts":[46],"privacy-preserving":[48,211],"by":[50,83,146],"adding":[51],"some":[52],"random":[53],"noise":[54],"result,":[58],"which":[59,104,135,151],"reduces":[60],"accuracy":[62],"computation.":[65],"Individuals":[66],"decide":[67],"whether":[68],"based":[72],"on":[73],"potential":[75],"benefit":[76],"and":[77,132],"possible":[79],"cost":[81],"induced":[82],"mechanism.":[85],"Due":[86],"intrinsic":[89],"uncertainty":[90,111],"involved":[91],"in":[92],"protection,":[94],"we":[95,193],"model":[96],"individuals'":[97,108],"privacy-aware":[98],"participation":[99],"using":[100],"prospect":[102,204],"theory,":[103,192],"more":[105,202],"accurately":[106],"models":[107],"behavior":[109],"under":[110,188],"than":[112],"traditional":[114],"expected":[115,190],"utility":[116,124,191],"theory.":[117],"show":[119,169],"collector's":[123,164],"maximization":[125],"involves":[127],"polynomial":[129],"high":[131],"fractional":[133],"order,":[134],"is":[136,174,181],"difficult":[137],"solve":[139],"analytically.":[140],"get":[142],"around":[143],"this":[144],"issue":[145],"proposing":[147],"an":[148],"approximation":[149,172],"method,":[150],"allows":[152],"us":[153],"obtain":[155],"closed":[157],"form":[158],"unique":[159],"solution":[160],"decision":[165],"problem.":[166],"numerically":[168],"error":[173],"small":[175],"when":[176],"number":[178],"large.":[182],"By":[183],"comparing":[184],"results":[187],"conclude":[194],"considers":[200],"realistic":[203],"theory":[205],"modeling":[206],"should":[207],"adopt":[208],"stricter":[210],"boost":[214],"her":[215],"utility.":[216]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
