{"id":"https://openalex.org/W3169158436","doi":"https://doi.org/10.1109/cscwd49262.2021.9437703","title":"Preserving Privacy for Discrete Location Information","display_name":"Preserving Privacy for Discrete Location Information","publication_year":2021,"publication_date":"2021-05-05","ids":{"openalex":"https://openalex.org/W3169158436","doi":"https://doi.org/10.1109/cscwd49262.2021.9437703","mag":"3169158436"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd49262.2021.9437703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd49262.2021.9437703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5102020713","display_name":"Kai Dong","orcid":"https://orcid.org/0000-0002-3156-9035"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Dong","raw_affiliation_strings":["College of Software Engineering, Southeast University, Nanjing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software Engineering, Southeast University, Nanjing, P.R. China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029457035","display_name":"Zhenyuan Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyuan Tao","raw_affiliation_strings":["College of Software Engineering, Southeast University, Nanjing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software Engineering, Southeast University, Nanjing, P.R. China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031186244","display_name":"Xiangyu Xia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiangyu Xia","raw_affiliation_strings":["Science and Technology on Communication Security Laboratory, Chengdu, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Communication Security Laboratory, Chengdu, P.R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003071181","display_name":"Zhouguo Chen","orcid":"https://orcid.org/0000-0002-4063-963X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhouguo Chen","raw_affiliation_strings":["Science and Technology on Communication Security Laboratory, Chengdu, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Communication Security Laboratory, Chengdu, P.R. China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100708940","display_name":"Ming Yang","orcid":"https://orcid.org/0000-0002-8209-1000"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Yang","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, P.R. China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"360","last_page":"365"},"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9839000105857849,"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":0.7991724610328674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.78924560546875},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7273419499397278},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.6322165131568909},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5566483736038208},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5309642553329468},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5095289349555969},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.45018327236175537},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.43323737382888794},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4122657775878906},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33838027715682983},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3005949854850769},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20759034156799316},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08106410503387451}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.7991724610328674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78924560546875},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7273419499397278},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.6322165131568909},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5566483736038208},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5309642553329468},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5095289349555969},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.45018327236175537},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.43323737382888794},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4122657775878906},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33838027715682983},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3005949854850769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20759034156799316},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08106410503387451},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd49262.2021.9437703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd49262.2021.9437703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G16560477","display_name":null,"funder_award_id":"2018YFB0803400,2018YFB2100300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2087369076","display_name":null,"funder_award_id":"62072098,62022024,61972088,61602111,61632008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W56293434","https://openalex.org/W1502364872","https://openalex.org/W1626398438","https://openalex.org/W1994952354","https://openalex.org/W2009618608","https://openalex.org/W2027595342","https://openalex.org/W2060871119","https://openalex.org/W2082894754","https://openalex.org/W2120911939","https://openalex.org/W2513128224","https://openalex.org/W2604458809","https://openalex.org/W2734484550","https://openalex.org/W2809452802","https://openalex.org/W2911978475","https://openalex.org/W3098835986","https://openalex.org/W4205228770","https://openalex.org/W6636500457","https://openalex.org/W6740482786"],"related_works":["https://openalex.org/W2019704260","https://openalex.org/W4304208041","https://openalex.org/W3010824232","https://openalex.org/W4212899026","https://openalex.org/W4308633695","https://openalex.org/W2795052735","https://openalex.org/W3081971900","https://openalex.org/W4286750579","https://openalex.org/W3005139629","https://openalex.org/W4300943073"],"abstract_inverted_index":{"With":[0],"the":[1,64,69,106,124,129,144,154],"development":[2],"of":[3,22,66,74],"smart":[4],"mobile":[5],"devices,":[6],"location":[7,23,34,38,55,60],"privacy":[8,24,35,39,56],"has":[9],"gained":[10],"attention":[11],"from":[12,26],"both":[13,138],"academia":[14],"and":[15,36,71,92,114,140,143,151],"industry.":[16],"In":[17,49],"recent":[18],"years,":[19],"a":[20,54,88,94],"variety":[21],"definitions":[25,108],"different":[27],"perspectives":[28],"have":[29,46,153],"been":[30],"proposed":[31,100,121,149],"to":[32,105],"quantify":[33],"compare":[37],"protection":[40],"mechanisms":[41,126],"(LPPMs).":[42],"These":[43],"definitions,":[44],"however,":[45],"some":[47],"drawbacks.":[48],"this":[50],"paper,":[51],"we":[52,86],"propose":[53],"metric":[57,101,150],"for":[58],"discrete":[59],"information":[61],"which":[62],"improves":[63],"quantification":[65],"distance":[67],"between":[68],"prior":[70],"posterior":[72],"distribution":[73],"an":[75],"adversary":[76],"who":[77],"may":[78],"hold":[79],"background":[80],"knowledge":[81],"in":[82],"differential":[83],"privacy.":[84],"Furthermore,":[85],"develop":[87],"non-convex":[89],"optimization":[90],"problem":[91],"construct":[93],"near-optimal":[95],"mechanism.":[96],"We":[97,117,134],"evaluate":[98,119],"our":[99,120,148],"by":[102],"comparing":[103],"it":[104],"state-of-the-art":[107],"including":[109],"Shokri's":[110],"incorrectness,":[111],"Andr\u00e9s's":[112],"geo-indistinguishability":[113],"Dong's":[115],"DPLO.":[116],"also":[118],"mechanism":[122,152],"with":[123],"optimal":[125],"based":[127],"on":[128,137],"afore":[130],"mentioned":[131],"existing":[132],"definitions.":[133],"make":[135],"experiments":[136],"simulation":[139],"realworld":[141],"dataset,":[142],"results":[145],"show":[146],"that":[147],"ascendant":[155],"position.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}