{"id":"https://openalex.org/W3177291923","doi":"https://doi.org/10.1145/3448016.3452813","title":"Residual Sensitivity for Differentially Private Multi-Way Joins","display_name":"Residual Sensitivity for Differentially Private Multi-Way Joins","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3177291923","doi":"https://doi.org/10.1145/3448016.3452813","mag":"3177291923"},"language":"en","primary_location":{"id":"doi:10.1145/3448016.3452813","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448016.3452813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Management of Data","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/A5023558055","display_name":"Wei Dong","orcid":"https://orcid.org/0000-0002-0394-4125"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wei Dong","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009196125","display_name":"Ke Yi","orcid":"https://orcid.org/0000-0002-2178-3716"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ke Yi","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":3.3702,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.93982619,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"432","last_page":"444"},"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":0.9998999834060669,"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/T10927","display_name":"Access Control and Trust","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/joins","display_name":"Joins","score":0.8791008591651917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7893929481506348},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.72214275598526},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.6772438883781433},{"id":"https://openalex.org/keywords/join","display_name":"Join (topology)","score":0.5982140898704529},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5635457038879395},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.561978816986084},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.49707964062690735},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.4818759858608246},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4534780979156494},{"id":"https://openalex.org/keywords/conjunctive-query","display_name":"Conjunctive query","score":0.4494733512401581},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44636815786361694},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43629083037376404},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43624651432037354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15164890885353088},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12647593021392822},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07807177305221558}],"concepts":[{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.8791008591651917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7893929481506348},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.72214275598526},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.6772438883781433},{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.5982140898704529},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5635457038879395},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.561978816986084},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.49707964062690735},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4818759858608246},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4534780979156494},{"id":"https://openalex.org/C65647387","wikidata":"https://www.wikidata.org/wiki/Q1781706","display_name":"Conjunctive query","level":3,"score":0.4494733512401581},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44636815786361694},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43629083037376404},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43624651432037354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15164890885353088},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12647593021392822},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07807177305221558},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3448016.3452813","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448016.3452813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Management of Data","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-110097","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-85108107323&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-110097","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-110097","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1558832481","https://openalex.org/W1818923311","https://openalex.org/W1981932091","https://openalex.org/W1990503647","https://openalex.org/W2017509273","https://openalex.org/W2021651899","https://openalex.org/W2027595342","https://openalex.org/W2054922243","https://openalex.org/W2070712658","https://openalex.org/W2080900058","https://openalex.org/W2096803423","https://openalex.org/W2096870293","https://openalex.org/W2101771965","https://openalex.org/W2123733729","https://openalex.org/W2125678004","https://openalex.org/W2138865266","https://openalex.org/W2160113380","https://openalex.org/W2165223967","https://openalex.org/W2169861334","https://openalex.org/W2170204206","https://openalex.org/W2361944894","https://openalex.org/W2404133814","https://openalex.org/W2406036028","https://openalex.org/W2428510227","https://openalex.org/W2436309872","https://openalex.org/W2755088640","https://openalex.org/W2765072760","https://openalex.org/W2897278297","https://openalex.org/W2970408474","https://openalex.org/W3015632420","https://openalex.org/W3105622409","https://openalex.org/W3151354540","https://openalex.org/W4210596830","https://openalex.org/W4248861293"],"related_works":["https://openalex.org/W2016456293","https://openalex.org/W2161128265","https://openalex.org/W2138101384","https://openalex.org/W2140894225","https://openalex.org/W2108524022","https://openalex.org/W2378924333","https://openalex.org/W4212828571","https://openalex.org/W2125826941","https://openalex.org/W2362446711","https://openalex.org/W1505212787"],"abstract_inverted_index":{"A":[0],"general-purpose":[1],"query":[2,20,43,169],"engine":[3,170],"that":[4,70,149],"supports":[5],"a":[6,26,34,39,167],"large":[7,40],"class":[8],"of":[9,42,60,73,158],"SQLs":[10],"under":[11],"differential":[12],"privacy":[13],"is":[14],"the":[15,46,55,83,97,108,127,141],"holy":[16],"grail":[17],"in":[18,54],"privacy-preserving":[19],"release.":[21],"The":[22,57],"join":[23],"operator":[24],"presents":[25,140],"major":[27],"difficulty":[28],"towards":[29],"realizing":[30],"this":[31],"goal,":[32],"since":[33],"single":[35],"tuple":[36],"may":[37,79],"affect":[38],"number":[41,157],"results,":[44],"and":[45,125],"problem":[47],"worsens":[48],"as":[49,66],"more":[50],"relations":[51,78],"are":[52],"involved":[53],"join.":[56,80],"traditional":[58],"approach":[59],"global":[61],"sensitivity":[62,86],"fails":[63],"to":[64,103,166],"work":[65],"it":[67,102,120],"assumes":[68],"pessimistically":[69],"every":[71],"pair":[72],"tuples":[74],"from":[75],"two":[76],"different":[77],"To":[81],"address":[82],"issue,":[84],"instance-dependent":[85],"measures":[87],"have":[88,112],"been":[89],"proposed,":[90],"but":[91],"so":[92],"far":[93],"none":[94],"has":[95],"met":[96],"following":[98],"three":[99,152],"desiderata":[100,153],"for":[101,146,171],"be":[104,122,130],"truly":[105],"practical:":[106],"(1)":[107],"released":[109],"answer":[110],"should":[111],"low":[113],"noise":[114],"levels":[115],"(i.e.,":[116],"high":[117],"utility);":[118],"(2)":[119],"can":[121,129],"computed":[123],"efficiently;":[124],"(3)":[126],"method":[128],"easily":[131],"integrated":[132],"into":[133],"an":[134],"existing":[135],"relational":[136,173],"database.":[137],"This":[138],"paper":[139],"first":[142],"differentially":[143],"private":[144,159,172],"mechanism":[145],"multi-way":[147],"joins":[148],"satisfies":[150],"all":[151],"while":[154],"supporting":[155],"any":[156],"relations,":[160],"moving":[161],"us":[162],"one":[163],"step":[164],"closer":[165],"full-featured":[168],"data.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}