{"id":"https://openalex.org/W4393952239","doi":"https://doi.org/10.56553/popets-2024-0041","title":"Multiparty Private Set Intersection Cardinality and Its Applications","display_name":"Multiparty Private Set Intersection Cardinality and Its Applications","publication_year":2024,"publication_date":"2024-04-01","ids":{"openalex":"https://openalex.org/W4393952239","doi":"https://doi.org/10.56553/popets-2024-0041"},"language":"en","primary_location":{"id":"doi:10.56553/popets-2024-0041","is_oa":true,"landing_page_url":"https://doi.org/10.56553/popets-2024-0041","pdf_url":"https://petsymposium.org/popets/2024/popets-2024-0041.pdf","source":{"id":"https://openalex.org/S4210183172","display_name":"Proceedings on Privacy Enhancing Technologies","issn_l":"2299-0984","issn":["2299-0984"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings on Privacy Enhancing Technologies","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://petsymposium.org/popets/2024/popets-2024-0041.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091870127","display_name":"Jiahui Gao","orcid":"https://orcid.org/0000-0003-3821-2263"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jiahui Gao","raw_affiliation_strings":["Arizona State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028189452","display_name":"Ni Trieu","orcid":"https://orcid.org/0000-0001-6013-9512"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ni Trieu","raw_affiliation_strings":["Arizona State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021969156","display_name":"Avishay Yanai","orcid":"https://orcid.org/0000-0003-4060-0150"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Avishay Yanai","raw_affiliation_strings":["VMware Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VMware Research","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091870127"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":5.035,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.95709552,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2024","issue":"2","first_page":"73","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9997000098228455,"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/T10237","display_name":"Cryptography and Data Security","score":0.9997000098228455,"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9884999990463257,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.845669150352478},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.8202898502349854},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5970653891563416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5304567217826843},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39064767956733704},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33251506090164185},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3238869905471802},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.20253393054008484},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0883481502532959},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.06482592225074768},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.06226694583892822}],"concepts":[{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.845669150352478},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.8202898502349854},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5970653891563416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5304567217826843},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39064767956733704},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33251506090164185},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3238869905471802},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.20253393054008484},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0883481502532959},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.06482592225074768},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.06226694583892822}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.56553/popets-2024-0041","is_oa":true,"landing_page_url":"https://doi.org/10.56553/popets-2024-0041","pdf_url":"https://petsymposium.org/popets/2024/popets-2024-0041.pdf","source":{"id":"https://openalex.org/S4210183172","display_name":"Proceedings on Privacy Enhancing Technologies","issn_l":"2299-0984","issn":["2299-0984"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings on Privacy Enhancing Technologies","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.56553/popets-2024-0041","is_oa":true,"landing_page_url":"https://doi.org/10.56553/popets-2024-0041","pdf_url":"https://petsymposium.org/popets/2024/popets-2024-0041.pdf","source":{"id":"https://openalex.org/S4210183172","display_name":"Proceedings on Privacy Enhancing Technologies","issn_l":"2299-0984","issn":["2299-0984"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings on Privacy Enhancing Technologies","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1160299270","display_name":null,"funder_award_id":"2200161","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6037549238","display_name":null,"funder_award_id":"2101052","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7327021058","display_name":null,"funder_award_id":"2115075","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"},{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393952239.pdf"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W644599125","https://openalex.org/W1502051745","https://openalex.org/W1524288918","https://openalex.org/W1528693676","https://openalex.org/W1889757464","https://openalex.org/W1969009977","https://openalex.org/W2004957971","https://openalex.org/W2093367651","https://openalex.org/W2114021497","https://openalex.org/W2143824669","https://openalex.org/W2145341289","https://openalex.org/W2183863591","https://openalex.org/W2212846837","https://openalex.org/W2296074669","https://openalex.org/W2469640970","https://openalex.org/W2533357737","https://openalex.org/W2535199873","https://openalex.org/W2603964031","https://openalex.org/W2623294209","https://openalex.org/W2767023267","https://openalex.org/W2789942450","https://openalex.org/W2922077514","https://openalex.org/W2930832027","https://openalex.org/W2946537710","https://openalex.org/W2983941230","https://openalex.org/W2998574808","https://openalex.org/W3013638630","https://openalex.org/W3015737048","https://openalex.org/W3022916067","https://openalex.org/W3023633122","https://openalex.org/W3037145554","https://openalex.org/W3081681251","https://openalex.org/W3090731045","https://openalex.org/W3095102583","https://openalex.org/W3108839201","https://openalex.org/W3115210847","https://openalex.org/W3150904314","https://openalex.org/W3164295456","https://openalex.org/W3166373439","https://openalex.org/W3183199186","https://openalex.org/W3214336257","https://openalex.org/W4283775510","https://openalex.org/W4287781070","https://openalex.org/W4300889023","https://openalex.org/W4321993631"],"related_works":["https://openalex.org/W2002177687","https://openalex.org/W2058438338","https://openalex.org/W2019471580","https://openalex.org/W2941284322","https://openalex.org/W4224920876","https://openalex.org/W2947386998","https://openalex.org/W3013412531","https://openalex.org/W2922502643","https://openalex.org/W24519920","https://openalex.org/W2087778462"],"abstract_inverted_index":{"We":[0,29,69,163],"describe":[1],"a":[2,31,44,66,120,134,157,160],"new":[3],"paradigm":[4],"for":[5],"multi-party":[6,121],"private":[7],"set":[8],"intersection":[9,19],"cardinality":[10],"(PSI-CA)":[11],"that":[12,43,129,151,178],"allows":[13],"$n$":[14],"parties":[15,48,81],"to":[16,179],"compute":[17],"the":[18,41,63,71,96,99,107,114,165,180],"size":[20],"of":[21,33,35,47,65,73,84,109,119,167],"their":[22],"datasets":[23],"without":[24],"revealing":[25],"any":[26],"additional":[27],"information.":[28],"explore":[30],"variety":[32],"instantiations":[34],"this":[36,112],"paradigm.":[37],"By":[38],"operating":[39],"under":[40],"assumption":[42],"particular":[45],"subset":[46],"refrains":[49],"from":[50,123],"collusion,":[51],"our":[52,74,88,110,174],"protocols":[53],"avoid":[54],"computationally":[55],"expensive":[56],"public-key":[57],"operations":[58],"and":[59,145,171,176],"are":[60],"secure":[61],"in":[62,95],"presence":[64],"semi-honest":[67],"adversary.":[68],"demonstrate":[70],"practicality":[72],"PSI-CA":[75,122],"with":[76,82],"an":[77,127],"implementation.":[78],"For":[79],"$n=16$":[80],"data-sets":[83],"$2^{20}$":[85],"items":[86],"each,":[87],"server-aided":[89],"variant":[90],"takes":[91,102],"71":[92],"seconds.":[93,105],"Interestingly,":[94],"server-less":[97],"setting,":[98],"same":[100],"task":[101],"only":[103],"7":[104],"To":[106],"best":[108],"knowledge,":[111],"is":[113],"first":[115],"`special":[116],"purpose'":[117],"implementation":[118,128],"symmetric-key":[124],"techniques":[125],"(i.e.":[126],"does":[130],"not":[131],"rely":[132],"on":[133],"generic":[135],"underlying":[136],"MPC).We":[137],"study":[138],"two":[139],"interesting":[140],"applications":[141],"--":[142,150],"heatmap":[143,170],"computation":[144],"associated":[146],"rule":[147],"learning":[148],"(ARL)":[149],"can":[152],"be":[153],"computed":[154],"securely":[155,168],"using":[156,173],"dot-product":[158],"as":[159],"building":[161],"block.":[162],"analyse":[164],"performance":[166],"computing":[169],"ARL":[172],"protocol":[175],"compare":[177],"state-of-the-art.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
