{"id":"https://openalex.org/W2938314907","doi":null,"title":"Privacy-Preserving Hierarchical Clustering: Formal Security and Efficient Approximation.","display_name":"Privacy-Preserving Hierarchical Clustering: Formal Security and Efficient Approximation.","publication_year":2019,"publication_date":"2019-04-09","ids":{"openalex":"https://openalex.org/W2938314907","mag":"2938314907"},"language":"en","primary_location":{"id":"mag:2938314907","doi":null,"is_oa":false,"landing_page_url":"http://export.arxiv.org/pdf/1904.04475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5019736242","display_name":"Xianrui Meng","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xianrui Meng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104121600","display_name":"Dimitrios Papadopoulos","orcid":"https://orcid.org/0000-0003-2621-3015","observed_orcids":["https://orcid.org/0000-0003-2621-3015"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dimitrios Papadopoulos","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2621-3015","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035574749","display_name":"Alina Oprea","orcid":"https://orcid.org/0000-0002-4979-5292","observed_orcids":["https://orcid.org/0000-0002-4979-5292"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alina Oprea","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4979-5292","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5110069498","display_name":"Nikos Triandopoulos","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nikos Triandopoulos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2003,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54280373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9740999937057495,"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":0.9740999937057495,"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":0.02410000003874302,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11614","display_name":"Cloud Data Security Solutions","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/collaborative-clustering","display_name":"collaborative clustering","score":0.5839999914169312},{"id":"https://openalex.org/keywords/federated-learning","display_name":"federated learning","score":0.859000027179718},{"id":"https://openalex.org/keywords/secure-multi-party-computation","display_name":"secure multi-party computation","score":0.7409999966621399},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"single linkage clustering","score":0.8460000157356262},{"id":"https://openalex.org/keywords/approximation-algorithms","display_name":"approximation algorithms","score":0.7749999761581421},{"id":"https://openalex.org/keywords/formal-security-definitions","display_name":"formal security definitions","score":0.625},{"id":"https://openalex.org/keywords/privacy-accuracy-trade-off","display_name":"privacy-accuracy trade-off","score":0.7960000038146973}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8617796897888184},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7344599962234497},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7019010782241821},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.658930778503418},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48338666558265686},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.45327651500701904},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.43289926648139954},{"id":"https://openalex.org/C2776945810","wikidata":"https://www.wikidata.org/wiki/Q17006654","display_name":"Data anonymization","level":3,"score":0.4328540861606598},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.4120684564113617},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.392812579870224},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.3827897012233734},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3433927297592163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30920395255088806},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1377011239528656},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1347818374633789},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11068406701087952},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2938314907","doi":null,"is_oa":false,"landing_page_url":"http://export.arxiv.org/pdf/1904.04475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W33016702","https://openalex.org/W70584117","https://openalex.org/W104209573","https://openalex.org/W150223756","https://openalex.org/W287743910","https://openalex.org/W655626130","https://openalex.org/W940772121","https://openalex.org/W1528076390","https://openalex.org/W1532325895","https://openalex.org/W1534636449","https://openalex.org/W1557073126","https://openalex.org/W1572902997","https://openalex.org/W1581241570","https://openalex.org/W1775772884","https://openalex.org/W1873763122","https://openalex.org/W1910686388","https://openalex.org/W1928124889","https://openalex.org/W1968265138","https://openalex.org/W1969009977","https://openalex.org/W1971421925","https://openalex.org/W1971991172","https://openalex.org/W1973124816","https://openalex.org/W1995395589","https://openalex.org/W2001084165","https://openalex.org/W2009733253","https://openalex.org/W2013141188","https://openalex.org/W2053637704","https://openalex.org/W2058706470","https://openalex.org/W2088339831","https://openalex.org/W2092422002","https://openalex.org/W2095897464","https://openalex.org/W2098340544","https://openalex.org/W2106217851","https://openalex.org/W2111272198","https://openalex.org/W2112380340","https://openalex.org/W2121423622","https://openalex.org/W2125490153","https://openalex.org/W2131580514","https://openalex.org/W2132172731","https://openalex.org/W2136068515","https://openalex.org/W2139336600","https://openalex.org/W2150926065","https://openalex.org/W2152590851","https://openalex.org/W2156001253","https://openalex.org/W2170696315","https://openalex.org/W2291624323","https://openalex.org/W2295292576","https://openalex.org/W2296436565","https://openalex.org/W2396633152","https://openalex.org/W2435473771","https://openalex.org/W2475174088","https://openalex.org/W2535690855","https://openalex.org/W2536058570","https://openalex.org/W2554086831","https://openalex.org/W2604552141","https://openalex.org/W2620512600","https://openalex.org/W2701059868","https://openalex.org/W2751684531","https://openalex.org/W2752272666","https://openalex.org/W2765200655","https://openalex.org/W2766831133","https://openalex.org/W2766917641","https://openalex.org/W2767079719","https://openalex.org/W2768347741","https://openalex.org/W2777638777","https://openalex.org/W2783769334","https://openalex.org/W2783983539","https://openalex.org/W2786737437","https://openalex.org/W2794685135","https://openalex.org/W2804870999","https://openalex.org/W2951368041","https://openalex.org/W2990399857"],"related_works":["https://openalex.org/W3202166365","https://openalex.org/W2981394420","https://openalex.org/W2954948409","https://openalex.org/W2772425748","https://openalex.org/W2751684531","https://openalex.org/W2369153596","https://openalex.org/W2163721300","https://openalex.org/W2053666563","https://openalex.org/W4392667176","https://openalex.org/W3204359140"],"abstract_inverted_index":{"Machine":[0],"Learning":[1],"(ML)":[2],"is":[3,20],"widely":[4],"used":[5],"for":[6,72,119,135,176,194],"predictive":[7],"tasks":[8],"in":[9,38,139],"a":[10,21,99,110,140,153,177],"number":[11],"of":[12,128,163,179,199],"critical":[13],"applications.":[14],"Recently,":[15],"collaborative":[16,74],"or":[17],"federated":[18],"learning":[19,54],"new":[22],"paradigm":[23],"that":[24,82,102,142],"enables":[25],"multiple":[26],"parties":[27,85],"to":[28,52,86,146],"jointly":[29],"learn":[30],"ML":[31],"models":[32,56],"on":[33,91,166],"their":[34,92],"combined":[35,93],"datasets.":[36,95,149],"Yet,":[37],"most":[39],"application":[40],"domains,":[41],"such":[42],"as":[43],"healthcare":[44],"and":[45,105,107,156,161,168,183,201],"security":[46],"analytics,":[47],"privacy":[48],"risks":[49],"limit":[50],"entities":[51],"individually":[53],"local":[55],"over":[57],"the":[58,68,126,159],"sensitive":[59,94],"datasets":[60],"they":[61],"own.":[62],"In":[63],"this":[64],"work,":[65],"we":[66,97,108,124,151],"present":[67,109],"first":[69],"formal":[70,100],"study":[71],"privacy-preserving":[73,188],"hierarchical":[75,136],"clustering,":[76,137],"overall":[77],"featuring":[78],"scalable":[79],"cryptographic":[80],"protocols":[81],"allow":[83],"two":[84],"privately":[87],"compute":[88],"joint":[89],"clusters":[90],"First,":[96],"provide":[98,152],"definition":[101],"balances":[103],"accuracy":[104],"privacy,":[106],"provably":[111],"secure":[112],"protocol":[113,130,141,190],"along":[114],"with":[115,131,171],"an":[116],"optimized":[117,187],"version":[118],"single":[120],"linkage":[121],"clustering.":[122],"Second,":[123],"explore":[125],"integration":[127],"our":[129,164,186],"existing":[132],"approximation":[133,189],"algorithms":[134],"resulting":[138],"can":[143],"efficiently":[144],"scale":[145],"very":[147],"large":[148],"Finally,":[150],"prototype":[154],"implementation":[155],"experimentally":[157],"evaluate":[158],"feasibility":[160],"efficiency":[162],"approach":[165],"synthetic":[167],"real":[169],"datasets,":[170],"encouraging":[172],"results.":[173],"For":[174],"example,":[175],"dataset":[178],"one":[180],"million":[181],"records":[182],"10":[184],"dimensions,":[185],"requires":[191],"35":[192],"seconds":[193],"end-to-end":[195],"execution,":[196],"just":[197],"896KB":[198],"communication,":[200],"achieves":[202],"97.09%":[203],"accuracy.":[204]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2019-04-25T00:00:00"}