{"id":"https://openalex.org/W4319866443","doi":"https://doi.org/10.1109/tai.2023.3240700","title":"Privacy-Preserving Multiview Matrix Factorization for Recommender Systems","display_name":"Privacy-Preserving Multiview Matrix Factorization for Recommender Systems","publication_year":2023,"publication_date":"2023-01-31","ids":{"openalex":"https://openalex.org/W4319866443","doi":"https://doi.org/10.1109/tai.2023.3240700"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2023.3240700","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2023.3240700","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-article"},"type":"article","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/A5072687570","display_name":"Peihua Mai","orcid":"https://orcid.org/0000-0002-5851-2290"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Peihua Mai","raw_affiliation_strings":["Department of Analytics and Operations, National University of Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-5851-2290","affiliations":[{"raw_affiliation_string":"Department of Analytics and Operations, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081395110","display_name":"Yan Pang","orcid":"https://orcid.org/0000-0002-7315-1358"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yan Pang","raw_affiliation_strings":["Department of Analytics and Operations, National University of Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-7315-1358","affiliations":[{"raw_affiliation_string":"Department of Analytics and Operations, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1211,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.89398658,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"5","issue":"1","first_page":"267","last_page":"277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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":0.9998000264167786,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9958999752998352,"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"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9958999752998352,"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/computer-science","display_name":"Computer science","score":0.8673344850540161},{"id":"https://openalex.org/keywords/movielens","display_name":"MovieLens","score":0.8579260110855103},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8359588384628296},{"id":"https://openalex.org/keywords/homomorphic-encryption","display_name":"Homomorphic encryption","score":0.757160484790802},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.7534172534942627},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6022128462791443},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5885007381439209},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4933678209781647},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4820471704006195},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.45057326555252075},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42131301760673523},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3755593001842499},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.25041282176971436},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1732141673564911},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16113322973251343}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8673344850540161},{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.8579260110855103},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8359588384628296},{"id":"https://openalex.org/C158338273","wikidata":"https://www.wikidata.org/wiki/Q2154943","display_name":"Homomorphic encryption","level":3,"score":0.757160484790802},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.7534172534942627},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6022128462791443},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5885007381439209},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4933678209781647},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4820471704006195},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.45057326555252075},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42131301760673523},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3755593001842499},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.25041282176971436},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1732141673564911},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16113322973251343},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2023.3240700","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2023.3240700","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W173148493","https://openalex.org/W1544327602","https://openalex.org/W1977822596","https://openalex.org/W1982065519","https://openalex.org/W1999031685","https://openalex.org/W2006203643","https://openalex.org/W2018571751","https://openalex.org/W2025605741","https://openalex.org/W2038281434","https://openalex.org/W2054141820","https://openalex.org/W2100235918","https://openalex.org/W2102982709","https://openalex.org/W2117420919","https://openalex.org/W2132172731","https://openalex.org/W2135598826","https://openalex.org/W2142466236","https://openalex.org/W2166308223","https://openalex.org/W2746563878","https://openalex.org/W2890543431","https://openalex.org/W2912213068","https://openalex.org/W2913777072","https://openalex.org/W2973141328","https://openalex.org/W3015807225","https://openalex.org/W3034790665","https://openalex.org/W3037304081","https://openalex.org/W3047789363","https://openalex.org/W3082845510","https://openalex.org/W4206320562","https://openalex.org/W6678911119","https://openalex.org/W6754201407","https://openalex.org/W6758813588","https://openalex.org/W6769860480"],"related_works":["https://openalex.org/W2355698112","https://openalex.org/W2022984797","https://openalex.org/W4394818607","https://openalex.org/W2986679525","https://openalex.org/W2797500822","https://openalex.org/W2794458286","https://openalex.org/W4205822456","https://openalex.org/W4299358966","https://openalex.org/W2537367858","https://openalex.org/W3173811578"],"abstract_inverted_index":{"With":[0],"an":[1],"increasing":[2],"focus":[3],"on":[4,12,61,107,153],"data":[5,168],"privacy,":[6],"there":[7,48],"have":[8],"been":[9],"pilot":[10],"studies":[11,35],"recommender":[13,58,82,173],"systems":[14,59],"in":[15,53,56,77,80,171],"a":[16,26,68,148,154],"federated":[17,57,81,172],"learning":[18],"(FL)":[19],"framework,":[20],"where":[21],"multiple":[22],"parties":[23],"collaboratively":[24],"train":[25],"model":[27],"without":[28],"sharing":[29],"their":[30],"data.":[31],"Most":[32],"of":[33,72,157],"these":[34],"assume":[36],"that":[37,92,118],"the":[38,73,93,108,124,145,185],"conventional":[39],"FL":[40,94,112],"framework":[41,151],"can":[42],"fully":[43],"protect":[44],"user":[45,167],"privacy.":[46],"However,":[47],"are":[49],"serious":[50],"privacy":[51,169],"risks":[52],"matrix":[54,162],"factorization":[55,163],"based":[60,106,152],"our":[62,119],"study.":[63],"This":[64],"article":[65,146],"first":[66],"provides":[67],"rigorous":[69],"theoretical":[70],"analysis":[71,116,122],"server":[74,95],"reconstruction":[75,120],"attack":[76,121],"four":[78],"scenarios":[79],"systems,":[83],"followed":[84],"by":[85,127],"comprehensive":[86],"experiments.":[87],"The":[88,114,175],"empirical":[89],"results":[90],"demonstrate":[91],"could":[96],"infer":[97],"users'":[98],"information":[99],"with":[100,135,184],"accuracy":[101],"<inline-formula":[102,128,136],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[103,129,137],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[104,130,138],"notation=\"LaTeX\">$&gt;80\\%$</tex-math></inline-formula>":[105],"uploaded":[109],"gradients":[110],"from":[111],"nodes.":[113],"robustness":[115],"suggests":[117],"outperforms":[123],"random":[125],"guess":[126],"notation=\"LaTeX\">$&gt;30\\%$</tex-math></inline-formula>":[131],"under":[132],"Laplace":[133],"noises":[134],"notation=\"LaTeX\">$b\\leq":[139],"0.5$</tex-math></inline-formula>":[140],"for":[141],"all":[142],"scenarios.":[143],"Then,":[144],"proposes":[147],"new":[149],"privacy-preserving":[150,160],"threshold":[155],"variant":[156],"homomorphic":[158],"encryption,":[159],"multiview":[161],"(PrivMVMF),":[164],"to":[165],"enhance":[166],"protection":[170],"systems.":[174],"proposed":[176],"PrivMVMF":[177],"is":[178],"successfully":[179],"implemented":[180],"and":[181],"tested":[182],"thoroughly":[183],"MovieLens":[186],"dataset.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2023-02-11T00:00:00"}
