{"id":"https://openalex.org/W2406176316","doi":"https://doi.org/10.1145/2897845.2897875","title":"Efficient Privacy-Preserving Matrix Factorization via Fully Homomorphic Encryption","display_name":"Efficient Privacy-Preserving Matrix Factorization via Fully Homomorphic Encryption","publication_year":2016,"publication_date":"2016-05-27","ids":{"openalex":"https://openalex.org/W2406176316","doi":"https://doi.org/10.1145/2897845.2897875","mag":"2406176316"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/2897845.2897875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100704335","display_name":"Sungwook Kim","orcid":"https://orcid.org/0000-0003-4789-3347"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"funder","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungwook Kim","raw_affiliation_strings":["Samsung Electronics, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Electronics, Seoul, South Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100746309","display_name":"Jinsu Kim","orcid":"https://orcid.org/0000-0003-1009-3928"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"funder","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinsu Kim","raw_affiliation_strings":["Samsung Electronics, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Electronics, Seoul, South Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041730983","display_name":"Dongyoung Koo","orcid":"https://orcid.org/0000-0003-3283-5494"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"funder","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongyoung Koo","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653830","display_name":"Yuna Kim","orcid":"https://orcid.org/0009-0001-2367-7896"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"funder","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yuna Kim","raw_affiliation_strings":["Samsung Electronics, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Electronics, Seoul, South Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101921594","display_name":"Hyunsoo Yoon","orcid":"https://orcid.org/0000-0002-4995-3158"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"funder","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunsoo Yoon","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090468303","display_name":"Junbum Shin","orcid":"https://orcid.org/0009-0005-7985-6163"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"funder","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junbum Shin","raw_affiliation_strings":["Samsung Electronics, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Electronics, Seoul, South Korea","institution_ids":["https://openalex.org/I2250650973"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.185,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":56,"citation_normalized_percentile":{"value":0.946002,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9999,"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":0.9999,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.999,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9973,"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/homomorphic-encryption","display_name":"Homomorphic Encryption","score":0.9177886}],"concepts":[{"id":"https://openalex.org/C158338273","wikidata":"https://www.wikidata.org/wiki/Q2154943","display_name":"Homomorphic encryption","level":3,"score":0.9177886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8325287},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.8127607},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.578527},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.52185094},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.49038696},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.48542222},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.4331587},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.42704153},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.41297168},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3592127},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.35030222},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3226481},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.30344832},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.27182594},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"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/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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/2897845.2897875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":43,"referenced_works":["https://openalex.org/W116648389","https://openalex.org/W1493343761","https://openalex.org/W1608459536","https://openalex.org/W1755636270","https://openalex.org/W1850468005","https://openalex.org/W1873763122","https://openalex.org/W1890272145","https://openalex.org/W1948403713","https://openalex.org/W1966731635","https://openalex.org/W1971991172","https://openalex.org/W1981631259","https://openalex.org/W1988374166","https://openalex.org/W2005107218","https://openalex.org/W2013623332","https://openalex.org/W2022097286","https://openalex.org/W2031738616","https://openalex.org/W2049577860","https://openalex.org/W2053244871","https://openalex.org/W2054141820","https://openalex.org/W2092422002","https://openalex.org/W2100235918","https://openalex.org/W2109208918","https://openalex.org/W2117983043","https://openalex.org/W2119948977","https://openalex.org/W2121966774","https://openalex.org/W2132172731","https://openalex.org/W2135930857","https://openalex.org/W2149409084","https://openalex.org/W2152926062","https://openalex.org/W2159024459","https://openalex.org/W2159196732","https://openalex.org/W2166939545","https://openalex.org/W2167094273","https://openalex.org/W2169101582","https://openalex.org/W2171960770","https://openalex.org/W2233233025","https://openalex.org/W2293706247","https://openalex.org/W2296635479","https://openalex.org/W236632755","https://openalex.org/W2401959250","https://openalex.org/W2950189110","https://openalex.org/W3125094869","https://openalex.org/W3140043901"],"related_works":["https://openalex.org/W4390664647","https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W3012147850","https://openalex.org/W2963185427","https://openalex.org/W2539930818","https://openalex.org/W2342498029","https://openalex.org/W2065296176","https://openalex.org/W1973739845","https://openalex.org/W119752240"],"abstract_inverted_index":{"Recommendation":[0],"systems":[1],"become":[2],"popular":[3],"in":[4,166,206,221,224],"our":[5,62],"daily":[6],"life.":[7],"It":[8,89,211],"is":[9,212],"well":[10],"known":[11],"that":[12,76,201],"the":[13,15,21,23,47,68,77,95,106,121,125,137,169,172,202],"more":[14,213],"release":[16],"of":[17,25,58,99,108,129,139,177,184],"users'":[18,60],"personal":[19,191],"data,":[20],"better":[22],"quality":[24,128],"recommendation.":[26],"However,":[27],"such":[28],"services":[29],"raise":[30],"serious":[31],"privacy":[32],"concerns":[33],"for":[34,116,127,159],"users.":[35],"In":[36],"this":[37],"paper,":[38],"focusing":[39],"on":[40,82,189,231],"matrix":[41,50,65,160],"factorization-based":[42],"recommendation":[43,78],"systems,":[44],"we":[45,143],"propose":[46],"first":[48],"privacy-preserving":[49],"factorization":[51,66],"using":[52],"fully":[53,140],"homomorphic":[54,141],"encryption.":[55],"On":[56],"inputs":[57],"encrypted":[59,69,73,153],"ratings,":[61],"protocol":[63,174,204],"performs":[64],"over":[67,152,182],"data":[70,147,170],"and":[71,85,97,110,119],"returns":[72],"outputs":[74],"so":[75],"system":[79],"knows":[80],"nothing":[81],"rating":[83],"values":[84],"resulting":[86],"user/item":[87],"profiles.":[88],"provides":[90],"a":[91,101,145,190],"way":[92],"to":[93,123,149],"obfuscate":[94],"number":[96],"list":[98],"items":[100],"user":[102],"rated":[103],"without":[104],"harming":[105],"accuracy":[107],"recommendation,":[109],"additionally":[111],"protects":[112],"recommender's":[113],"tuning":[114],"parameters":[115,126],"business":[117],"benefit":[118],"allows":[120],"recommender":[122],"optimize":[124],"service.":[130],"To":[131],"overcome":[132],"performance":[133],"degradation":[134],"caused":[135],"by":[136],"use":[138],"encryption,":[142],"introduce":[144],"novel":[146],"structure":[148],"perform":[150],"computations":[151],"vectors,":[154],"which":[155,225],"are":[156],"essential":[157],"operations":[158],"factorization,":[161],"through":[162],"secure":[163],"2-party":[164],"computation":[165,180],"part.":[167],"With":[168],"structure,":[171],"proposed":[173,203,220],"requires":[175],"dozens":[176],"times":[178],"less":[179],"cost":[181],"those":[183],"previous":[185],"works.":[186],"Our":[187],"experiments":[188],"computer":[192],"with":[193,234],"3.4":[194],"GHz":[195,236],"6-cores":[196],"64":[197],"GB":[198,239],"RAM":[199],"show":[200],"runs":[205],"1.5":[207],"minutes":[208,230],"per":[209],"iteration.":[210],"efficient":[214],"than":[215],"Nikolaenko":[216],"et":[217],"al.'s":[218],"work":[219],"CCS":[222],"2013,":[223],"it":[226],"took":[227],"about":[228],"170":[229],"two":[232],"servers":[233],"1.9":[235],"16-cores":[237],"128":[238],"RAM.":[240]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2406176316","counts_by_year":[{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1}],"updated_date":"2025-03-20T06:30:15.046432","created_date":"2016-06-24"}