{"id":"https://openalex.org/W4388731371","doi":"https://doi.org/10.1145/3632961","title":"Privacy-Preserving Non-Negative Matrix Factorization with Outliers","display_name":"Privacy-Preserving Non-Negative Matrix Factorization with Outliers","publication_year":2023,"publication_date":"2023-11-16","ids":{"openalex":"https://openalex.org/W4388731371","doi":"https://doi.org/10.1145/3632961"},"language":"en","primary_location":{"id":"doi:10.1145/3632961","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3632961","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3632961","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3632961","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102764645","display_name":"Swapnil Saha","orcid":"https://orcid.org/0000-0002-0614-4131"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Swapnil Saha","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062376037","display_name":"Hafiz Imtiaz","orcid":"https://orcid.org/0000-0002-2042-5941"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Hafiz Imtiaz","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102764645"],"corresponding_institution_ids":["https://openalex.org/I183697816"],"apc_list":null,"apc_paid":null,"fwci":1.2205,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83796251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"18","issue":"3","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T10828","display_name":"Biometric Identification and Security","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11716","display_name":"Random Matrices and Applications","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7039347887039185},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6381405591964722},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.5768425464630127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5707855820655823},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4850737154483795},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4121946096420288},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39889729022979736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3368353247642517},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.335640013217926},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20863568782806396},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.12675771117210388},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07414478063583374}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7039347887039185},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6381405591964722},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.5768425464630127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5707855820655823},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4850737154483795},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4121946096420288},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39889729022979736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3368353247642517},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.335640013217926},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20863568782806396},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.12675771117210388},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07414478063583374},{"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3632961","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3632961","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3632961","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3632961","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3632961","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3632961","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5199999809265137,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320316680","display_name":"University of Engineering and Technology, Lahore","ror":"https://ror.org/0051w2v06"},{"id":"https://openalex.org/F4320325821","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388731371.pdf","grobid_xml":"https://content.openalex.org/works/W4388731371.grobid-xml"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W88153722","https://openalex.org/W1485110750","https://openalex.org/W1846534543","https://openalex.org/W1856966722","https://openalex.org/W1873763122","https://openalex.org/W1902016676","https://openalex.org/W1912120252","https://openalex.org/W1966644764","https://openalex.org/W1978394996","https://openalex.org/W1985511977","https://openalex.org/W1987190000","https://openalex.org/W1988680150","https://openalex.org/W1992926795","https://openalex.org/W2002469984","https://openalex.org/W2009952684","https://openalex.org/W2012277385","https://openalex.org/W2015583498","https://openalex.org/W2040228409","https://openalex.org/W2051267297","https://openalex.org/W2065240770","https://openalex.org/W2076566842","https://openalex.org/W2083287929","https://openalex.org/W2101771965","https://openalex.org/W2110096996","https://openalex.org/W2112380340","https://openalex.org/W2118375674","https://openalex.org/W2118718620","https://openalex.org/W2119874464","https://openalex.org/W2120816706","https://openalex.org/W2123820077","https://openalex.org/W2129004009","https://openalex.org/W2132538571","https://openalex.org/W2144190046","https://openalex.org/W2144351558","https://openalex.org/W2144359569","https://openalex.org/W2150102617","https://openalex.org/W2163624601","https://openalex.org/W2167094273","https://openalex.org/W2174706414","https://openalex.org/W2286320853","https://openalex.org/W2341265152","https://openalex.org/W2473418344","https://openalex.org/W2526273923","https://openalex.org/W2527559122","https://openalex.org/W2535690855","https://openalex.org/W2594311007","https://openalex.org/W2602753196","https://openalex.org/W2619351572","https://openalex.org/W2750753921","https://openalex.org/W2887231273","https://openalex.org/W2944525415","https://openalex.org/W2950943617","https://openalex.org/W2963695762","https://openalex.org/W2970408908","https://openalex.org/W2970598121","https://openalex.org/W2999905431","https://openalex.org/W3017064361","https://openalex.org/W3028131348","https://openalex.org/W3101457173","https://openalex.org/W3106094943","https://openalex.org/W3113451908","https://openalex.org/W3138815606","https://openalex.org/W4205228770","https://openalex.org/W4210461416","https://openalex.org/W4210557021","https://openalex.org/W4288358239","https://openalex.org/W4298289979","https://openalex.org/W4300636344","https://openalex.org/W6638832512","https://openalex.org/W6676639149","https://openalex.org/W6764838729"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W2146544734"],"abstract_inverted_index":{"Non-negative":[0],"matrix":[1,65],"factorization":[2,66],"is":[3],"a":[4,63,100,145],"popular":[5],"unsupervised":[6],"machine":[7],"learning":[8],"algorithm":[9,67,155],"for":[10],"extracting":[11,35],"meaningful":[12],"features":[13,37],"from":[14,38],"inherently":[15],"non-negative":[16,64],"data.":[17,40],"Such":[18],"data":[19,53],"often":[20],"contain":[21,29,56],"privacy-sensitive":[22,52],"user":[23],"information.":[24],"Additionally,":[25],"the":[26,39,69,75,80,91,105,109,116,122,150,153],"dataset":[27],"can":[28,84,143],"outliers,":[30],"which":[31],"may":[32,55],"lead":[33],"to":[34,45,88,107],"sub-optimal":[36],"It":[41],"is,":[42],"therefore,":[43],"necessary":[44],"address":[46],"these":[47],"two":[48],"issues":[49],"while":[50,160],"analyzing":[51],"that":[54,72,102,139,147],"outliers.":[57],"In":[58],"this":[59],"work,":[60],"we":[61],"develop":[62],"in":[68,79,98],"privacy-preserving":[70],"framework":[71],"(i)":[73],"considers":[74],"presence":[76],"of":[77,90,111,124,152],"outliers":[78],"data,":[81],"and":[82,132],"(ii)":[83],"achieve":[85,144],"results":[86,137],"comparable":[87],"those":[89],"non-private":[92,154],"algorithm.":[93],"We":[94,120],"design":[95],"our":[96,125,140],"method":[97,142],"such":[99],"way":[101],"one":[103],"has":[104],"control":[106],"select":[108],"degree":[110],"privacy":[112,163],"grantee":[113],"based":[114],"on":[115,129],"required":[117],"utility":[118],"gap.":[119],"show":[121,138],"effectiveness":[123],"proposed":[126,141],"algorithm\u2019s":[127],"performance":[128,146,151],"six":[130],"real":[131],"diverse":[133],"datasets.":[134],"The":[135],"experimental":[136],"closely":[148],"approximates":[149],"under":[156],"some":[157],"parameter":[158],"choices,":[159],"ensuring":[161],"strict":[162],"guarantees.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}