{"id":"https://openalex.org/W4394994643","doi":"https://doi.org/10.1109/tnnls.2024.3384181","title":"MultiFair: Model Fairness With Multiple Sensitive Attributes","display_name":"MultiFair: Model Fairness With Multiple Sensitive Attributes","publication_year":2024,"publication_date":"2024-04-22","ids":{"openalex":"https://openalex.org/W4394994643","doi":"https://doi.org/10.1109/tnnls.2024.3384181","pmid":"https://pubmed.ncbi.nlm.nih.gov/38648122"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3384181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3384181","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100701226","display_name":"Huan Tian","orcid":"https://orcid.org/0000-0003-2763-8314"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Huan Tian","raw_affiliation_strings":["Centre for Cyber Security and Privacy and the School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0003-2763-8314","affiliations":[{"raw_affiliation_string":"Centre for Cyber Security and Privacy and the School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461646","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0002-3603-6617"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["Centre for Cyber Security and Privacy and the School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-3603-6617","affiliations":[{"raw_affiliation_string":"Centre for Cyber Security and Privacy and the School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036801346","display_name":"Tianqing Zhu","orcid":"https://orcid.org/0000-0003-3411-7947"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Tianqing Zhu","raw_affiliation_strings":["Faculty of Data Science, City University of Macau, Taipa, Macau","City University of Macau, Faculty of Data Science, Macau, Macau"],"raw_orcid":"https://orcid.org/0000-0003-3411-7947","affiliations":[{"raw_affiliation_string":"Faculty of Data Science, City University of Macau, Taipa, Macau","institution_ids":["https://openalex.org/I204512498","https://openalex.org/I6469544"]},{"raw_affiliation_string":"City University of Macau, Faculty of Data Science, Macau, Macau","institution_ids":["https://openalex.org/I6469544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051406984","display_name":"Wanlei Zhou","orcid":"https://orcid.org/0000-0002-1680-2521"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Wanlei Zhou","raw_affiliation_strings":["Faculty of Data Science, City University of Macau, Taipa, Macau","City University of Macau, Faculty of Data Science, Macau, Macau"],"raw_orcid":"https://orcid.org/0000-0002-1680-2521","affiliations":[{"raw_affiliation_string":"Faculty of Data Science, City University of Macau, Taipa, Macau","institution_ids":["https://openalex.org/I204512498","https://openalex.org/I6469544"]},{"raw_affiliation_string":"City University of Macau, Faculty of Data Science, Macau, Macau","institution_ids":["https://openalex.org/I6469544"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0000-0002-3491-5968","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8137,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93870997,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"36","issue":"3","first_page":"5654","last_page":"5667"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9700000286102295,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9603000283241272,"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":0.79189133644104},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.625403642654419},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5559955835342407},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5287677049636841},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.48219671845436096},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48019540309906006},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4787963330745697},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4291665256023407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3262961804866791},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.093539297580719}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.79189133644104},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.625403642654419},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5559955835342407},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5287677049636841},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.48219671845436096},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48019540309906006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4787963330745697},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4291665256023407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3262961804866791},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.093539297580719},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3384181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3384181","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38648122","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38648122","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1686827627","display_name":"Deep Learning Attacks and Active Defences: A Cybersecurity Perspective","funder_award_id":"DP230100246","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G21666887","display_name":null,"funder_award_id":"III2106758","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5705407431","display_name":null,"funder_award_id":"POSE\u20102346158","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6890243161","display_name":"Balance and reinforcement: privacy and fairness in high intelligence models","funder_award_id":"DP240100955","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2100960835","https://openalex.org/W2131953535","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2765407302","https://openalex.org/W2943927551","https://openalex.org/W2989701728","https://openalex.org/W3015353979","https://openalex.org/W3034256900","https://openalex.org/W3034521057","https://openalex.org/W3034700241","https://openalex.org/W3034856281","https://openalex.org/W3035335952","https://openalex.org/W3092541244","https://openalex.org/W3092661284","https://openalex.org/W3097489012","https://openalex.org/W3100906513","https://openalex.org/W3108091790","https://openalex.org/W3110114991","https://openalex.org/W3120485916","https://openalex.org/W3168398407","https://openalex.org/W3175129878","https://openalex.org/W3175998650","https://openalex.org/W3177888841","https://openalex.org/W3181414820","https://openalex.org/W3187567282","https://openalex.org/W3189951784","https://openalex.org/W3208128575","https://openalex.org/W4200394902","https://openalex.org/W4286893676","https://openalex.org/W4291804750","https://openalex.org/W4297775537","https://openalex.org/W4312332237","https://openalex.org/W4320024232","https://openalex.org/W4379767400","https://openalex.org/W6637373629","https://openalex.org/W6684072790","https://openalex.org/W6728551298","https://openalex.org/W6737664043","https://openalex.org/W6746225964","https://openalex.org/W6760184523","https://openalex.org/W6762139531","https://openalex.org/W6762534589","https://openalex.org/W6762975820","https://openalex.org/W6763088173","https://openalex.org/W6776039147","https://openalex.org/W6784451883","https://openalex.org/W6784808856","https://openalex.org/W6786339411","https://openalex.org/W6787245701","https://openalex.org/W6790608362","https://openalex.org/W6798345263","https://openalex.org/W6799963596","https://openalex.org/W6839799705","https://openalex.org/W6981826639"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2062212388"],"abstract_inverted_index":{"While":[0],"existing":[1],"fairness":[2,53,170],"interventions":[3],"show":[4],"promise":[5],"in":[6,122],"mitigating":[7],"biased":[8],"predictions,":[9],"most":[10],"studies":[11],"concentrate":[12],"on":[13],"single-attribute":[14],"protections.":[15],"Although":[16],"a":[17,66],"few":[18],"methods":[19],"consider":[20,46],"multiple":[21,154,173],"attributes,":[22],"they":[23,45],"either":[24],"require":[25],"additional":[26],"constraints":[27],"or":[28,35],"prediction":[29,115,178],"heads,":[30],"incurring":[31],"high":[32],"computational":[33],"overhead":[34],"jeopardizing":[36],"the":[37,40,82,110,164],"stability":[38],"of":[39],"training":[41,124,148],"process.":[42],"More":[43],"critically,":[44],"per-attribute":[47],"protection":[48],"approaches,":[49],"raising":[50],"concerns":[51],"about":[52],"gerrymandering":[54],"where":[55],"certain":[56],"attribute":[57],"combinations":[58],"remain":[59],"unfair.":[60],"This":[61],"work":[62],"aims":[63],"to":[64,97,113,158],"construct":[65],"neutral":[67],"domain":[68],"containing":[69],"fused":[70,83,101],"information":[71,87,137],"across":[72,139],"all":[73,89],"subgroups":[74],"and":[75,156],"attributes.":[76,91],"It":[77],"delivers":[78],"fair":[79],"predictions":[80],"as":[81],"input":[84],"contains":[85],"neutralized":[86],"for":[88,147,172],"considered":[90],"Specifically,":[92],"we":[93,129],"adopt":[94],"mixup":[95,119,133],"operations":[96,111,120],"generate":[98],"samples":[99],"with":[100,153],"information.":[102],"However,":[103],"our":[104],"experiments":[105,152],"reveal":[106],"that":[107,135,163],"directly":[108],"adopting":[109],"leads":[112],"degraded":[114],"results.":[116,179],"The":[117],"excessive":[118],"result":[121],"unrecognizable":[123],"data.":[125],"To":[126],"this":[127],"end,":[128],"design":[130],"three":[131],"distinct":[132,143],"schemes":[134],"balance":[136],"fusion":[138],"attributes":[140,161,174],"while":[141,175],"retaining":[142],"visual":[144],"features":[145],"critical":[146],"valid":[149,177],"models.":[150],"Extensive":[151],"datasets":[155],"up":[157],"eight":[159],"sensitive":[160],"demonstrate":[162],"proposed":[165],"MultiFair":[166],"method":[167],"can":[168],"deliver":[169],"protections":[171],"maintaining":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
