{"id":"https://openalex.org/W4391841407","doi":"https://doi.org/10.1007/s11063-024-11457-8","title":"Information-Minimizing Generative Adversarial Network for Fair Generation and Classification","display_name":"Information-Minimizing Generative Adversarial Network for Fair Generation and Classification","publication_year":2024,"publication_date":"2024-02-15","ids":{"openalex":"https://openalex.org/W4391841407","doi":"https://doi.org/10.1007/s11063-024-11457-8"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-024-11457-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11457-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11457-8.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11457-8.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014624765","display_name":"Qiuling Chen","orcid":"https://orcid.org/0000-0002-4675-7450"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]},{"id":"https://openalex.org/I4210132990","display_name":"State Key Laboratory of Cryptology","ror":"https://ror.org/02pn5rj08","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210132990"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiuling Chen","raw_affiliation_strings":["College of Computer and Cyber Security, Fujian Normal University, Fuzhou, 350007, China","Fujian Provincial Key Laboratory of Network Security and Cryptology, Fuzhou, 350007, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, Fujian Normal University, Fuzhou, 350007, China","institution_ids":["https://openalex.org/I111753288"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Security and Cryptology, Fuzhou, 350007, China","institution_ids":["https://openalex.org/I4210132990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073974408","display_name":"Ayong Ye","orcid":"https://orcid.org/0000-0002-2606-5406"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]},{"id":"https://openalex.org/I4210132990","display_name":"State Key Laboratory of Cryptology","ror":"https://ror.org/02pn5rj08","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210132990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ayong Ye","raw_affiliation_strings":["College of Computer and Cyber Security, Fujian Normal University, Fuzhou, 350007, China","Fujian Provincial Key Laboratory of Network Security and Cryptology, Fuzhou, 350007, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, Fujian Normal University, Fuzhou, 350007, China","institution_ids":["https://openalex.org/I111753288"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Security and Cryptology, Fuzhou, 350007, China","institution_ids":["https://openalex.org/I4210132990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100762148","display_name":"Yuexin Zhang","orcid":"https://orcid.org/0000-0002-3882-7041"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]},{"id":"https://openalex.org/I4210132990","display_name":"State Key Laboratory of Cryptology","ror":"https://ror.org/02pn5rj08","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210132990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuexin Zhang","raw_affiliation_strings":["College of Computer and Cyber Security, Fujian Normal University, Fuzhou, 350007, China","Fujian Provincial Key Laboratory of Network Security and Cryptology, Fuzhou, 350007, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, Fujian Normal University, Fuzhou, 350007, China","institution_ids":["https://openalex.org/I111753288"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Security and Cryptology, Fuzhou, 350007, China","institution_ids":["https://openalex.org/I4210132990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409547","display_name":"Jianwei Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]},{"id":"https://openalex.org/I4210132990","display_name":"State Key Laboratory of Cryptology","ror":"https://ror.org/02pn5rj08","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210132990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Chen","raw_affiliation_strings":["College of Computer and Cyber Security, Fujian Normal University, Fuzhou, 350007, China","Fujian Provincial Key Laboratory of Network Security and Cryptology, Fuzhou, 350007, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, Fujian Normal University, Fuzhou, 350007, China","institution_ids":["https://openalex.org/I111753288"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Security and Cryptology, Fuzhou, 350007, China","institution_ids":["https://openalex.org/I4210132990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091109857","display_name":"Chuan Huang","orcid":"https://orcid.org/0000-0002-5727-4112"},"institutions":[{"id":"https://openalex.org/I4210132990","display_name":"State Key Laboratory of Cryptology","ror":"https://ror.org/02pn5rj08","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210132990"]},{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Huang","raw_affiliation_strings":["College of Computer and Cyber Security, Fujian Normal University, Fuzhou, 350007, China","Fujian Provincial Key Laboratory of Network Security and Cryptology, Fuzhou, 350007, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, Fujian Normal University, Fuzhou, 350007, China","institution_ids":["https://openalex.org/I111753288"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Security and Cryptology, Fuzhou, 350007, China","institution_ids":["https://openalex.org/I4210132990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014624765"],"corresponding_institution_ids":["https://openalex.org/I111753288","https://openalex.org/I4210132990"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":3.2374,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.92117134,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"56","issue":"1","first_page":null,"last_page":null},"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":0.9969000220298767,"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":0.9969000220298767,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9957000017166138,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9613000154495239,"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/adversarial-system","display_name":"Adversarial system","score":0.7690140008926392},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.7192068099975586},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.7045249342918396},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6566756963729858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5305358171463013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5260700583457947},{"id":"https://openalex.org/keywords/complex-system","display_name":"Complex system","score":0.4519786238670349},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.12214496731758118}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7690140008926392},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.7192068099975586},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.7045249342918396},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6566756963729858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5305358171463013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5260700583457947},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.4519786238670349},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.12214496731758118}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-024-11457-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11457-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11457-8.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11063-024-11457-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11457-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11457-8.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3089220606","display_name":null,"funder_award_id":"61872090","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3314425597","display_name":null,"funder_award_id":"61872088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4654656262","display_name":null,"funder_award_id":"1972096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4778711934","display_name":null,"funder_award_id":"61771140","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5588691830","display_name":null,"funder_award_id":"61972096, 61771140, 61872088, 61872090, 61902289","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7422118533","display_name":null,"funder_award_id":"61902289","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8070036389","display_name":null,"funder_award_id":"61972096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391841407.pdf"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1726806267","https://openalex.org/W2014352947","https://openalex.org/W2050482698","https://openalex.org/W2550530154","https://openalex.org/W2963116854","https://openalex.org/W2963290659","https://openalex.org/W2966613548","https://openalex.org/W2980688251","https://openalex.org/W3007138654","https://openalex.org/W3010981289","https://openalex.org/W3120740533","https://openalex.org/W3120895209","https://openalex.org/W3123621527","https://openalex.org/W3159744177","https://openalex.org/W3165435112","https://openalex.org/W3181414820","https://openalex.org/W4289258088","https://openalex.org/W4313192898","https://openalex.org/W6600883950"],"related_works":["https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W3178813832","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2971552217","https://openalex.org/W2969215546","https://openalex.org/W3005996785","https://openalex.org/W4297411772"],"abstract_inverted_index":{"Abstract":[0],"Studies":[1],"show":[2,131],"that":[3,53],"machine":[4,86],"learning":[5,30,87],"models":[6,46,65],"trained":[7],"from":[8],"biased":[9],"data":[10,28,36,52,61],"can":[11,21,49,66,116],"discriminate":[12],"against":[13],"groups":[14],"with":[15],"certain":[16],"sensitive":[17],"attributes.":[18],"This":[19],"problem":[20],"be":[22],"mitigated":[23],"by":[24,63,88],"cleaning":[25],"the":[26,83,99,103,107,112,119,132,135],"original":[27],"or":[29],"fair":[31,60,90,124],"representations.":[32],"However,":[33],"collecting":[34],"real":[35],"in":[37,98],"real-life":[38],"is":[39,96],"extremely":[40],"time":[41],"and":[42,106,114,122],"resource-consuming,":[43],"whereas":[44],"generative":[45,64,78],"(e.g.,":[47],"GANs)":[48],"create":[50],"new":[51],"enable":[54],"more":[55],"application":[56],"scenarios.":[57],"Therefore,":[58],"utilizing":[59],"generated":[62],"benefit":[67],"various":[68,129],"downstream":[69],"tasks.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74],"propose":[75],"a":[76],"information-minimizing":[77],"adversarial":[79,109],"network":[80],"to":[81],"improve":[82],"fairness":[84],"of":[85,134],"generating":[89],"data.":[91],"An":[92],"ANOVA-based":[93],"latent":[94],"factor":[95],"constructed":[97],"input":[100],"for":[101],"reducing":[102],"accuracy":[104],"loss,":[105],"joint":[108],"training":[110],"between":[111],"generator":[113],"classifier":[115],"better":[117],"solve":[118],"indirect":[120],"discrimination":[121],"achieve":[123],"classification.":[125],"Extensive":[126],"experiments":[127],"on":[128],"environments":[130],"effectiveness":[133],"proposed":[136],"method.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}