{"id":"https://openalex.org/W2980688251","doi":"https://doi.org/10.1147/jrd.2019.2945519","title":"Fairness GAN: Generating datasets with fairness properties using a generative adversarial network","display_name":"Fairness GAN: Generating datasets with fairness properties using a generative adversarial network","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2980688251","doi":"https://doi.org/10.1147/jrd.2019.2945519","mag":"2980688251"},"language":"en","primary_location":{"id":"doi:10.1147/jrd.2019.2945519","is_oa":false,"landing_page_url":"https://doi.org/10.1147/jrd.2019.2945519","pdf_url":null,"source":{"id":"https://openalex.org/S4210219925","display_name":"IBM Journal of Research and Development","issn_l":"0018-8646","issn":["0018-8646","2151-8556"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320652","host_organization_name":"IBM","host_organization_lineage":["https://openalex.org/P4310320652"],"host_organization_lineage_names":["IBM"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IBM Journal of Research and Development","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/A5060534465","display_name":"Prasanna Sattigeri","orcid":"https://orcid.org/0000-0003-4435-0486"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"P. Sattigeri","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104977538","display_name":"Samuel C. Hoffman","orcid":"https://orcid.org/0009-0000-8730-2789"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. C. Hoffman","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058823844","display_name":"Vijil Chenthamarakshan","orcid":"https://orcid.org/0000-0001-7830-5777"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V. Chenthamarakshan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5015286159","display_name":"Kush R. Varshney","orcid":"https://orcid.org/0000-0002-7376-5536"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. R. Varshney","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060534465"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.438,"has_fulltext":false,"cited_by_count":134,"citation_normalized_percentile":{"value":0.97315712,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"63","issue":"4/5","first_page":"3:1","last_page":"3:9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13877","display_name":"Law in Society and Culture","score":0.9545000195503235,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7957030534744263},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7281820178031921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7239895462989807},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.7167536616325378},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6711875200271606},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5873235464096069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5144670009613037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4912962317466736},{"id":"https://openalex.org/keywords/parity","display_name":"Parity (physics)","score":0.4292859137058258},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39948010444641113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3393981456756592},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1569308042526245}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7957030534744263},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7281820178031921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7239895462989807},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7167536616325378},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6711875200271606},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5873235464096069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5144670009613037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4912962317466736},{"id":"https://openalex.org/C2777151079","wikidata":"https://www.wikidata.org/wiki/Q141160","display_name":"Parity (physics)","level":2,"score":0.4292859137058258},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39948010444641113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3393981456756592},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1569308042526245},{"id":"https://openalex.org/C109214941","wikidata":"https://www.wikidata.org/wiki/Q18334","display_name":"Particle physics","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:10.1147/jrd.2019.2945519","is_oa":false,"landing_page_url":"https://doi.org/10.1147/jrd.2019.2945519","pdf_url":null,"source":{"id":"https://openalex.org/S4210219925","display_name":"IBM Journal of Research and Development","issn_l":"0018-8646","issn":["0018-8646","2151-8556"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320652","host_organization_name":"IBM","host_organization_lineage":["https://openalex.org/P4310320652"],"host_organization_lineage_names":["IBM"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IBM Journal of Research and Development","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2060423038","https://openalex.org/W2105845572","https://openalex.org/W2116984840","https://openalex.org/W2138451337","https://openalex.org/W2194775991","https://openalex.org/W2545656684","https://openalex.org/W2547875792","https://openalex.org/W2548228487","https://openalex.org/W2552611751","https://openalex.org/W2577946330","https://openalex.org/W2618574778","https://openalex.org/W2658306063","https://openalex.org/W2725155646","https://openalex.org/W2762364541","https://openalex.org/W2770924652","https://openalex.org/W2785678896","https://openalex.org/W2787579267","https://openalex.org/W2793226029","https://openalex.org/W2810290439","https://openalex.org/W2888161220","https://openalex.org/W2904642422","https://openalex.org/W2950776302","https://openalex.org/W2962790618","https://openalex.org/W2962793481","https://openalex.org/W2963053914","https://openalex.org/W2963116854","https://openalex.org/W2963290659","https://openalex.org/W2963917042","https://openalex.org/W4295163913","https://openalex.org/W4295521014","https://openalex.org/W4298201378","https://openalex.org/W6691148622","https://openalex.org/W6729016753","https://openalex.org/W6729110096","https://openalex.org/W6729448088","https://openalex.org/W6729482032","https://openalex.org/W6729939709","https://openalex.org/W6730091202","https://openalex.org/W6732248266","https://openalex.org/W6735913928","https://openalex.org/W6738510445","https://openalex.org/W6740303850","https://openalex.org/W6748256130","https://openalex.org/W6748582592","https://openalex.org/W6748655329","https://openalex.org/W6753076217","https://openalex.org/W6779841522"],"related_works":["https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4385421777","https://openalex.org/W3178813832","https://openalex.org/W4377980832","https://openalex.org/W2971552217","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4226298148","https://openalex.org/W2972144487"],"abstract_inverted_index":{"We":[0,35],"introduce":[1],"the":[2,59,64,76,98,102],"Fairness":[3],"GAN":[4,41],"(generative":[5],"adversarial":[6],"network),":[7],"an":[8],"approach":[9],"for":[10,44,78],"generating":[11,119],"a":[12,19,37,69],"dataset":[13,70,100],"that":[14,42],"is":[15,24,86],"plausibly":[16],"similar":[17],"to":[18,29,89,96,110],"given":[20],"multimedia":[21],"dataset,":[22,63,67],"but":[23],"more":[25],"fair":[26],"with":[27,101],"respect":[28],"protected":[30],"attributes":[31],"in":[32],"decision":[33],"making.":[34],"propose":[36],"novel":[38],"auxiliary":[39],"classifier":[40],"strives":[43],"demographic":[45,112],"parity":[46,113],"or":[47],"equality":[48,115],"of":[49,71,116],"opportunity":[50,117],"and":[51,68,75,114],"show":[52],"empirical":[53],"results":[54],"on":[55],"several":[56],"datasets,":[57],"including":[58],"CelebFaces":[60],"Attributes":[61],"(CelebA)":[62],"Quick,":[65],"Draw!":[66],"soccer":[72,99],"player":[73],"images":[74],"offenses":[77],"which":[79],"they":[80],"were":[81],"called.":[82],"The":[83,107],"proposed":[84],"formulation":[85],"well":[87],"suited":[88],"absorbing":[90],"unlabeled":[91],"data;":[92],"we":[93],"leverage":[94],"this":[95],"augment":[97],"much":[103],"larger":[104],"CelebA":[105],"dataset.":[106],"methodology":[108],"tends":[109],"improve":[111],"while":[118],"plausible":[120],"images.":[121]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":3}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}