{"id":"https://openalex.org/W4399766957","doi":"https://doi.org/10.1109/tbiom.2024.3416403","title":"Zero-Shot Demographically Unbiased Image Generation From an Existing Biased StyleGAN","display_name":"Zero-Shot Demographically Unbiased Image Generation From an Existing Biased StyleGAN","publication_year":2024,"publication_date":"2024-06-18","ids":{"openalex":"https://openalex.org/W4399766957","doi":"https://doi.org/10.1109/tbiom.2024.3416403"},"language":"en","primary_location":{"id":"doi:10.1109/tbiom.2024.3416403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbiom.2024.3416403","pdf_url":null,"source":{"id":"https://openalex.org/S4210209367","display_name":"IEEE Transactions on Biometrics Behavior and Identity Science","issn_l":"2637-6407","issn":["2637-6407"],"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 Biometrics, Behavior, and Identity Science","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/A5019742155","display_name":"A. Jain","orcid":"https://orcid.org/0009-0003-5635-0966"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anubhav Jain","raw_affiliation_strings":["Tandon School of Engineering, New York University, New York, NY, USA","Tandon School of Engineering, New York University, USA"],"raw_orcid":"https://orcid.org/0009-0003-5635-0966","affiliations":[{"raw_affiliation_string":"Tandon School of Engineering, New York University, New York, NY, USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Tandon School of Engineering, New York University, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024458228","display_name":"Rishit Dholakia","orcid":null},"institutions":[{"id":"https://openalex.org/I36672615","display_name":"Courant Institute of Mathematical Sciences","ror":"https://ror.org/037tm7f56","country_code":"US","type":"education","lineage":["https://openalex.org/I36672615","https://openalex.org/I57206974"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rishit Dholakia","raw_affiliation_strings":["Courant Institute of Mathematical Sciences, New York University, New York, NY, USA","Courant Institute of Mathematical Sciences, New York University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Courant Institute of Mathematical Sciences, New York University, New York, NY, USA","institution_ids":["https://openalex.org/I36672615","https://openalex.org/I57206974"]},{"raw_affiliation_string":"Courant Institute of Mathematical Sciences, New York University, USA","institution_ids":["https://openalex.org/I36672615","https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006172625","display_name":"Nasir Memon","orcid":"https://orcid.org/0000-0002-0103-9762"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]},{"id":"https://openalex.org/I258800397","display_name":"New York University Shanghai","ror":"https://ror.org/02vpsdb40","country_code":"CN","type":"education","lineage":["https://openalex.org/I258800397","https://openalex.org/I57206974"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nasir Memon","raw_affiliation_strings":["Computer Science, Data Science, and Engineering Department, New York University, Shanghai, China","New York University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, Data Science, and Engineering Department, New York University, Shanghai, China","institution_ids":["https://openalex.org/I141962983","https://openalex.org/I258800397"]},{"raw_affiliation_string":"New York University, Shanghai, China","institution_ids":["https://openalex.org/I258800397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077267552","display_name":"Julian Togelius","orcid":"https://orcid.org/0000-0003-3128-4598"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julian Togelius","raw_affiliation_strings":["Tandon School of Engineering, New York University, New York, NY, USA","Tandon School of Engineering, New York University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tandon School of Engineering, New York University, New York, NY, USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Tandon School of Engineering, New York University, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1645,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40835502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"6","issue":"4","first_page":"498","last_page":"514"},"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":0.9818000197410583,"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":0.9818000197410583,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.6361215710639954},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5185854434967041},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.35204142332077026},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33087772130966187}],"concepts":[{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.6361215710639954},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5185854434967041},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35204142332077026},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33087772130966187},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbiom.2024.3416403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbiom.2024.3416403","pdf_url":null,"source":{"id":"https://openalex.org/S4210209367","display_name":"IEEE Transactions on Biometrics Behavior and Identity Science","issn_l":"2637-6407","issn":["2637-6407"],"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 Biometrics, Behavior, and Identity Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G752616943","display_name":"SaTC: CORE: Small: Dictionary Attacks on Biometrics","funder_award_id":"1956200","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W2404498690","https://openalex.org/W2592232824","https://openalex.org/W2663800299","https://openalex.org/W2744999500","https://openalex.org/W2914805061","https://openalex.org/W2939645724","https://openalex.org/W2954884160","https://openalex.org/W2962770929","https://openalex.org/W2963116854","https://openalex.org/W2963350032","https://openalex.org/W2963626105","https://openalex.org/W2963839617","https://openalex.org/W2969985801","https://openalex.org/W2982232682","https://openalex.org/W2990751682","https://openalex.org/W3009585283","https://openalex.org/W3023702633","https://openalex.org/W3034256900","https://openalex.org/W3034431451","https://openalex.org/W3035574324","https://openalex.org/W3109224353","https://openalex.org/W3109496323","https://openalex.org/W3120485916","https://openalex.org/W3138053481","https://openalex.org/W3168398407","https://openalex.org/W3174089550","https://openalex.org/W3175998650","https://openalex.org/W3185929652","https://openalex.org/W3190939658","https://openalex.org/W3199528201","https://openalex.org/W4206097581","https://openalex.org/W4283795227","https://openalex.org/W4312294878","https://openalex.org/W4312402191","https://openalex.org/W4313117512","https://openalex.org/W4315706086","https://openalex.org/W4316924455","https://openalex.org/W4320063407","https://openalex.org/W4320900831","https://openalex.org/W4321455415","https://openalex.org/W4386083096","https://openalex.org/W4390190198","https://openalex.org/W4392411859","https://openalex.org/W4392411947","https://openalex.org/W4392411993","https://openalex.org/W6637127909","https://openalex.org/W6638046521","https://openalex.org/W6744072679","https://openalex.org/W6764045775","https://openalex.org/W6846386279"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2366718574"],"abstract_inverted_index":{"Face":[0],"recognition":[1,27,143],"systems":[2,146],"have":[3,28,67,152],"made":[4,153],"significant":[5],"strides":[6],"thanks":[7],"to":[8,108,160,163],"data-heavy":[9],"deep":[10],"learning":[11],"models,":[12,45],"but":[13],"these":[14],"models":[15],"rely":[16],"on":[17,101],"large":[18,126],"privacy-sensitive":[19],"datasets.":[20],"Recent":[21],"work":[22],"in":[23,49,60],"facial":[24,142],"analysis":[25,145],"and":[26,39,54,70,113,121,134,144],"thus":[29],"started":[30],"making":[31],"use":[32],"of":[33,51,115,130,141],"synthetic":[34],"datasets":[35],"generated":[36],"from":[37,85],"GANs":[38],"diffusion":[40],"based":[41],"generative":[42,88],"models.":[43],"These":[44],"however,":[46],"lack":[47],"fairness":[48],"terms":[50],"demographic":[52,116],"representation":[53],"can":[55,66],"introduce":[56],"the":[57,61,102,139],"same":[58],"biases":[59],"trained":[62,100],"downstream":[63],"tasks.":[64],"This":[65],"serious":[68],"societal":[69],"security":[71],"implications.":[72],"To":[73],"address":[74],"this":[75],"issue,":[76],"we":[77],"propose":[78],"a":[79,86,125],"methodology":[80],"that":[81,136],"generates":[82],"unbiased":[83],"data":[84,110],"biased":[87],"model":[89,99],"using":[90],"an":[91],"evolutionary":[92],"algorithm.":[93],"We":[94,123,151],"show":[95,135],"results":[96],"for":[97,111],"StyleGAN2":[98],"Flicker":[103],"Faces":[104],"High":[105],"Quality":[106],"dataset":[107,129],"generate":[109,124],"singular":[112],"combinations":[114],"attributes":[117],"such":[118],"as":[119],"Black":[120],"Woman.":[122],"racially":[127],"balanced":[128],"13.5":[131],"million":[132],"images,":[133],"it":[137],"boosts":[138],"performance":[140],"whilst":[147],"reducing":[148],"their":[149],"biases.":[150],"our":[154,165],"code-base":[155],"(<uri":[156],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[157],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/anubhav1997/youneednodataset</uri>)":[158],"public":[159],"allow":[161],"researchers":[162],"reproduce":[164],"work.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}