{"id":"https://openalex.org/W4389215063","doi":"https://doi.org/10.1145/3617555.3617871","title":"Automated Fairness Testing with Representative Sampling","display_name":"Automated Fairness Testing with Representative Sampling","publication_year":2023,"publication_date":"2023-12-01","ids":{"openalex":"https://openalex.org/W4389215063","doi":"https://doi.org/10.1145/3617555.3617871"},"language":"en","primary_location":{"id":"doi:10.1145/3617555.3617871","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3617555.3617871","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3617555.3617871","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th International Conference on Predictive Models and Data Analytics in Software Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3617555.3617871","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108882023","display_name":"Umutcan Karakas","orcid":null},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Umutcan Karakas","raw_affiliation_strings":["Istanbul Technical University, Istanbul, Turkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical University, Istanbul, Turkiye","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089239701","display_name":"Ay\u015fe Tosun","orcid":"https://orcid.org/0000-0003-1859-7872"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ayse Tosun","raw_affiliation_strings":["Istanbul Technical University, Istanbul, Turkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical University, Istanbul, Turkiye","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2379,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65036826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"54","last_page":"63"},"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":0.9959999918937683,"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":0.9959999918937683,"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":0.9914000034332275,"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":0.9876999855041504,"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":0.8153237104415894},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6905209422111511},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6554040908813477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5846540331840515},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5468917489051819},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.49240171909332275},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44678983092308044},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12485963106155396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09483075141906738}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8153237104415894},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6905209422111511},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6554040908813477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5846540331840515},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5468917489051819},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.49240171909332275},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44678983092308044},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12485963106155396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09483075141906738},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3617555.3617871","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3617555.3617871","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3617555.3617871","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th International Conference on Predictive Models and Data Analytics in Software Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/69635","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/69635","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1145/3617555.3617871","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3617555.3617871","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3617555.3617871","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th International Conference on Predictive Models and Data Analytics in Software Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4389215063.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1599935123","https://openalex.org/W1905902179","https://openalex.org/W1972959470","https://openalex.org/W1976709621","https://openalex.org/W2014352947","https://openalex.org/W2027805700","https://openalex.org/W2036196738","https://openalex.org/W2100960835","https://openalex.org/W2114122776","https://openalex.org/W2127271355","https://openalex.org/W2128659236","https://openalex.org/W2153663612","https://openalex.org/W2160547390","https://openalex.org/W2174068159","https://openalex.org/W2730550703","https://openalex.org/W2809701591","https://openalex.org/W2906912711","https://openalex.org/W2964116855","https://openalex.org/W2967682612","https://openalex.org/W3002398329","https://openalex.org/W3006644231","https://openalex.org/W3035547765","https://openalex.org/W3092443889","https://openalex.org/W3105507623","https://openalex.org/W3181414820","https://openalex.org/W3198357836","https://openalex.org/W4250157392","https://openalex.org/W4300853399","https://openalex.org/W6888840370","https://openalex.org/W6926258385"],"related_works":["https://openalex.org/W4232638561","https://openalex.org/W3121932492","https://openalex.org/W1997544008","https://openalex.org/W3004137470","https://openalex.org/W1607100495","https://openalex.org/W131378092","https://openalex.org/W4221140916","https://openalex.org/W1598328844","https://openalex.org/W2181942109","https://openalex.org/W2938523900"],"abstract_inverted_index":{"The":[0],"issue":[1],"of":[2,36,40,66,95,120,129,135,154],"fairness":[3,38,57,93,127,161],"testing":[4],"in":[5,54,170],"machine":[6,41,98],"learning":[7,42,99],"models":[8,23,43],"has":[9],"become":[10],"popular":[11],"due":[12],"to":[13,25,89,166],"rising":[14],"concerns":[15],"about":[16],"potential":[17],"bias":[18],"and":[19,33,59,113,124,140,159],"discrimination,":[20],"as":[21],"these":[22],"continue":[24],"permeate":[26],"end-user":[27],"applications.":[28],"However,":[29],"achieving":[30],"an":[31],"accurate":[32,56,112],"reliable":[34,114],"measurement":[35],"the":[37,63,85,92,118,126,130,133,152,160,171],"performance":[39,94,128,162],"remains":[44],"a":[45,51,96],"substantial":[46],"challenge.":[47],"Representative":[48],"sampling":[49,72,87],"plays":[50],"pivotal":[52],"role":[53],"ensuring":[55],"assessments":[58],"providing":[60],"insight":[61],"into":[62],"underlying":[64],"dynamics":[65],"data,":[67],"unlike":[68],"biased":[69],"or":[70],"random":[71],"approaches.":[73],"In":[74],"our":[75,79],"study,":[76],"we":[77],"introduce":[78],"approach,":[80],"namely":[81],"RSFair,":[82],"which":[83],"adopts":[84],"representative":[86,147],"method":[88],"comprehensively":[90],"evaluate":[91],"trained":[97],"model.":[100,131],"Our":[101],"research":[102],"findings":[103],"on":[104],"two":[105],"datasets":[106],"indicate":[107],"that":[108],"RSFair":[109,149],"yields":[110],"more":[111],"results,":[115],"thus":[116],"improving":[117],"efficiency":[119],"subsequent":[121],"search":[122],"steps,":[123],"ultimately":[125],"With":[132],"usage":[134],"Orthogonal":[136],"Matching":[137],"Pursuit":[138],"(OMP)":[139],"K-Singular":[141],"Value":[142],"Decomposition":[143],"(K-SVD)":[144],"algorithms":[145],"for":[146],"sampling,":[148],"significantly":[150],"improves":[151],"detection":[153],"discriminatory":[155],"inputs":[156],"by":[157,163],"76%":[158],"53%":[164],"compared":[165],"other":[167],"search-based":[168],"approaches":[169],"literature.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}