{"id":"https://openalex.org/W4211012838","doi":"https://doi.org/10.3390/sym14020347","title":"Fair Outlier Detection Based on Adversarial Representation Learning","display_name":"Fair Outlier Detection Based on Adversarial Representation Learning","publication_year":2022,"publication_date":"2022-02-09","ids":{"openalex":"https://openalex.org/W4211012838","doi":"https://doi.org/10.3390/sym14020347"},"language":"en","primary_location":{"id":"doi:10.3390/sym14020347","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14020347","pdf_url":"https://www.mdpi.com/2073-8994/14/2/347/pdf?version=1645162605","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/14/2/347/pdf?version=1645162605","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112738836","display_name":"Shu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shu Li","raw_affiliation_strings":["School of Software, Xinjiang University, Urumqi 830046, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Xinjiang University, Urumqi 830046, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020873493","display_name":"Jiong Yu","orcid":"https://orcid.org/0000-0002-9181-6720"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiong Yu","raw_affiliation_strings":["School of Information Science and Engineering, Xinjiang University, Urumqi 830046, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xinjiang University, Urumqi 830046, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069710434","display_name":"Xusheng Du","orcid":"https://orcid.org/0000-0002-3586-6926"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xusheng Du","raw_affiliation_strings":["School of Information Science and Engineering, Xinjiang University, Urumqi 830046, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xinjiang University, Urumqi 830046, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075987954","display_name":"Yi Lu","orcid":"https://orcid.org/0000-0002-4286-3109"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Lu","raw_affiliation_strings":["School of Software, Xinjiang University, Urumqi 830046, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Xinjiang University, Urumqi 830046, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035159374","display_name":"Rui Qiu","orcid":"https://orcid.org/0000-0002-3511-6164"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Qiu","raw_affiliation_strings":["School of Software, Xinjiang University, Urumqi 830046, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Xinjiang University, Urumqi 830046, China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020873493","https://openalex.org/A5112738836"],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.3979,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64817946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"14","issue":"2","first_page":"347","last_page":"347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.996999979019165,"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":0.986299991607666,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9793000221252441,"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/outlier","display_name":"Outlier","score":0.8651422262191772},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8100692629814148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7276816368103027},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6257126331329346},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6075032949447632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5490241646766663},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5466927886009216},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4261068105697632},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41431695222854614},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34093761444091797}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8651422262191772},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8100692629814148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276816368103027},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6257126331329346},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6075032949447632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5490241646766663},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5466927886009216},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4261068105697632},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41431695222854614},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34093761444091797},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym14020347","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14020347","pdf_url":"https://www.mdpi.com/2073-8994/14/2/347/pdf?version=1645162605","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:88d08a2f90ea4635af6ae94ef307e374","is_oa":true,"landing_page_url":"https://doaj.org/article/88d08a2f90ea4635af6ae94ef307e374","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 14, Iss 2, p 347 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/14/2/347/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym14020347","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry; Volume 14; Issue 2; Pages: 347","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym14020347","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14020347","pdf_url":"https://www.mdpi.com/2073-8994/14/2/347/pdf?version=1645162605","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G450270574","display_name":null,"funder_award_id":"61462079","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5238719182","display_name":null,"funder_award_id":"61862060","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7068400936","display_name":null,"funder_award_id":"61562086","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4211012838.pdf","grobid_xml":"https://content.openalex.org/works/W4211012838.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1528081447","https://openalex.org/W1588170973","https://openalex.org/W1819662813","https://openalex.org/W1882958252","https://openalex.org/W2085988980","https://openalex.org/W2158698691","https://openalex.org/W2279176662","https://openalex.org/W2483215953","https://openalex.org/W2550925836","https://openalex.org/W2599025709","https://openalex.org/W2613718673","https://openalex.org/W2620760558","https://openalex.org/W2788416960","https://openalex.org/W2949200088","https://openalex.org/W2950647762","https://openalex.org/W2960746948","https://openalex.org/W2963104135","https://openalex.org/W2963116854","https://openalex.org/W2963189767","https://openalex.org/W2964060106","https://openalex.org/W2964461202","https://openalex.org/W3034747430","https://openalex.org/W3080365325","https://openalex.org/W3090138545","https://openalex.org/W3137991047","https://openalex.org/W4220699706","https://openalex.org/W4254182148","https://openalex.org/W6638208828","https://openalex.org/W6728551298","https://openalex.org/W6759928758","https://openalex.org/W6799357018"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729"],"abstract_inverted_index":{"Outlier":[0],"detection":[1,42,74,80,191],"aims":[2],"to":[3,46,100,108,136,144,168],"identify":[4],"rare,":[5],"minority":[6,20],"objects":[7,138],"in":[8,50,122,187],"a":[9,19,127,184],"dataset":[10],"that":[11,82,96,131,166],"are":[12,44],"significantly":[13],"different":[14],"from":[15],"the":[16,35,51,62,69,88,93,101,110,114,119,123,146,169,174,189],"majority.":[17],"When":[18],"group":[21,37],"(defined":[22],"by":[23],"sensitive":[24,120],"attributes,":[25],"such":[26],"as":[27],"gender,":[28],"race,":[29],"age,":[30],"etc.)":[31],"does":[32],"not":[33],"represent":[34],"target":[36],"for":[38],"outlier":[39,41,65,73,79,142,190],"detection,":[40],"methods":[43],"likely":[45],"propagate":[47],"statistical":[48],"biases":[49],"data":[52,116,137],"and":[53,75,87,173,193],"generate":[54],"unfair":[55],"results.":[56],"Our":[57],"work":[58],"focuses":[59],"on":[60,150,158],"studying":[61],"fairness":[63,98],"of":[64,71,113,148],"detection.":[66],"We":[67,125],"characterize":[68],"properties":[70],"fair":[72],"propose":[76],"an":[77],"appropriate":[78],"method":[81,95,172,182],"combines":[83],"adversarial":[84,106],"representation":[85,112,151],"learning":[86],"LOF":[89,102,171],"algorithm":[90],"(AFLOF).":[91],"Unlike":[92],"FairLOF":[94,177],"adds":[97],"constraints":[99],"algorithm,":[103],"AFLOF":[104,181],"uses":[105],"networks":[107],"learn":[109],"optimal":[111],"original":[115],"while":[117],"hiding":[118],"attribute":[121],"data.":[124],"introduce":[126],"dynamic":[128],"weighting":[129],"module":[130],"assigns":[132],"lower":[133],"weight":[134],"values":[135],"with":[139],"higher":[140],"local":[141],"factors":[143],"eliminate":[145],"influence":[147],"outliers":[149],"learning.":[152],"Lastly,":[153],"we":[154],"conduct":[155],"comparative":[156],"experiments":[157],"six":[159],"publicly":[160],"available":[161],"datasets.":[162],"The":[163],"results":[164],"demonstrate":[165],"compared":[167],"density-based":[170],"recently":[175],"proposed":[176,180],"method,":[178],"our":[179],"has":[183],"significant":[185],"advantage":[186],"both":[188],"performance":[192],"fairness.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
