{"id":"https://openalex.org/W4398226253","doi":"https://doi.org/10.1109/tkde.2024.3404027","title":"Anomaly Detection Under Contaminated Data With Contamination-Immune Bidirectional GANs","display_name":"Anomaly Detection Under Contaminated Data With Contamination-Immune Bidirectional GANs","publication_year":2024,"publication_date":"2024-05-22","ids":{"openalex":"https://openalex.org/W4398226253","doi":"https://doi.org/10.1109/tkde.2024.3404027"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2024.3404027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3404027","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5043729465","display_name":"Qinliang Su","orcid":"https://orcid.org/0000-0002-5903-2504"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinliang Su","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5903-2504","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066652469","display_name":"Bowen Tian","orcid":"https://orcid.org/0000-0003-1945-9631"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Tian","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1945-9631","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027600524","display_name":"Hai Wan","orcid":"https://orcid.org/0000-0001-5357-9130"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Wan","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5357-9130","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017205177","display_name":"Jian Yin","orcid":"https://orcid.org/0000-0002-1214-5384"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yin","raw_affiliation_strings":["Scool of Artificial Intelligence, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1214-5384","affiliations":[{"raw_affiliation_string":"Scool of Artificial Intelligence, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":2.5006,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.90322693,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"36","issue":"11","first_page":"5605","last_page":"5620"},"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9678999781608582,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9197999835014343,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/contamination","display_name":"Contamination","score":0.8342165946960449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7361921072006226},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6862283945083618},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37293267250061035}],"concepts":[{"id":"https://openalex.org/C112570922","wikidata":"https://www.wikidata.org/wiki/Q60528603","display_name":"Contamination","level":2,"score":0.8342165946960449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7361921072006226},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6862283945083618},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37293267250061035},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2024.3404027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3404027","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G1232371104","display_name":null,"funder_award_id":"62276280","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5927628380","display_name":null,"funder_award_id":"23ptpy78","funder_id":"https://openalex.org/F4320321160","funder_display_name":"Sun Yat-sen University"},{"id":"https://openalex.org/G6840496190","display_name":null,"funder_award_id":"U1811264","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7276073139","display_name":null,"funder_award_id":"2021A1515012299","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321160","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1970088130","https://openalex.org/W2001080026","https://openalex.org/W2084512860","https://openalex.org/W2122646361","https://openalex.org/W2132870739","https://openalex.org/W2136655611","https://openalex.org/W2204904589","https://openalex.org/W2278186031","https://openalex.org/W2340896621","https://openalex.org/W2593414223","https://openalex.org/W2621614835","https://openalex.org/W2743138268","https://openalex.org/W2810818658","https://openalex.org/W2901866350","https://openalex.org/W2902758299","https://openalex.org/W2949848919","https://openalex.org/W2963045681","https://openalex.org/W2963049059","https://openalex.org/W2978971541","https://openalex.org/W2987228832","https://openalex.org/W3032026348","https://openalex.org/W3089028909","https://openalex.org/W3118895125","https://openalex.org/W3129166376","https://openalex.org/W3153872861","https://openalex.org/W3166159471","https://openalex.org/W3169077988","https://openalex.org/W3184778778","https://openalex.org/W3200294812","https://openalex.org/W4212774754","https://openalex.org/W4284702241","https://openalex.org/W4285602147","https://openalex.org/W4365790188","https://openalex.org/W4367016885","https://openalex.org/W4376121550","https://openalex.org/W4385568255","https://openalex.org/W4386075649","https://openalex.org/W6631190155","https://openalex.org/W6712574313","https://openalex.org/W6714590955","https://openalex.org/W6714644935","https://openalex.org/W6715501732","https://openalex.org/W6720067423","https://openalex.org/W6733471323","https://openalex.org/W6740276337","https://openalex.org/W6741832134","https://openalex.org/W6744241929","https://openalex.org/W6744336401","https://openalex.org/W6748102297","https://openalex.org/W6751494907","https://openalex.org/W6751866786","https://openalex.org/W6753048842","https://openalex.org/W6761299148","https://openalex.org/W6763324549","https://openalex.org/W6767475296","https://openalex.org/W6771795890","https://openalex.org/W6780874654","https://openalex.org/W6792111848","https://openalex.org/W6810366086","https://openalex.org/W7016021835"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4246525302","https://openalex.org/W2355749553","https://openalex.org/W2327028314","https://openalex.org/W2070278412","https://openalex.org/W281735054","https://openalex.org/W2565462584","https://openalex.org/W2390279801","https://openalex.org/W4249711192"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1],"aims":[2],"to":[3,13,39,102,139,149,167],"detect":[4,40,103,168],"instances":[5],"that":[6,58,70,181],"deviate":[7],"significantly":[8,97,191],"from":[9,127,155],"the":[10,14,29,44,81,90,93,99,121,141,145,150,156,159,172,182,186,193],"majority.":[11],"Due":[12],"difficulties":[15],"of":[16,21,31,46,74,124,144,152],"collecting":[17,54],"a":[18,32,55,71,86,128],"large":[19],"amount":[20,73],"anomalies":[22,41,75,169],"in":[23,85,92],"practice,":[24],"existing":[25],"methods":[26],"generally":[27],"assume":[28],"availability":[30],"clean":[33,61],"normal":[34,47,56,82,94,125],"dataset":[35,57,95,130],"and":[36],"leverage":[37],"it":[38],"by":[42],"characterizing":[43],"normality":[45],"samples.":[48],"However,":[49],"for":[50,171],"many":[51],"application":[52],"scenarios,":[53],"is":[59,62,66,69],"sufficiently":[60],"not":[63],"easy.":[64],"What":[65],"often":[67,77],"observed":[68],"small":[72],"are":[76,116,137],"falsely":[78],"mixed":[79],"into":[80],"dataset,":[83],"resulting":[84],"contaminated":[87,129,175,196],"dataset.":[88],"Obviously,":[89],"contamination":[91,157],"could":[96],"compromise":[98],"model's":[100],"ability":[101],"anomalies.":[104],"To":[105],"alleviate":[106],"this":[107],"issue,":[108],"two":[109],"contamination-immune":[110,161],"bidirectional":[111],"generative":[112],"adversarial":[113],"networks":[114],"(BiGAN)":[115],"developed,":[117],"which":[118],"can":[119,163],"learn":[120],"probability":[122],"distribution":[123],"samples":[126],"under":[131,192],"some":[132],"mild":[133],"conditions.":[134],"Rigorous":[135],"proofs":[136],"provided":[138],"guarantee":[140],"theoretical":[142],"correctness":[143],"proposed":[146,160,183],"models.":[147],"Thanks":[148],"removing":[151],"negative":[153],"influences":[154],"samples,":[158],"models":[162],"thus":[164],"be":[165],"applied":[166],"accurately":[170],"scenarios":[173,194],"with":[174,195],"datasets.":[176,198],"Extensive":[177],"experimental":[178],"results":[179],"show":[180],"method":[184],"outperforms":[185],"current":[187],"state-of-the-art":[188],"(SOTA)":[189],"ones":[190],"training":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
