{"id":"https://openalex.org/W3015964296","doi":"https://doi.org/10.1109/icassp40776.2020.9053206","title":"Mahalanobis Distance Based Adversarial Network for Anomaly Detection","display_name":"Mahalanobis Distance Based Adversarial Network for Anomaly Detection","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015964296","doi":"https://doi.org/10.1109/icassp40776.2020.9053206","mag":"3015964296"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5025934864","display_name":"Yubo Hou","orcid":"https://orcid.org/0000-0002-0084-4380"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yubo Hou","raw_affiliation_strings":["Institute for Infocomm Research, A*STAR, Connexis, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, A*STAR, Connexis, Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080343454","display_name":"Zhenghua Chen","orcid":"https://orcid.org/0000-0002-1719-0328"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhenghua Chen","raw_affiliation_strings":["Institute for Infocomm Research, A*STAR, Connexis, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, A*STAR, Connexis, Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340964","display_name":"Min Wu","orcid":"https://orcid.org/0000-0003-0977-3600"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Min Wu","raw_affiliation_strings":["Institute for Infocomm Research, A*STAR, Connexis, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, A*STAR, Connexis, Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001103949","display_name":"Chuan-Sheng Foo","orcid":"https://orcid.org/0000-0002-4748-5792"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chuan-Sheng Foo","raw_affiliation_strings":["Institute for Infocomm Research, A*STAR, Connexis, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, A*STAR, Connexis, Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418684","display_name":"Xiaoli Li","orcid":"https://orcid.org/0000-0002-0762-6562"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiaoli Li","raw_affiliation_strings":["Institute for Infocomm Research, A*STAR, Connexis, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, A*STAR, Connexis, Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026573056","display_name":"Raed M. Shubair","orcid":"https://orcid.org/0000-0002-2586-9963"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raed M. Shubair","raw_affiliation_strings":["Research Laboratory of Electronics (RLE), Massachusetts Institute of Technology (MIT), USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Laboratory of Electronics (RLE), Massachusetts Institute of Technology (MIT), USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3192","last_page":"3196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11515","display_name":"Bacillus and Francisella bacterial research","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.9509087800979614},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8145629167556763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7290603518486023},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7153682708740234},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7065727710723877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5332106351852417},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.523361325263977},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.502879798412323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4327360689640045},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.42930740118026733},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3329097330570221},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24951958656311035}],"concepts":[{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.9509087800979614},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8145629167556763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7290603518486023},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7153682708740234},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7065727710723877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5332106351852417},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.523361325263977},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.502879798412323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4327360689640045},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.42930740118026733},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3329097330570221},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24951958656311035},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2084512860","https://openalex.org/W2105497548","https://openalex.org/W2296719434","https://openalex.org/W2335728318","https://openalex.org/W2398119937","https://openalex.org/W2599354622","https://openalex.org/W2621614835","https://openalex.org/W2786088545","https://openalex.org/W2902758299","https://openalex.org/W2904996768","https://openalex.org/W2910068345","https://openalex.org/W2938337762","https://openalex.org/W2954278343","https://openalex.org/W2962808998","https://openalex.org/W2963265008","https://openalex.org/W2963344330","https://openalex.org/W2968336449","https://openalex.org/W3118608800","https://openalex.org/W3120740533","https://openalex.org/W4294568686","https://openalex.org/W6703116779","https://openalex.org/W6712574313","https://openalex.org/W6714590955","https://openalex.org/W6715501732","https://openalex.org/W6748102297","https://openalex.org/W6758101687"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,20],"techniques":[2],"are":[3,39],"very":[4],"crucial":[5],"in":[6,53],"multiple":[7],"business":[8],"applications,":[9],"such":[10],"as":[11,63],"cyber":[12],"security,":[13],"manufacturing":[14],"and":[15,28,83,99,110],"finance.":[16],"However,":[17],"developing":[18],"anomaly":[19,70],"methods":[21,97],"for":[22,69],"high-dimensional":[23,45],"data":[24,77],"with":[25],"high":[26],"speed":[27],"good":[29],"performance":[30],"is":[31],"still":[32,49],"a":[33,101],"challenge.":[34],"Generative":[35],"Adversarial":[36,66],"Networks":[37],"(GANs)":[38],"able":[40],"to":[41,107],"model":[42],"the":[43,76,88],"complex":[44],"data,":[46],"but":[47],"they":[48],"require":[50],"large":[51],"computation":[52],"inference":[54,103],"stage.":[55],"This":[56],"paper":[57],"proposes":[58],"an":[59],"efficient":[60],"method,":[61],"known":[62],"Mahalanobis":[64,89],"Distance-based":[65],"Network":[67],"(MDAN),":[68],"detection.":[71],"The":[72,91],"proposed":[73,92],"MDAN":[74,93],"models":[75],"using":[78,87],"generative":[79],"adversarial":[80],"network":[81],"(GAN)":[82],"detects":[84],"anomalies":[85],"by":[86],"distance.":[90],"outperforms":[94],"conventional":[95],"GAN-based":[96],"considerably":[98],"has":[100],"higher":[102],"speed,":[104],"when":[105],"applied":[106],"several":[108],"tabular":[109],"image":[111],"datasets.":[112]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}