{"id":"https://openalex.org/W4312351164","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892879","title":"Novel Applications for VAE-based Anomaly Detection Systems","display_name":"Novel Applications for VAE-based Anomaly Detection Systems","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312351164","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892879"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892879","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11577/3500876","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036717593","display_name":"Luca Bergamin","orcid":"https://orcid.org/0000-0002-0662-7862"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Bergamin","raw_affiliation_strings":["Department of Mathematics University of Padova,Padova,Italy","Department of Mathematics University of Padova, Padova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics University of Padova,Padova,Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Mathematics University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053787134","display_name":"Tommaso Carraro","orcid":"https://orcid.org/0000-0002-3043-1456"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Tommaso Carraro","raw_affiliation_strings":["Department of Mathematics University of Padova,Padova,Italy","Department of Mathematics University of Padova, Padova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics University of Padova,Padova,Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Mathematics University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009738158","display_name":"Mirko Polato","orcid":"https://orcid.org/0000-0003-4890-5020"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mirko Polato","raw_affiliation_strings":["Department of Mathematics University of Padova,Padova,Italy","Department of Mathematics University of Padova, Padova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics University of Padova,Padova,Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Mathematics University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036243123","display_name":"Fabio Aiolli","orcid":"https://orcid.org/0000-0002-5823-7540"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Aiolli","raw_affiliation_strings":["Department of Mathematics University of Padova,Padova,Italy","Department of Mathematics University of Padova, Padova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics University of Padova,Padova,Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Mathematics University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":0.934,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.77100451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9961000084877014,"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":0.9961000084877014,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9896000027656555,"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/computer-science","display_name":"Computer science","score":0.8287070393562317},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7438350915908813},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5382134318351746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49767234921455383},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4733823835849762},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4488539695739746},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.44113051891326904},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4309196472167969},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42495304346084595},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41111457347869873},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3798702657222748},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3540831208229065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8287070393562317},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7438350915908813},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5382134318351746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49767234921455383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4733823835849762},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4488539695739746},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.44113051891326904},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4309196472167969},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42495304346084595},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41111457347869873},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3798702657222748},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3540831208229065},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892879","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:www.research.unipd.it:11577/3500876","is_oa":true,"landing_page_url":"https://hdl.handle.net/11577/3500876","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:www.research.unipd.it:11577/3500876","is_oa":true,"landing_page_url":"https://hdl.handle.net/11577/3500876","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W2188365844","https://openalex.org/W2467604901","https://openalex.org/W2577946330","https://openalex.org/W2785362611","https://openalex.org/W2788867418","https://openalex.org/W2829371370","https://openalex.org/W2890235427","https://openalex.org/W2913002991","https://openalex.org/W2963223306","https://openalex.org/W2969836179","https://openalex.org/W2970014727","https://openalex.org/W3008638899","https://openalex.org/W3098957257","https://openalex.org/W3133702157","https://openalex.org/W3153872861","https://openalex.org/W3206604724","https://openalex.org/W4245050711","https://openalex.org/W4289754569","https://openalex.org/W4320013936","https://openalex.org/W6640963894","https://openalex.org/W6687045409","https://openalex.org/W6720208624","https://openalex.org/W6732248266","https://openalex.org/W6748151623","https://openalex.org/W7016021835"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3194885736","https://openalex.org/W4363671829","https://openalex.org/W4309969736","https://openalex.org/W4394785709","https://openalex.org/W2953501176","https://openalex.org/W2965095304","https://openalex.org/W2470043383","https://openalex.org/W3034474024","https://openalex.org/W2770818364"],"abstract_inverted_index":{"Deep":[0],"generative":[1,143],"modeling":[2],"(DGM)":[3],"is":[4],"an":[5,134],"increasingly":[6],"popular":[7],"approach":[8],"that":[9,75,100,146],"can":[10,37],"create":[11],"novel":[12,67,83,98],"and":[13,41,102,123,163],"unseen":[14],"data,":[15,84],"starting":[16],"from":[17],"a":[18,66,76,97],"given":[19],"data":[20,150],"set.":[21],"As":[22],"the":[23,104,112,118,129],"technology":[24],"shows":[25,47],"promising":[26],"applications,":[27],"many":[28,125],"ethical":[29],"issues":[30,57],"also":[31,46],"arise.":[32],"For":[33],"example,":[34],"their":[35],"misuse":[36],"enable":[38],"disinformation":[39],"campaigns":[40],"powerful":[42],"phishing":[43],"attempts.":[44],"Research":[45],"different":[48],"biases":[49],"affect":[50],"deep":[51],"learning":[52],"models,":[53],"leading":[54],"to":[55,69,127],"social":[56],"such":[58,157],"as":[59,158],"misrepresentation.":[60],"In":[61],"this":[62],"work,":[63],"we":[64],"formulate":[65],"setting":[68],"deal":[70],"with":[71],"similar":[72],"problems,":[73],"showing":[74],"repurposed":[77],"anomaly":[78,109],"detection":[79],"system":[80],"effectively":[81],"generates":[82],"avoiding":[85],"generating":[86],"specified":[87],"unwanted":[88,155],"data.":[89],"We":[90,116],"propose":[91],"Variational":[92,113],"Auto-encoding":[93,105],"Binary":[94,106],"Classifiers":[95],"(V-ABC):":[96],"model":[99],"repurposes":[101],"extends":[103],"Classifier":[107],"(ABC)":[108],"detector":[110],"using":[111],"Auto-encoder":[114],"(VAE).":[115],"survey":[117],"limitations":[119],"of":[120],"existing":[121],"approaches":[122],"explore":[124],"tools":[126],"show":[128],"model's":[130],"inner":[131],"workings":[132],"in":[133],"interpretable":[135],"way.":[136],"This":[137],"proposal":[138],"has":[139],"excellent":[140],"potential":[141],"for":[142],"applications:":[144],"models":[145],"rely":[147],"on":[148],"user-generated":[149],"could":[151],"automatically":[152],"filter":[153],"out":[154],"content,":[156],"offensive":[159],"language,":[160],"obscene":[161],"images,":[162],"misleading":[164],"information.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
