{"id":"https://openalex.org/W4319780907","doi":"https://doi.org/10.1109/imcom56909.2023.10035610","title":"An Improved Reverse Distillation Model for Unsupervised Anomaly Detection","display_name":"An Improved Reverse Distillation Model for Unsupervised Anomaly Detection","publication_year":2023,"publication_date":"2023-01-03","ids":{"openalex":"https://openalex.org/W4319780907","doi":"https://doi.org/10.1109/imcom56909.2023.10035610"},"language":"en","primary_location":{"id":"doi:10.1109/imcom56909.2023.10035610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom56909.2023.10035610","pdf_url":null,"source":{"id":"https://openalex.org/S4363608560","display_name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","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":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","raw_type":"proceedings-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/A5000375848","display_name":"Nguyen Van Duc","orcid":"https://orcid.org/0000-0001-6613-2792"},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Nguyen Van Duc","raw_affiliation_strings":["Ho Chi Minh City University of Technology (HCMUT),Faculty of Computer Science and Engineering,Ho Chi Minh City,Vietnam","Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"Ho Chi Minh City University of Technology (HCMUT),Faculty of Computer Science and Engineering,Ho Chi Minh City,Vietnam","institution_ids":["https://openalex.org/I47265099"]},{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029916938","display_name":"Hoang Huu Bach","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Hoang Huu Bach","raw_affiliation_strings":["University of Engineering and Technology (UET),Faculty of Information Technology,Ha Noi Hanoi,Vietnam","Faculty of Information Technology, University of Engineering and Technology (UET), Ha Noi Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"University of Engineering and Technology (UET),Faculty of Information Technology,Ha Noi Hanoi,Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Faculty of Information Technology, University of Engineering and Technology (UET), Ha Noi Hanoi, Vietnam","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071064677","display_name":"Le Hong Trang","orcid":"https://orcid.org/0000-0002-6011-2261"},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Le Hong Trang","raw_affiliation_strings":["Ho Chi Minh City University of Technology (HCMUT),Faculty of Computer Science and Engineering,Ho Chi Minh City,Vietnam","Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"Ho Chi Minh City University of Technology (HCMUT),Faculty of Computer Science and Engineering,Ho Chi Minh City,Vietnam","institution_ids":["https://openalex.org/I47265099"]},{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000375848"],"corresponding_institution_ids":["https://openalex.org/I47265099"],"apc_list":null,"apc_paid":null,"fwci":0.5652,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.59292035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9955999851226807,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.8315579891204834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7177159190177917},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6678563356399536},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6561943292617798},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6255466938018799},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5621626377105713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.55141282081604},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5282356142997742},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4656428098678589},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42534881830215454},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33832603693008423},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.07641991972923279}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8315579891204834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7177159190177917},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6678563356399536},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6561943292617798},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6255466938018799},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5621626377105713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.55141282081604},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5282356142997742},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4656428098678589},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42534881830215454},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33832603693008423},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.07641991972923279},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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":1,"locations":[{"id":"doi:10.1109/imcom56909.2023.10035610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom56909.2023.10035610","pdf_url":null,"source":{"id":"https://openalex.org/S4363608560","display_name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","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":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W1970088130","https://openalex.org/W2132870739","https://openalex.org/W2599354622","https://openalex.org/W2803674491","https://openalex.org/W2809705434","https://openalex.org/W2963045681","https://openalex.org/W2987228832","https://openalex.org/W3023868590","https://openalex.org/W3034314048","https://openalex.org/W3035240825","https://openalex.org/W3092704883","https://openalex.org/W3099658315","https://openalex.org/W3101017490","https://openalex.org/W3106848223","https://openalex.org/W3160366495","https://openalex.org/W3166166117","https://openalex.org/W3169077988","https://openalex.org/W3186300274","https://openalex.org/W3208797540","https://openalex.org/W3209793239","https://openalex.org/W4212919149","https://openalex.org/W4214601425","https://openalex.org/W4298289240","https://openalex.org/W4312772600","https://openalex.org/W6751494907","https://openalex.org/W6751866786","https://openalex.org/W6777869702","https://openalex.org/W6779018880","https://openalex.org/W6785596320"],"related_works":["https://openalex.org/W1657880117","https://openalex.org/W2595172197","https://openalex.org/W2127970246","https://openalex.org/W2084856301","https://openalex.org/W1001352512","https://openalex.org/W4382618745","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W2748922771","https://openalex.org/W1987128138"],"abstract_inverted_index":{"Using":[0],"knowledge":[1,54],"distillation":[2,14,55],"for":[3,25,150],"unsupervised":[4],"anomaly":[5],"detection":[6,155],"problems":[7],"is":[8,78],"more":[9],"efficient.":[10],"Recently,":[11],"a":[12,20,68],"reverse":[13],"(RD)":[15],"model":[16,24,42,69,160],"has":[17],"been":[18],"presented":[19],"novel":[21],"teacher-student":[22],"(T-S)":[23],"the":[26,30,32,36,40,46,50,83,135,139,142,162,166,171],"problem":[27],"[7].":[28],"In":[29],"model,":[31],"student":[33,132],"network":[34],"uses":[35],"one-class":[37,71,153],"embedding":[38,73],"from":[39,121,128,138],"teacher":[41,109],"as":[43],"input":[44,87],"with":[45,57],"goal":[47],"of":[48,85,94,170],"restoring":[49],"teacher's":[51],"rep-resentations.":[52],"The":[53,108,131],"starts":[56],"high-level":[58],"abstract":[59],"presentations":[60],"and":[61,113,124,152,168],"moves":[62],"down":[63],"to":[64,116,141],"low-level":[65],"aspects":[66],"using":[67,96,105],"called":[70],"bottleneck":[72,140],"(OCBE).":[74],"Although":[75],"its":[76],"performance":[77],"expressive,":[79],"it":[80],"still":[81],"leverages":[82],"power":[84],"transforming":[86],"images":[88],"before":[89],"applying":[90],"this":[91,100],"architecture.":[92],"Instead":[93],"only":[95],"raw":[97,112,118,122,143],"images,":[98],"in":[99],"paper,":[101],"we":[102],"transform":[103],"them":[104],"augmentation":[106],"techniques.":[107],"will":[110],"encode":[111],"transformed":[114,125,129,136],"inputs":[115],"get":[117],"representation":[119,126,137],"(encoded":[120,127],"inputs)":[123],"inputs).":[130],"must":[133],"restore":[134],"representation.":[144],"Testing":[145],"results":[146],"obtained":[147],"on":[148],"benchmarks":[149],"AD":[151],"novelty":[154],"showed":[156],"that":[157],"our":[158],"proposed":[159],"outperforms":[161],"SOTA":[163],"ones,":[164],"proving":[165],"utility":[167],"applicability":[169],"suggested":[172],"strategy.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
