{"id":"https://openalex.org/W4310977897","doi":"https://doi.org/10.1109/icpr56361.2022.9956420","title":"Anomaly Detection via Learnable Pretext Task","display_name":"Anomaly Detection via Learnable Pretext Task","publication_year":2022,"publication_date":"2022-08-21","ids":{"openalex":"https://openalex.org/W4310977897","doi":"https://doi.org/10.1109/icpr56361.2022.9956420"},"language":"en","primary_location":{"id":"doi:10.1109/icpr56361.2022.9956420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956420","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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 26th International Conference on Pattern Recognition (ICPR)","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/A5086724094","display_name":"Loic Jezequel","orcid":"https://orcid.org/0000-0002-4896-0081"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I86175216","display_name":"\u00c9cole Nationale Sup\u00e9rieure de l'\u00c9lectronique et de ses Applications","ror":"https://ror.org/03qeacd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I86175216"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Loic Jezequel","raw_affiliation_strings":["ETIS UMR 8051 (CY Cergy Paris Universit&#x00E9;, ENSEA, CNRS),F-95000","Idemia Identity & Security, Osny, France"],"affiliations":[{"raw_affiliation_string":"ETIS UMR 8051 (CY Cergy Paris Universit&#x00E9;, ENSEA, CNRS),F-95000","institution_ids":["https://openalex.org/I86175216","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Idemia Identity & Security, Osny, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044294351","display_name":"Ngoc\u2010Son Vu","orcid":"https://orcid.org/0000-0003-3498-3335"},"institutions":[{"id":"https://openalex.org/I86175216","display_name":"\u00c9cole Nationale Sup\u00e9rieure de l'\u00c9lectronique et de ses Applications","ror":"https://ror.org/03qeacd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I86175216"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ngoc-Son Vu","raw_affiliation_strings":["ETIS UMR 8051 (CY Cergy Paris Universit&#x00E9;, ENSEA, CNRS),F-95000"],"affiliations":[{"raw_affiliation_string":"ETIS UMR 8051 (CY Cergy Paris Universit&#x00E9;, ENSEA, CNRS),F-95000","institution_ids":["https://openalex.org/I86175216","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065249088","display_name":"Jean Beaudet","orcid":"https://orcid.org/0000-0002-7242-5986"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jean Beaudet","raw_affiliation_strings":["Idemia Identity &amp; Security,Osny,France,95520"],"affiliations":[{"raw_affiliation_string":"Idemia Identity &amp; Security,Osny,France,95520","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010747345","display_name":"Aymeric Histace","orcid":"https://orcid.org/0000-0002-3029-4412"},"institutions":[{"id":"https://openalex.org/I86175216","display_name":"\u00c9cole Nationale Sup\u00e9rieure de l'\u00c9lectronique et de ses Applications","ror":"https://ror.org/03qeacd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I86175216"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Aymeric Histace","raw_affiliation_strings":["ETIS UMR 8051 (CY Cergy Paris Universit&#x00E9;, ENSEA, CNRS),F-95000"],"affiliations":[{"raw_affiliation_string":"ETIS UMR 8051 (CY Cergy Paris Universit&#x00E9;, ENSEA, CNRS),F-95000","institution_ids":["https://openalex.org/I86175216","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086724094"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I86175216"],"apc_list":null,"apc_paid":null,"fwci":0.2088,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.43525733,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1178","last_page":"1185"},"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":0.9995999932289124,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pretext","display_name":"Pretext","score":0.9793378114700317},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7160983681678772},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6931846141815186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6681479811668396},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6376460194587708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5301448106765747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4049485921859741},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13435444235801697}],"concepts":[{"id":"https://openalex.org/C2779627259","wikidata":"https://www.wikidata.org/wiki/Q779763","display_name":"Pretext","level":3,"score":0.9793378114700317},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7160983681678772},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6931846141815186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6681479811668396},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6376460194587708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5301448106765747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4049485921859741},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13435444235801697},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr56361.2022.9956420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956420","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03737352v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03737352","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Pattern Recognition, IAPR ; IEEE, Aug 2022, Montreal, Canada","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":88,"referenced_works":["https://openalex.org/W104184427","https://openalex.org/W343636949","https://openalex.org/W2095705004","https://openalex.org/W2105497548","https://openalex.org/W2108501770","https://openalex.org/W2128409098","https://openalex.org/W2130859329","https://openalex.org/W2143559571","https://openalex.org/W2144796873","https://openalex.org/W2296719434","https://openalex.org/W2321533354","https://openalex.org/W2326925005","https://openalex.org/W2599354622","https://openalex.org/W2750384547","https://openalex.org/W2785325870","https://openalex.org/W2895954359","https://openalex.org/W2907590464","https://openalex.org/W2946566846","https://openalex.org/W2949736877","https://openalex.org/W2951394837","https://openalex.org/W2951883849","https://openalex.org/W2953292726","https://openalex.org/W2954540134","https://openalex.org/W2963045681","https://openalex.org/W2963049059","https://openalex.org/W2963263347","https://openalex.org/W2963420272","https://openalex.org/W2964137095","https://openalex.org/W2970946347","https://openalex.org/W2981729460","https://openalex.org/W2995326584","https://openalex.org/W3005680577","https://openalex.org/W3006520502","https://openalex.org/W3006797839","https://openalex.org/W3009705522","https://openalex.org/W3009726326","https://openalex.org/W3021561894","https://openalex.org/W3034997474","https://openalex.org/W3043138801","https://openalex.org/W3058842179","https://openalex.org/W3099395222","https://openalex.org/W3114010851","https://openalex.org/W3118608800","https://openalex.org/W3134652006","https://openalex.org/W3146366485","https://openalex.org/W3159581073","https://openalex.org/W3166166117","https://openalex.org/W3168644990","https://openalex.org/W3177448309","https://openalex.org/W3185486439","https://openalex.org/W3216191964","https://openalex.org/W4287262235","https://openalex.org/W4288024778","https://openalex.org/W4288335160","https://openalex.org/W4307590937","https://openalex.org/W4310390281","https://openalex.org/W4313188881","https://openalex.org/W6604254268","https://openalex.org/W6674330103","https://openalex.org/W6675944832","https://openalex.org/W6700872662","https://openalex.org/W6701655646","https://openalex.org/W6726497184","https://openalex.org/W6735108248","https://openalex.org/W6743688258","https://openalex.org/W6747899497","https://openalex.org/W6751917112","https://openalex.org/W6757615711","https://openalex.org/W6759230470","https://openalex.org/W6762924995","https://openalex.org/W6763324549","https://openalex.org/W6763882748","https://openalex.org/W6765696844","https://openalex.org/W6770295085","https://openalex.org/W6771795890","https://openalex.org/W6771821645","https://openalex.org/W6773886971","https://openalex.org/W6774314701","https://openalex.org/W6774321293","https://openalex.org/W6780874654","https://openalex.org/W6787972765","https://openalex.org/W6789731502","https://openalex.org/W6791742336","https://openalex.org/W6794767641","https://openalex.org/W6796246272","https://openalex.org/W6796439525","https://openalex.org/W6797773757","https://openalex.org/W6804672490"],"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/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"Deep":[0],"anomaly":[1,37,140,157],"detection":[2,158],"has":[3,15],"become":[4],"over":[5],"the":[6,22,27,45,61,84,111,120],"years":[7],"an":[8,52],"appealing":[9],"solution":[10],"in":[11,75],"many":[12,17],"fields,":[13],"and":[14,50,137,162],"seen":[16],"recent":[18],"developments.":[19],"One":[20],"of":[21,29,47,64,72,86],"most":[23],"promising":[24],"avenues":[25],"is":[26,42,77,95,110],"use":[28],"pretext":[30,65,88,92],"tasks,":[31,89],"which":[32,74],"have":[33],"greatly":[34,138],"improved":[35],"one-class":[36],"detection.":[38,141,166],"However":[39],"this":[40,80,116],"approach":[41],"limited":[43],"by":[44,67],"lack":[46],"anomalous":[48],"samples":[49,101],"carries":[51],"important":[53],"inductive":[54],"bias.":[55],"Indeed":[56],"we":[57,82],"could":[58],"further":[59],"improve":[60],"discrimination":[62],"power":[63],"tasks":[66],"incorporating":[68],"a":[69,91,124],"small":[70],"set":[71],"anomalies,":[73],"practice":[76],"often":[78],"available.To":[79],"end,":[81],"introduce":[83],"concept":[85],"learnable":[87,121],"where":[90],"task":[93,122],"itself":[94],"learned":[96],"to":[97,114,147],"succeed":[98],"on":[99,104,123,155],"normal":[100],"while":[102],"failing":[103],"anomalies.":[105],"To":[106],"our":[107,130],"knowledge":[108],"it":[109],"first":[112],"work":[113],"explore":[115],"direction.":[117],"By":[118],"applying":[119],"thin":[125],"plate":[126],"transform":[127],"recognition":[128],"task,":[129],"method":[131],"helps":[132],"discriminating":[133],"harder":[134],"edge-case":[135],"anomalies":[136],"improves":[139],"It":[142],"outperforms":[143],"state-of-the-art":[144],"with":[145,153],"up":[146],"49%":[148],"relative":[149],"error":[150],"reduction":[151],"measured":[152],"AUROC":[154],"various":[156],"problems":[159],"including":[160],"one-vs-all":[161],"face":[163],"presentation":[164],"attack":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
