{"id":"https://openalex.org/W2988337058","doi":"https://doi.org/10.1145/3319535.3363226","title":"Lifelong Anomaly Detection Through Unlearning","display_name":"Lifelong Anomaly Detection Through Unlearning","publication_year":2019,"publication_date":"2019-11-06","ids":{"openalex":"https://openalex.org/W2988337058","doi":"https://doi.org/10.1145/3319535.3363226","mag":"2988337058"},"language":"en","primary_location":{"id":"doi:10.1145/3319535.3363226","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319535.3363226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security","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/A5102737328","display_name":"Min Du","orcid":"https://orcid.org/0000-0002-8277-0206"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min Du","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017769599","display_name":"Zhi Chen","orcid":"https://orcid.org/0000-0002-4734-368X"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhi Chen","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353377","display_name":"Chang Liu","orcid":"https://orcid.org/0000-0003-4959-7541"},"institutions":[{"id":"https://openalex.org/I91036609","display_name":"Citadel","ror":"https://ror.org/01vwr6t80","country_code":"US","type":"education","lineage":["https://openalex.org/I91036609"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chang Liu","raw_affiliation_strings":["Citadel Securities, Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Citadel Securities, Chicago, IL, USA","institution_ids":["https://openalex.org/I91036609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001097796","display_name":"Rajvardhan Oak","orcid":"https://orcid.org/0000-0003-1928-099X"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rajvardhan Oak","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019426968","display_name":"Dawn Song","orcid":"https://orcid.org/0000-0001-9745-6802"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dawn Song","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.9411,"has_fulltext":false,"cited_by_count":119,"citation_normalized_percentile":{"value":0.97499139,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1283","last_page":"1297"},"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":0.9997000098228455,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8788557648658752},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7305818796157837},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.6789165735244751},{"id":"https://openalex.org/keywords/lifelong-learning","display_name":"Lifelong learning","score":0.6346704959869385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5748404860496521},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5314822196960449},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5011608600616455},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45494580268859863},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.42421817779541016},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3347880244255066}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8788557648658752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7305818796157837},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6789165735244751},{"id":"https://openalex.org/C108771440","wikidata":"https://www.wikidata.org/wiki/Q368475","display_name":"Lifelong learning","level":2,"score":0.6346704959869385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5748404860496521},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5314822196960449},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5011608600616455},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45494580268859863},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.42421817779541016},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3347880244255066},{"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3319535.3363226","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319535.3363226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W182707955","https://openalex.org/W1488996941","https://openalex.org/W1498436455","https://openalex.org/W1540258466","https://openalex.org/W1545302662","https://openalex.org/W1545528966","https://openalex.org/W1554085250","https://openalex.org/W1557641794","https://openalex.org/W1673310716","https://openalex.org/W2038819732","https://openalex.org/W2039157918","https://openalex.org/W2060277733","https://openalex.org/W2064675550","https://openalex.org/W2104593144","https://openalex.org/W2122646361","https://openalex.org/W2127979711","https://openalex.org/W2143612262","https://openalex.org/W2153233077","https://openalex.org/W2155904486","https://openalex.org/W2163614729","https://openalex.org/W2170936641","https://openalex.org/W2171604933","https://openalex.org/W2186910770","https://openalex.org/W2557283755","https://openalex.org/W2560647685","https://openalex.org/W2561208905","https://openalex.org/W2583874385","https://openalex.org/W2585367509","https://openalex.org/W2743138268","https://openalex.org/W2767094836","https://openalex.org/W2786088545","https://openalex.org/W2788388592","https://openalex.org/W2806029905","https://openalex.org/W2891432086","https://openalex.org/W2902455138","https://openalex.org/W2934843808","https://openalex.org/W3100503250","https://openalex.org/W6850711755"],"related_works":["https://openalex.org/W3197982909","https://openalex.org/W4286986507","https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2143820878","https://openalex.org/W2912112202","https://openalex.org/W2667207928"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,39,53,121,208,217,230],"is":[2,55,80,153,243],"essential":[3],"towards":[4],"ensuring":[5],"system":[6,14,79,107],"security":[7],"and":[8,23,123,172,232,253],"reliability.":[9],"Powered":[10],"by":[11],"constantly":[12],"generated":[13],"data,":[15],"deep":[16,205,227],"learning":[17,228],"has":[18],"been":[19],"found":[20],"both":[21],"effective":[22],"flexible":[24],"to":[25,30,46,84,100,105,116,127,163,168,199,202,210,245],"use,":[26],"with":[27],"its":[28],"ability":[29],"extract":[31],"patterns":[32],"without":[33],"much":[34],"domain":[35],"knowledge.":[36],"Existing":[37],"anomaly":[38,89,120,207,216,229],"research":[40],"focuses":[41],"on":[42,183],"a":[43,64,135,146,150,179,196],"scenario":[44,86],"referred":[45,167],"as":[47,87,169],"zero-positive,":[48],"which":[49,139],"means":[50],"that":[51,94,239],"the":[52,78,114,118,143,240,248],"model":[54,144],"only":[56],"trained":[57],"for":[58],"normal":[59],"(i.e.,":[60],"negative)":[61],"data.":[62],"In":[63,109,131,175],"real":[65],"application":[66],"scenario,":[67],"there":[68],"may":[69],"be":[70,193,200],"additional":[71],"manually":[72],"inspected":[73],"positive":[74],"data":[75],"provided":[76],"after":[77],"deployed.":[81],"We":[82,219],"refer":[83],"this":[85,110,156,187],"lifelong":[88,119,215],"detection.":[90],"However,":[91],"we":[92,112,133,158,177],"find":[93],"existing":[95],"approaches":[96,126],"are":[97,113],"not":[98],"easy":[99],"adopt":[101],"such":[102],"new":[103],"knowledge":[104],"improve":[106],"performance.":[108],"work,":[111],"first":[115],"explore":[117],"problem,":[122],"propose":[124,134],"novel":[125,161],"handle":[128],"corresponding":[129,214],"challenges.":[130],"particular,":[132],"framework":[136,181],"called":[137],"unlearning,":[138],"can":[140,192],"effectively":[141],"correct":[142],"when":[145],"false":[147,151,251,254],"negative":[148],"(or":[149],"positive)":[152],"labeled.":[154],"To":[155],"aim,":[157],"develop":[159],"several":[160],"techniques":[162],"tackle":[164],"two":[165,224],"challenges":[166],"exploding":[170],"loss":[171],"catastrophic":[173],"forgetting.":[174],"addition,":[176],"abstract":[178],"theoretical":[180],"based":[182],"generative":[184],"models.":[185],"Under":[186],"framework,":[188],"our":[189,221],"unlearning":[190],"approach":[191,222,242],"presented":[194],"in":[195],"generic":[197],"way":[198],"applied":[201],"most":[203],"zero-positive":[204,226],"learning-based":[206],"algorithms":[209],"turn":[211],"them":[212],"into":[213],"solutions.":[218],"evaluate":[220],"using":[223],"state-of-the-art":[225],"architectures":[231],"three":[233],"real-world":[234],"tasks.":[235],"The":[236],"results":[237],"show":[238],"proposed":[241],"able":[244],"significantly":[246],"reduce":[247],"number":[249],"of":[250],"positives":[252],"negatives":[255],"through":[256],"unlearning.":[257]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":9}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}