{"id":"https://openalex.org/W4408897034","doi":"https://doi.org/10.1109/icmlc63072.2024.10935063","title":"Selective Forgetting in Task-Progressive Learning Through Machine Unlearning","display_name":"Selective Forgetting in Task-Progressive Learning Through Machine Unlearning","publication_year":2024,"publication_date":"2024-09-20","ids":{"openalex":"https://openalex.org/W4408897034","doi":"https://doi.org/10.1109/icmlc63072.2024.10935063"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc63072.2024.10935063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc63072.2024.10935063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5103140585","display_name":"Rupesh Raj Karn","orcid":"https://orcid.org/0009-0008-3774-7016"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rupesh Raj Karn","raw_affiliation_strings":["New York University,Center for Cyber Security,Abu Dhabi,UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,Center for Cyber Security,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052751303","display_name":"Johann Knechtel","orcid":"https://orcid.org/0000-0001-5093-2939"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Johann Knechtel","raw_affiliation_strings":["New York University,Center for Cyber Security,Abu Dhabi,UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,Center for Cyber Security,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059987567","display_name":"Ozgur Sinanoglu","orcid":"https://orcid.org/0000-0003-0782-0397"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ozgur Sinanoglu","raw_affiliation_strings":["New York University,Center for Cyber Security,Abu Dhabi,UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,Center for Cyber Security,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24745963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"77","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.8830000162124634,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.8830000162124634,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.8065749406814575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.675512969493866},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6615685224533081},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5048614144325256},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.37159639596939087},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.34004098176956177},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3308403491973877},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.28681880235671997},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21522089838981628},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13630205392837524}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.8065749406814575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.675512969493866},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6615685224533081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5048614144325256},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37159639596939087},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.34004098176956177},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3308403491973877},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.28681880235671997},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21522089838981628},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13630205392837524},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc63072.2024.10935063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc63072.2024.10935063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2473930607","https://openalex.org/W2788388592","https://openalex.org/W2963588172","https://openalex.org/W2970700895","https://openalex.org/W3010216907","https://openalex.org/W3035644192","https://openalex.org/W3049407547","https://openalex.org/W3187088106","https://openalex.org/W3203064512","https://openalex.org/W4230172274","https://openalex.org/W4312931030","https://openalex.org/W4366371549","https://openalex.org/W4379652910","https://openalex.org/W4390120112","https://openalex.org/W6741217325","https://openalex.org/W6751907932"],"related_works":["https://openalex.org/W4289718052","https://openalex.org/W2164121020","https://openalex.org/W2145559838","https://openalex.org/W2905319430","https://openalex.org/W3116498279","https://openalex.org/W4287549553","https://openalex.org/W4310285384","https://openalex.org/W3183027292","https://openalex.org/W3196817267","https://openalex.org/W1976600725"],"abstract_inverted_index":{"Task-progressive":[0],"learning":[1,48],"(TPL)":[2],"entails":[3],"training":[4],"a":[5],"model":[6,26],"sequentially":[7],"on":[8],"multiple":[9],"tasks":[10,20,33,149],"while":[11,156],"mitigating":[12],"the":[13,63,108,118,128,143,158,168],"phenomenon":[14],"of":[15,65,160],"\u201ccatastrophic":[16],"forgetting\u201d,":[17],"where":[18],"new":[19],"erase":[21],"previously":[22],"learned":[23,89],"knowledge.":[24],"ATPL":[25],"can":[27,139],"face":[28],"security":[29],"challenges,":[30],"as":[31],"some":[32],"are":[34],"affected":[35],"by":[36,50,90,113,151],"so-called":[37],"backdoors":[38],"and":[39,80,153],"adversarial":[40,154],"attacks.":[41,73,130],"These":[42],"attacks":[43,155],"exploit":[44],"vulnerabilities":[45],"in":[46,68,100,123],"machine":[47,66,121],"models":[49,145],"implanting":[51],"malicious":[52],"triggers":[53],"or":[54],"perturbing":[55],"inputs":[56],"to":[57,70,126,142,146],"induce":[58],"misclassification.":[59],"This":[60],"paper":[61],"explores":[62],"role":[64],"unlearning":[67,122],"TPL":[69,144],"counter":[71],"those":[72],"We":[74,116,163],"consider":[75],"two":[76],"common":[77],"architectures:":[78],"static":[79,84],"dynamic":[81,105],"networks.":[82],"In":[83,103],"architectures,":[85],"each":[86,111,124],"task":[87,112],"is":[88],"applying":[91],"weight":[92],"update":[93],"penalties":[94],"through":[95],"regularization":[96],"without":[97],"any":[98],"change":[99],"neural":[101],"architecture.":[102],"contrast,":[104],"architectures":[106],"expand":[107],"network":[109],"for":[110,120,136],"freezing":[114],"parameters.":[115],"explore":[117],"potential":[119],"scenario":[125],"counteract":[127],"specified":[129],"Specifically,":[131],"we":[132],"demonstrate":[133,164],"how":[134],"mechanisms":[135],"selective":[137],"forgetting":[138],"be":[140],"adapted":[141],"efficiently":[147],"\u201cunlearn\u201d":[148],"compromised":[150],"backdoor":[152],"preserving":[157],"knowledge":[159],"other":[161],"tasks.":[162],"our":[165],"method":[166],"using":[167],"MNIST":[169],"image":[170],"dataset.":[171]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
