{"id":"https://openalex.org/W4412373294","doi":"https://doi.org/10.56553/popets-2025-0152","title":"Meta-Learn to Unlearn: Enhanced Exact Machine Unlearning in Recommendation Systems with Meta-Learning","display_name":"Meta-Learn to Unlearn: Enhanced Exact Machine Unlearning in Recommendation Systems with Meta-Learning","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412373294","doi":"https://doi.org/10.56553/popets-2025-0152"},"language":"en","primary_location":{"id":"doi:10.56553/popets-2025-0152","is_oa":true,"landing_page_url":"https://doi.org/10.56553/popets-2025-0152","pdf_url":null,"source":{"id":"https://openalex.org/S4210183172","display_name":"Proceedings on Privacy Enhancing Technologies","issn_l":"2299-0984","issn":["2299-0984"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings on Privacy Enhancing Technologies","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.56553/popets-2025-0152","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007990050","display_name":"Abdulla Alshabanah","orcid":"https://orcid.org/0009-0009-7619-874X"},"institutions":[{"id":"https://openalex.org/I2800817003","display_name":"Southern California University for Professional Studies","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]},{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abdulla Alshabanah","raw_affiliation_strings":["University of Southern California"],"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I2800817003","https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054449875","display_name":"Keshav Balasubramanian","orcid":null},"institutions":[{"id":"https://openalex.org/I2800817003","display_name":"Southern California University for Professional Studies","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]},{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keshav Balasubramanian","raw_affiliation_strings":["University of Southern California"],"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I2800817003","https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018033573","display_name":"Murali Annavaram","orcid":"https://orcid.org/0000-0002-4633-6867"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I2800817003","display_name":"Southern California University for Professional Studies","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murali Annavaram","raw_affiliation_strings":["University of Southern California"],"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I2800817003","https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007990050"],"corresponding_institution_ids":["https://openalex.org/I1174212","https://openalex.org/I2800817003"],"apc_list":null,"apc_paid":null,"fwci":2.8599,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91796897,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"2025","issue":"4","first_page":"696","last_page":"711"},"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":0.9731000065803528,"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":0.9731000065803528,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9549999833106995,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9258000254631042,"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/computer-science","display_name":"Computer science","score":0.4829103946685791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44583889842033386},{"id":"https://openalex.org/keywords/meta-analysis","display_name":"Meta-analysis","score":0.43237465620040894},{"id":"https://openalex.org/keywords/metamodeling","display_name":"Metamodeling","score":0.43203461170196533},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37544459104537964},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12747007608413696},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.10376563668251038}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4829103946685791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44583889842033386},{"id":"https://openalex.org/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.43237465620040894},{"id":"https://openalex.org/C86610423","wikidata":"https://www.wikidata.org/wiki/Q1925081","display_name":"Metamodeling","level":2,"score":0.43203461170196533},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37544459104537964},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12747007608413696},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.10376563668251038},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.56553/popets-2025-0152","is_oa":true,"landing_page_url":"https://doi.org/10.56553/popets-2025-0152","pdf_url":null,"source":{"id":"https://openalex.org/S4210183172","display_name":"Proceedings on Privacy Enhancing Technologies","issn_l":"2299-0984","issn":["2299-0984"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings on Privacy Enhancing Technologies","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.56553/popets-2025-0152","is_oa":true,"landing_page_url":"https://doi.org/10.56553/popets-2025-0152","pdf_url":null,"source":{"id":"https://openalex.org/S4210183172","display_name":"Proceedings on Privacy Enhancing Technologies","issn_l":"2299-0984","issn":["2299-0984"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings on Privacy Enhancing Technologies","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Recommendation":[0],"systems":[1],"are":[2,30,37,82,123],"used":[3],"widely":[4],"to":[5,14,54,58,84,93,175,194],"recommend":[6],"items":[7],"such":[8,44,70],"as":[9,45],"movies,":[10],"products,":[11],"or":[12],"news":[13],"users.":[15],"The":[16],"performance":[17,200,222],"of":[18,26,62,96,106,172,198,231],"a":[19,71,75,99,104,143,163,169,217],"recommendation":[20,199,221],"model":[21,114,138,156,174],"depends":[22],"on":[23],"the":[24,27,80,86,94,137,147,155,173,196,228],"quality":[25],"embeddings":[28],"that":[29,102,158,191],"associated":[31],"with":[32],"users":[33,53],"and":[34,150,204,215],"items,":[35],"which":[36,131,153],"generally":[38,124],"learned":[39],"by":[40,135],"tracking":[41],"user":[42,76,87,118,165],"behavior,":[43],"their":[46,56,63,78],"click":[47],"history.":[48],"Recent":[49],"legislative":[50],"requirements":[51],"allow":[52],"withdraw":[55],"consent":[57,72],"learning":[59],"from":[60,139,146,161],"some":[61],"behaviors,":[64],"even":[65],"if":[66],"they":[67],"have":[68],"provided":[69],"initially.":[73],"Once":[74],"withdraws":[77],"consent,":[79],"models":[81],"supposed":[83],"unlearn":[85],"behavior.":[88],"This":[89],"requirement":[90],"has":[91],"led":[92],"emergence":[95],"machine":[97,187],"unlearning,":[98,130,152],"research":[100],"area":[101],"proposes":[103],"class":[105],"privacy":[107,229],"policy-compliant":[108],"techniques":[109,122],"aimed":[110],"at":[111],"maintaining":[112],"good":[113],"utility":[115],"after":[116,141],"deleting":[117],"information.":[119],"Machine":[120],"unlearning":[121,188],"divided":[125],"into":[126],"two":[127],"categories:":[128],"exact":[129,186,205,232],"may":[132],"be":[133],"accomplished":[134],"retraining":[136,171],"scratch":[140],"removing":[142,162],"data":[144],"point":[145],"training":[148],"data;":[149],"approximate":[151],"approximates":[154],"parameters":[157],"would":[159],"result":[160],"specific":[164],"data,":[166],"without":[167],"needing":[168],"complete":[170],"minimize":[176],"computational":[177],"costs.":[178],"In":[179],"this":[180],"work,":[181],"we":[182],"propose":[183],"an":[184],"enhanced":[185],"(EEMU)":[189],"strategy":[190],"leverages":[192],"meta-learning":[193],"reduce":[195],"loss":[197],"while":[201,226],"ensuring":[202],"efficient":[203],"unlearnability.":[206],"We":[207],"demonstrate":[208],"our":[209],"results":[210],"using":[211],"four":[212],"public":[213],"datasets":[214],"show":[216],"significant":[218],"improvement":[219],"in":[220],"over":[223],"state-of-the-art":[224],"baselines":[225],"preserving":[227],"guarantees":[230],"unlearning.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
