{"id":"https://openalex.org/W4392902780","doi":"https://doi.org/10.1109/icassp48485.2024.10446299","title":"Forgetting Private Textual Sequences in Language Models Via Leave-One-Out Ensemble","display_name":"Forgetting Private Textual Sequences in Language Models Via Leave-One-Out Ensemble","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392902780","doi":"https://doi.org/10.1109/icassp48485.2024.10446299"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446299","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10446299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100462383","display_name":"Zhe Liu","orcid":"https://orcid.org/0000-0003-1313-8327"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhe Liu","raw_affiliation_strings":["Meta,Menlo Park,CA,USA","Meta, Menlo Park, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta,Menlo Park,CA,USA","institution_ids":["https://openalex.org/I4210099336"]},{"raw_affiliation_string":"Meta, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066166549","display_name":"Ozlem Kalinli","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ozlem Kalinli","raw_affiliation_strings":["Meta,Menlo Park,CA,USA","Meta, Menlo Park, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta,Menlo Park,CA,USA","institution_ids":["https://openalex.org/I4210099336"]},{"raw_affiliation_string":"Meta, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210099336"],"apc_list":null,"apc_paid":null,"fwci":0.3556,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47566161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"10261","last_page":"10265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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/T10028","display_name":"Topic Modeling","score":0.9933000206947327,"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":0.9782999753952026,"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":0.7238748073577881},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.7230939269065857},{"id":"https://openalex.org/keywords/memorization","display_name":"Memorization","score":0.6859981417655945},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6831197738647461},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.6456354260444641},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6327013373374939},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6182221174240112},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.6073834896087646},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5056662559509277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4863029420375824},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.459076851606369},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.17478781938552856},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14961615204811096},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11320123076438904},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.10471776127815247},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09824684262275696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08645504713058472}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7238748073577881},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.7230939269065857},{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.6859981417655945},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6831197738647461},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.6456354260444641},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6327013373374939},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6182221174240112},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6073834896087646},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5056662559509277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4863029420375824},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.459076851606369},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.17478781938552856},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14961615204811096},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11320123076438904},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.10471776127815247},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09824684262275696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08645504713058472},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446299","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10446299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W1873763122","https://openalex.org/W2051267297","https://openalex.org/W2535838896","https://openalex.org/W2752929869","https://openalex.org/W2941564988","https://openalex.org/W2943845043","https://openalex.org/W2952604841","https://openalex.org/W2963240019","https://openalex.org/W3124806946","https://openalex.org/W3154155772","https://openalex.org/W3162665866","https://openalex.org/W3168867926","https://openalex.org/W3170672407","https://openalex.org/W4205228770","https://openalex.org/W4221159672","https://openalex.org/W4283805899","https://openalex.org/W4287663285","https://openalex.org/W4297841692","https://openalex.org/W4298422451","https://openalex.org/W4372260336","https://openalex.org/W4384918448","https://openalex.org/W4385572399","https://openalex.org/W4385573569","https://openalex.org/W6727099177","https://openalex.org/W6728757088","https://openalex.org/W6728897251","https://openalex.org/W6747732332","https://openalex.org/W6763192249","https://openalex.org/W6763393573","https://openalex.org/W6783170183","https://openalex.org/W6787335730","https://openalex.org/W6788013617","https://openalex.org/W6796581206","https://openalex.org/W6810332117","https://openalex.org/W6839820251","https://openalex.org/W6854866820"],"related_works":["https://openalex.org/W4289718052","https://openalex.org/W2164121020","https://openalex.org/W2145559838","https://openalex.org/W2905319430","https://openalex.org/W3093895509","https://openalex.org/W3116498279","https://openalex.org/W3163481960","https://openalex.org/W4287549553","https://openalex.org/W2323394100","https://openalex.org/W2382481160"],"abstract_inverted_index":{"Recent":[0],"research":[1],"has":[2],"shown":[3],"that":[4,124],"language":[5],"models":[6],"have":[7],"a":[8,23,58,63],"tendency":[9],"to":[10,29,49,68,91,112],"memorize":[11],"rare":[12],"or":[13],"unique":[14],"token":[15],"sequences":[16,73],"in":[17],"the":[18,35,41,70,75,96,100,107,125],"training":[19],"corpus.":[20],"After":[21],"deploying":[22],"model,":[24],"practitioners":[25],"might":[26],"be":[27,92],"asked":[28],"delete":[30],"any":[31],"personal":[32],"information":[33],"from":[34,74,109],"model":[36,43],"by":[37],"individuals\u2019":[38],"requests.":[39],"Re-training":[40],"underlying":[42],"every":[44],"time":[45],"individuals":[46],"would":[47],"like":[48],"make":[50],"these":[51],"requests":[52],"is":[53],"computationally":[54],"expensive.":[55],"We":[56],"employ":[57],"teacher-student":[59],"framework":[60],"and":[61,105,120],"propose":[62],"novel":[64],"leave-one-out":[65],"ensemble":[66],"method":[67,127],"unlearn":[69],"targeted":[71,89],"textual":[72],"model.":[76],"In":[77],"our":[78],"approach,":[79],"multiple":[80],"teachers":[81,111],"are":[82],"trained":[83,98],"on":[84,99,118],"disjoint":[85],"sets;":[86],"for":[87],"each":[88],"sequence":[90,104],"removed,":[93],"we":[94],"exclude":[95],"teacher":[97],"set":[101],"containing":[102],"this":[103],"aggregate":[106],"predictions":[108],"remaining":[110],"provide":[113],"supervision":[114],"during":[115],"fine-tuning.":[116],"Experiments":[117],"LibriSpeech":[119],"WikiText-103":[121],"datasets":[122],"show":[123],"proposed":[126],"achieves":[128],"superior":[129],"privacy-utility":[130],"trade-offs":[131],"than":[132],"other":[133],"counterparts.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}