{"id":"https://openalex.org/W4412945112","doi":"https://doi.org/10.18653/v1/2025.acl-long.810","title":"Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models","display_name":"Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412945112","doi":"https://doi.org/10.18653/v1/2025.acl-long.810"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.acl-long.810","is_oa":false,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2506.10024","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069914401","display_name":"Elena Sofia Ruzzetti","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elena Sofia Ruzzetti","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041895760","display_name":"Giancarlo A. Xompero","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giancarlo A. Xompero","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092031675","display_name":"Davide Venditti","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Davide Venditti","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5029654514","display_name":"Fabio Massimo Zanzotto","orcid":"https://orcid.org/0000-0002-7301-3596"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fabio Massimo Zanzotto","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"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":0.08870354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"16572","last_page":"16592"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9711999893188477,"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":0.9711999893188477,"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/memorization","display_name":"Memorization","score":0.9275246262550354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7034784555435181},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3408791422843933},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1348780393600464},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.1311340630054474}],"concepts":[{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.9275246262550354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7034784555435181},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3408791422843933},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1348780393600464},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.1311340630054474}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/2025.acl-long.810","is_oa":false,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2506.10024","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.10024","pdf_url":"https://arxiv.org/pdf/2506.10024","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:art.torvergata.it:2108/445385","is_oa":false,"landing_page_url":"https://hdl.handle.net/2108/445385","pdf_url":null,"source":{"id":"https://openalex.org/S4306400993","display_name":"Cineca Institutional Research Information System (Tor Vergata University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I116067653","host_organization_name":"University of Rome Tor Vergata","host_organization_lineage":["https://openalex.org/I116067653"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2506.10024","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.10024","pdf_url":"https://arxiv.org/pdf/2506.10024","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3093895509","https://openalex.org/W3163481960","https://openalex.org/W2323394100","https://openalex.org/W280704926","https://openalex.org/W2476068070","https://openalex.org/W4323971310","https://openalex.org/W2893372175"],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"memorize,":[4],"and":[5,98],"thus,":[6],"among":[7],"huge":[8],"amounts":[9],"of":[10,83,103,110,146,152,161],"uncontrolled":[11],"data,":[12,74],"may":[13],"memorize":[14],"Personally":[15],"Identifiable":[16],"Information":[17],"(PII),":[18],"which":[19],"should":[20],"not":[21,26,120],"be":[22],"stored":[23],"and,":[24],"consequently,":[25],"leaked.":[27],"In":[28],"this":[29],"paper,":[30],"we":[31],"introduce":[32],"Private":[33],"Memorization":[34],"Editing":[35],"(PME),":[36],"an":[37,46],"approach":[38,76],"for":[39],"preventing":[40],"private":[41],"data":[42],"leakage":[43],"that":[44,49,116,139],"turns":[45],"apparent":[47],"limitation,":[48],"is,":[50],"the":[51,80,101,122,144,159,162],"LLMs'":[52],"memorization":[53,102],"ability,":[54],"into":[55],"a":[56,89,95,107,150],"powerful":[57],"privacy":[58,132,163],"defense":[59],"strategy.":[60],"While":[61],"attacks":[62,164],"against":[63,131],"LLMs":[64],"have":[65],"been":[66],"performed":[67],"exploiting":[68],"previous":[69],"knowledge":[70,84,109],"regarding":[71],"their":[72],"training":[73,112],"our":[75,117],"aims":[77],"to":[78,87,165],"exploit":[79],"same":[81],"kind":[82],"in":[85,149,154],"order":[86],"make":[88],"model":[90,108,125],"more":[91,129],"robust.":[92],"We":[93,114,137],"detect":[94],"memorized":[96],"PII":[97,104,148],"then":[99],"mitigate":[100],"by":[105],"editing":[106],"its":[111],"data.":[113],"verify":[115],"procedure":[118],"does":[119],"affect":[121],"underlying":[123],"language":[124],"while":[126],"making":[127],"it":[128],"robust":[130],"Training":[133],"Data":[134],"Extraction":[135],"attacks.":[136],"demonstrate":[138],"PME":[140],"can":[141],"effectively":[142],"reduce":[143],"number":[145,151],"leaked":[147],"configurations,":[153],"some":[155],"cases":[156],"even":[157],"reducing":[158],"accuracy":[160],"zero.":[166]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-08-05T00:00:00"}