{"id":"https://openalex.org/W4385019228","doi":"https://doi.org/10.48550/arxiv.2307.10476","title":"What can we learn from Data Leakage and Unlearning for Law?","display_name":"What can we learn from Data Leakage and Unlearning for Law?","publication_year":2023,"publication_date":"2023-07-19","ids":{"openalex":"https://openalex.org/W4385019228","doi":"https://doi.org/10.48550/arxiv.2307.10476"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2307.10476","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.10476","pdf_url":"https://arxiv.org/pdf/2307.10476","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2307.10476","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018655091","display_name":"Jaydeep Borkar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Borkar, Jaydeep","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5018655091"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9980999827384949,"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":0.9980999827384949,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9182999730110168,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/memorization","display_name":"Memorization","score":0.8776282072067261},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.670107364654541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5842788219451904},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5083491206169128},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.5066088438034058},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4785240888595581},{"id":"https://openalex.org/keywords/leakage","display_name":"Leakage (economics)","score":0.4251485764980316},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4185154139995575},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.35051798820495605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34979212284088135},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17305141687393188},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.1087568998336792}],"concepts":[{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.8776282072067261},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.670107364654541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5842788219451904},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5083491206169128},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.5066088438034058},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4785240888595581},{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.4251485764980316},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4185154139995575},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.35051798820495605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34979212284088135},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17305141687393188},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.1087568998336792},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2307.10476","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.10476","pdf_url":"https://arxiv.org/pdf/2307.10476","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2307.10476","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2307.10476","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2307.10476","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.10476","pdf_url":"https://arxiv.org/pdf/2307.10476","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385019228.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3163481960","https://openalex.org/W3093895509","https://openalex.org/W2323394100","https://openalex.org/W280704926","https://openalex.org/W2476068070","https://openalex.org/W4323971310","https://openalex.org/W2893372175","https://openalex.org/W1972827106","https://openalex.org/W4283526844","https://openalex.org/W2787003449"],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"have":[4],"a":[5,84],"privacy":[6,51,159],"concern":[7],"because":[8],"they":[9,123],"memorize":[10],"training":[11,120],"data":[12,37,61,121,128,140,152],"(including":[13],"personally":[14],"identifiable":[15],"information":[16],"(PII)":[17],"like":[18],"emails":[19],"and":[20,23,148,160,182],"phone":[21],"numbers)":[22],"leak":[24,118,125],"it":[25],"during":[26,132],"inference.":[27],"A":[28],"company":[29],"can":[30,39,156],"train":[31],"an":[32,177],"LLM":[33],"on":[34],"its":[35],"domain-customized":[36],"which":[38],"potentially":[40],"also":[41,110,124],"include":[42],"their":[43,119],"users'":[44],"PII.":[45],"In":[46,106],"order":[47],"to":[48,57,69,91,100,144,168,190],"comply":[49],"with":[50],"laws":[52],"such":[53],"as":[54],"the":[55,60,78,126,133,186],"\"right":[56],"be":[58,72],"forgotten\",":[59],"points":[62,81,88,141],"of":[63,87,138,150],"users":[64],"that":[65,76,112,165],"are":[66,82],"most":[67,79],"vulnerable":[68,80,90,143],"extraction":[70,145],"could":[71],"deleted.":[73],"We":[74,171],"find":[75],"once":[77],"deleted,":[83],"new":[85,139],"set":[86],"become":[89],"extraction.":[92],"So":[93],"far,":[94],"little":[95],"attention":[96],"has":[97],"been":[98],"given":[99],"understanding":[101],"memorization":[102],"for":[103,163,188],"fine-tuned":[104,116,154],"models.":[105],"this":[107,173],"work,":[108],"we":[109],"show":[111],"not":[113],"only":[114],"do":[115],"models":[117,155],"but":[122],"pre-training":[127,134,151],"(and":[129],"PII)":[130],"memorized":[131],"phase.":[135],"The":[136],"property":[137],"becoming":[142],"after":[146],"unlearning":[147],"leakage":[149],"through":[153],"pose":[157],"significant":[158],"legal":[161],"concerns":[162],"companies":[164],"use":[166],"LLMs":[167],"offer":[169],"services.":[170],"hope":[172],"work":[174],"will":[175],"start":[176],"interdisciplinary":[178],"discussion":[179],"within":[180],"AI":[181],"law":[183],"communities":[184],"regarding":[185],"need":[187],"policies":[189],"tackle":[191],"these":[192],"issues.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}