{"id":"https://openalex.org/W4372260336","doi":"https://doi.org/10.1109/icassp49357.2023.10096557","title":"Mitigating Unintended Memorization in Language Models Via Alternating Teaching","display_name":"Mitigating Unintended Memorization in Language Models Via Alternating Teaching","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372260336","doi":"https://doi.org/10.1109/icassp49357.2023.10096557"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096557","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100462347","display_name":"Zhe Liu","orcid":"https://orcid.org/0000-0001-8578-2635"},"institutions":[{"id":"https://openalex.org/I3197470489","display_name":"Alpha Omega Alpha Medical Honor Society","ror":"https://ror.org/057q9nn35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3197470489"]},{"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":true,"raw_author_name":"Zhe Liu","raw_affiliation_strings":["Meta AI,Menlo Park,CA,USA","Meta AI, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,Menlo Park,CA,USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]},{"raw_affiliation_string":"Meta AI, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100646177","display_name":"Xuedong Zhang","orcid":"https://orcid.org/0000-0003-2456-2342"},"institutions":[{"id":"https://openalex.org/I3197470489","display_name":"Alpha Omega Alpha Medical Honor Society","ror":"https://ror.org/057q9nn35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3197470489"]},{"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":"Xuedong Zhang","raw_affiliation_strings":["Meta AI,Menlo Park,CA,USA","Meta AI, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,Menlo Park,CA,USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]},{"raw_affiliation_string":"Meta AI, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047400593","display_name":"Fuchun Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I3197470489","display_name":"Alpha Omega Alpha Medical Honor Society","ror":"https://ror.org/057q9nn35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3197470489"]},{"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":"Fuchun Peng","raw_affiliation_strings":["Meta AI,Menlo Park,CA,USA","Meta AI, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,Menlo Park,CA,USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]},{"raw_affiliation_string":"Meta AI, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100462347"],"corresponding_institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"],"apc_list":null,"apc_paid":null,"fwci":0.5245,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69740941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9958999752998352,"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":0.9847999811172485,"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":0.9444564580917358},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6843762993812561},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.643958568572998},{"id":"https://openalex.org/keywords/unintended-consequences","display_name":"Unintended consequences","score":0.5300124883651733},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.44577503204345703},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.42415037751197815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3593277335166931},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.2743290066719055},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16796410083770752},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10006609559059143}],"concepts":[{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.9444564580917358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6843762993812561},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.643958568572998},{"id":"https://openalex.org/C2776889888","wikidata":"https://www.wikidata.org/wiki/Q1135789","display_name":"Unintended consequences","level":2,"score":0.5300124883651733},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.44577503204345703},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.42415037751197815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3593277335166931},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.2743290066719055},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16796410083770752},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10006609559059143},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096557","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W1494108583","https://openalex.org/W1494198834","https://openalex.org/W1873763122","https://openalex.org/W2026149468","https://openalex.org/W2051267297","https://openalex.org/W2535838896","https://openalex.org/W2785361959","https://openalex.org/W2943845043","https://openalex.org/W2946930197","https://openalex.org/W2952604841","https://openalex.org/W3035261884","https://openalex.org/W3162665866","https://openalex.org/W3170672407","https://openalex.org/W4205228770","https://openalex.org/W4221159672","https://openalex.org/W4287553002","https://openalex.org/W4287663285","https://openalex.org/W4297687186","https://openalex.org/W4297799122","https://openalex.org/W4297841692","https://openalex.org/W4298422451","https://openalex.org/W4318619660","https://openalex.org/W6639246211","https://openalex.org/W6698609500","https://openalex.org/W6727099177","https://openalex.org/W6728757088","https://openalex.org/W6728897251","https://openalex.org/W6747732332","https://openalex.org/W6763393573","https://openalex.org/W6783170183","https://openalex.org/W6787335730","https://openalex.org/W6810332117","https://openalex.org/W7043293070"],"related_works":["https://openalex.org/W4387561393","https://openalex.org/W3163481960","https://openalex.org/W3093895509","https://openalex.org/W4283526844","https://openalex.org/W280704926","https://openalex.org/W2476068070","https://openalex.org/W4323971310","https://openalex.org/W2893372175","https://openalex.org/W2323394100","https://openalex.org/W2551249631"],"abstract_inverted_index":{"Recent":[0],"research":[1],"has":[2],"shown":[3],"that":[4,89],"language":[5],"models":[6],"have":[7],"a":[8,31,36,73],"tendency":[9],"to":[10,42,64],"memorize":[11],"rare":[12],"or":[13],"unique":[14],"sequences":[15],"in":[16,46,76],"the":[17,70,90,108],"training":[18,58,71,114],"corpora":[19],"which":[20],"can":[21],"thus":[22],"leak":[23],"sensitive":[24],"attributes":[25],"of":[26,72],"user":[27],"data.":[28],"We":[29],"employ":[30],"teacher-student":[32],"framework":[33],"and":[34,66],"propose":[35],"novel":[37],"approach":[38],"called":[39],"alternating":[40,78],"teaching":[41],"mitigate":[43],"unintended":[44,106],"memorization":[45],"sequential":[47],"modeling.":[48],"In":[49,100],"our":[50],"method,":[51],"multiple":[52],"teachers":[53],"are":[54,116],"trained":[55],"on":[56,85],"disjoint":[57],"sets":[59],"whose":[60],"privacy":[61],"one":[62],"wishes":[63],"protect,":[65],"teachers\u2019":[67],"predictions":[68],"supervise":[69],"student":[74],"model":[75],"an":[77],"manner":[79],"at":[80],"each":[81],"time":[82],"step.":[83],"Experiments":[84],"LibriSpeech":[86],"datasets":[87],"show":[88],"proposed":[91],"method":[92],"achieves":[93],"superior":[94],"privacy-preserving":[95],"results":[96],"than":[97],"other":[98],"counterparts.":[99],"comparison":[101],"with":[102],"no":[103],"prevention":[104],"for":[105],"memorization,":[107],"accuracy":[109],"loss":[110],"is":[111],"small":[112],"when":[113],"records":[115],"sufficient.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}