{"id":"https://openalex.org/W2953900859","doi":"https://doi.org/10.21437/interspeech.2019-2415","title":"Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion?","display_name":"Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion?","publication_year":2019,"publication_date":"2019-09-13","ids":{"openalex":"https://openalex.org/W2953900859","doi":"https://doi.org/10.21437/interspeech.2019-2415","mag":"2953900859"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2019-2415","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2019-2415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2019","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1911.04913","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042205423","display_name":"Brij Mohan Lal Srivastava","orcid":"https://orcid.org/0000-0001-7531-7123"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brij Mohan Lal Srivastava","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014504793","display_name":"Aur\u00e9lien Bellet","orcid":"https://orcid.org/0000-0003-3440-1251"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aur\u00e9lien Bellet","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047374978","display_name":"Marc Tommasi","orcid":"https://orcid.org/0000-0003-2838-4408"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marc Tommasi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5065635001","display_name":"Emmanuel Vincent","orcid":"https://orcid.org/0000-0002-0183-7289"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emmanuel Vincent","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3700","last_page":"3704"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9908000230789185,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9908000230789185,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9847000241279602,"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":0.9624000191688538,"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":0.8438608050346375},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6199108958244324},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.577694296836853},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5656929016113281},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.556225597858429},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5428651571273804},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5283746719360352},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49543726444244385},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.4688739776611328},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.46015244722366333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3770551383495331},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32843518257141113},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.23098871111869812},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08926266431808472}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8438608050346375},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6199108958244324},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.577694296836853},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5656929016113281},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.556225597858429},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5428651571273804},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5283746719360352},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49543726444244385},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4688739776611328},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.46015244722366333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3770551383495331},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32843518257141113},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.23098871111869812},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08926266431808472},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2019-2415","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2019-2415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2019","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1911.04913","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.04913","pdf_url":"https://arxiv.org/pdf/1911.04913","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1911.04913","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.04913","pdf_url":"https://arxiv.org/pdf/1911.04913","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G7805887083","display_name":"Distributed, Personalized, Privacy-Preserving Learning for Speech Processing","funder_award_id":"ANR-18-CE23-0018","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W567437002","https://openalex.org/W854541894","https://openalex.org/W1494198834","https://openalex.org/W1524333225","https://openalex.org/W1970531670","https://openalex.org/W1989087690","https://openalex.org/W1994458317","https://openalex.org/W2009001937","https://openalex.org/W2048681867","https://openalex.org/W2069883713","https://openalex.org/W2074788634","https://openalex.org/W2097128017","https://openalex.org/W2124141504","https://openalex.org/W2130427639","https://openalex.org/W2135731872","https://openalex.org/W2138719476","https://openalex.org/W2144005487","https://openalex.org/W2165806037","https://openalex.org/W2219249508","https://openalex.org/W2285216318","https://openalex.org/W2476324168","https://openalex.org/W2584667682","https://openalex.org/W2605987575","https://openalex.org/W2690039764","https://openalex.org/W2696967604","https://openalex.org/W2713640100","https://openalex.org/W2759491482","https://openalex.org/W2766219058","https://openalex.org/W2773031569","https://openalex.org/W2789205387","https://openalex.org/W2792106437","https://openalex.org/W2796339975","https://openalex.org/W2826003142","https://openalex.org/W2890964092","https://openalex.org/W2904818793","https://openalex.org/W2962780374","https://openalex.org/W2963821905"],"related_works":["https://openalex.org/W2358034992","https://openalex.org/W2367936931","https://openalex.org/W2903917280","https://openalex.org/W2573756443","https://openalex.org/W1486956970","https://openalex.org/W2149341583","https://openalex.org/W2778699561","https://openalex.org/W2963356069","https://openalex.org/W1966737826","https://openalex.org/W2086644097"],"abstract_inverted_index":{"Automatic":[0],"speech":[1,21,31,93],"recognition":[2],"(ASR)":[3],"is":[4],"a":[5,34,47,97,128,133],"key":[6],"technology":[7],"in":[8,153,189],"many":[9],"services":[10],"and":[11,76,107,116],"applications.":[12],"This":[13],"typically":[14],"requires":[15],"user":[16,55],"devices":[17],"to":[18,23,61,80,143,147],"send":[19],"their":[20,92],"data":[22],"the":[24,30,39,63,71,78,88,111,124,167,186],"cloud":[25],"for":[26,102],"ASR":[27,154],"decoding.":[28],"As":[29,46],"signal":[32],"carries":[33],"lot":[35,134],"of":[36,73,91,119,135,185],"information":[37,136],"about":[38,137],"speaker,":[40],"this":[41,66,172,197],"raises":[42],"serious":[43],"privacy":[44],"concerns.":[45],"solution,":[48],"an":[49],"encoder":[50],"may":[51],"reside":[52],"on":[53,70,87,110],"each":[54],"device":[56],"which":[57,81],"performs":[58],"local":[59],"computations":[60],"anonymize":[62],"representation.":[64],"In":[65],"paper,":[67],"we":[68,121],"focus":[69],"protection":[72,184],"speaker":[74,105,138,157,187],"identity":[75,188],"study":[77],"extent":[79],"users":[82],"can":[83],"be":[84],"recognized":[85],"based":[86],"encoded":[89],"representation":[90],"as":[94],"obtained":[95,126],"by":[96],"deep":[98],"encoder-decoder":[99],"architecture":[100,130],"trained":[101],"ASR.":[103],"Through":[104],"identification":[106],"verification":[108,179],"experiments":[109],"Librispeech":[112],"corpus":[113],"with":[114],"open":[115],"closed":[117],"sets":[118],"speakers,":[120],"show":[122],"that":[123,150,162],"representations":[125,149],"from":[127],"standard":[129],"still":[131],"carry":[132],"identity.":[139,158],"We":[140,191],"then":[141],"propose":[142],"use":[144],"adversarial":[145,163],"training":[146,164],"learn":[148],"perform":[151],"well":[152],"while":[155],"hiding":[156],"Our":[159],"results":[160],"demonstrate":[161],"dramatically":[165],"reduces":[166],"closed-set":[168],"classification":[169],"accuracy,":[170],"but":[171],"does":[173],"not":[174],"translate":[175],"into":[176,182],"increased":[177,183],"open-set":[178],"error":[180],"hence":[181],"practice.":[190],"suggest":[192],"several":[193],"possible":[194],"reasons":[195],"behind":[196],"negative":[198],"result.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
