{"id":"https://openalex.org/W7126372619","doi":"https://doi.org/10.18653/v1/2024.findings-eacl.33","title":"Differentially Private Natural Language Models: Recent Advances and Future Directions","display_name":"Differentially Private Natural Language Models: Recent Advances and Future Directions","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W7126372619","doi":"https://doi.org/10.18653/v1/2024.findings-eacl.33"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2024.findings-eacl.33","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.33","pdf_url":"https://aclanthology.org/2024.findings-eacl.33.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EACL 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.findings-eacl.33.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011519506","display_name":"Li Hu","orcid":"https://orcid.org/0000-0001-7003-2903"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lijie Hu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124579477","display_name":"Ivan Habernal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ivan Habernal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124546023","display_name":"Lei Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Shen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5124522222","display_name":"Di Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Di Wang","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":0.4538,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76183045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"478","last_page":"499"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.08139999955892563,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.08139999955892563,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.07890000194311142,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.05380000174045563,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.44429999589920044},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.4318999946117401},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.28769999742507935},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2630999982357025},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.2558000087738037}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5117999911308289},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.44429999589920044},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.4318999946117401},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.310699999332428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30000001192092896},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.29440000653266907},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.2612999975681305},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2024.findings-eacl.33","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.33","pdf_url":"https://aclanthology.org/2024.findings-eacl.33.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EACL 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.findings-eacl.33","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.33","pdf_url":"https://aclanthology.org/2024.findings-eacl.33.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EACL 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6896244287490845,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3195118005","display_name":null,"funder_award_id":"REI/1/4811-10-01","funder_id":"https://openalex.org/F4320322320","funder_display_name":"King Abdullah University of Science and Technology"},{"id":"https://openalex.org/G3518144781","display_name":null,"funder_award_id":"URF/1/4663-01-01","funder_id":"https://openalex.org/F4320322320","funder_display_name":"King Abdullah University of Science and Technology"},{"id":"https://openalex.org/G4795079661","display_name":null,"funder_award_id":"BAS/1/1689-01-01","funder_id":"https://openalex.org/F4320322320","funder_display_name":"King Abdullah University of Science and Technology"},{"id":"https://openalex.org/G6036713034","display_name":null,"funder_award_id":"FCC/1/1976-49-01","funder_id":"https://openalex.org/F4320322320","funder_display_name":"King Abdullah University of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320322320","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7126372619.pdf","grobid_xml":"https://content.openalex.org/works/W7126372619.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"developments":[1,136],"in":[2,10,43,74,100,105],"deep":[3,102,123],"learning":[4,103],"have":[5],"led":[6],"to":[7,27],"great":[8],"success":[9],"various":[11],"natural":[12],"language":[13],"processing":[14],"(NLP)":[15],"tasks.However,":[16],"these":[17],"applications":[18],"may":[19],"involve":[20],"data":[21,38,69],"that":[22],"contain":[23],"sensitive":[24,37],"information.Therefore,":[25],"how":[26],"achieve":[28],"good":[29],"performance":[30],"while":[31],"also":[32,154],"protecting":[33],"the":[34,93,120],"privacy":[35],"of":[36,97,116],"is":[39,61],"a":[40,63,86],"crucial":[41],"challenge":[42],"NLP.To":[44],"preserve":[45],"privacy,":[46],"Differential":[47],"Privacy":[48],"(DP),":[49],"which":[50,84],"can":[51],"prevent":[52],"reconstruction":[53],"attacks":[54],"and":[55,113,132,149,158],"protect":[56],"against":[57],"potential":[58],"side":[59],"knowledge,":[60],"becoming":[62],"de":[64],"facto":[65],"technique":[66],"for":[67],"private":[68],"analysis.In":[70],"recent":[71,98,135],"years,":[72],"NLP":[73],"DP":[75,101,122],"models":[76,104],"(DP-NLP)":[77],"has":[78],"been":[79],"studied":[80],"from":[81,137],"different":[82],"perspectives,":[83],"deserves":[85],"comprehensive":[87],"review.In":[88],"this":[89],"paper,":[90],"we":[91,108,125],"provide":[92],"first":[94,109],"systematic":[95],"review":[96],"advances":[99],"NLP.In":[106],"particular,":[107],"discuss":[110,155],"some":[111,127,156],"differences":[112],"additional":[114],"challenges":[115,157],"DP-NLP":[117,131],"compared":[118],"with":[119],"standard":[121],"learning.Then,":[124],"investigate":[126],"existing":[128],"work":[129],"on":[130],"present":[133],"its":[134],"three":[138],"aspects:":[139],"gradient":[140],"perturbation":[141,146],"based":[142,147,152],"methods,":[143,148],"embedding":[144],"vector":[145],"ensemble":[150],"model":[151],"methods.We":[153],"future":[159],"directions.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-02T00:00:00"}