{"id":"https://openalex.org/W7131374727","doi":"https://doi.org/10.48550/arxiv.2602.20743","title":"Adaptive Text Anonymization: Learning Privacy-Utility Trade-offs via Prompt Optimization","display_name":"Adaptive Text Anonymization: Learning Privacy-Utility Trade-offs via Prompt Optimization","publication_year":2026,"publication_date":"2026-02-24","ids":{"openalex":"https://openalex.org/W7131374727","doi":"https://doi.org/10.48550/arxiv.2602.20743"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.20743","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099069842","display_name":"Gabriel Loiseau","orcid":"https://orcid.org/0009-0008-0160-0979"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Loiseau, Gabriel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126785834","display_name":"Damien Sileo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sileo, Damien","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013683743","display_name":"Damien Riquet","orcid":"https://orcid.org/0009-0004-9835-9878"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Riquet, Damien","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089236281","display_name":"Maxime Meyer","orcid":"https://orcid.org/0000-0002-8652-597X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meyer, Maxime","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5125114042","display_name":"Marc Tommasi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tommasi, Marc","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5099069842"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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":0.5940999984741211,"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":0.5940999984741211,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.120899997651577,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.040699999779462814,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.772599995136261},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6395000219345093},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6287999749183655},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5724999904632568},{"id":"https://openalex.org/keywords/data-anonymization","display_name":"Data anonymization","score":0.4431999921798706},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.42100000381469727},{"id":"https://openalex.org/keywords/downstream","display_name":"Downstream (manufacturing)","score":0.39640000462532043},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.3763999938964844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8751000165939331},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.772599995136261},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6395000219345093},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6287999749183655},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5724999904632568},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4803999960422516},{"id":"https://openalex.org/C2776945810","wikidata":"https://www.wikidata.org/wiki/Q17006654","display_name":"Data anonymization","level":3,"score":0.4431999921798706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42980000376701355},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.42100000381469727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4023999869823456},{"id":"https://openalex.org/C2776207758","wikidata":"https://www.wikidata.org/wiki/Q5303302","display_name":"Downstream (manufacturing)","level":2,"score":0.39640000462532043},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3763999938964844},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.35269999504089355},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.33489999175071716},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3278999924659729},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.28519999980926514},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.27090001106262207},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2596000134944916}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.20743","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.20743","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.20743","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:doi:10.48550/arxiv.2602.20743","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.48447224497795105,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Anonymizing":[0],"textual":[1],"documents":[2],"is":[3],"a":[4,58,75,106,127],"highly":[5],"context-sensitive":[6],"problem:":[7],"the":[8,19,39,167],"appropriate":[9],"balance":[10],"between":[11],"privacy":[12,22,93,114],"protection":[13],"and":[14,24,46,96,116,138],"utility":[15,117],"preservation":[16],"varies":[17],"with":[18,111,144],"data":[20],"domain,":[21],"objectives,":[23],"downstream":[25,97],"application.":[26],"However,":[27],"existing":[28,132],"anonymization":[29,64,84,160],"methods":[30],"rely":[31],"on":[32,140],"static,":[33],"manually":[34],"designed":[35],"strategies":[36,65,161],"that":[37,81,154,162],"lack":[38],"flexibility":[40],"to":[41,43,49,69,91,147],"adjust":[42],"diverse":[44,112],"requirements":[45],"often":[47],"fail":[48],"generalize":[50],"across":[51],"domains.":[52],"We":[53,73],"introduce":[54],"adaptive":[55],"text":[56],"anonymization,":[57],"new":[59],"task":[60],"formulation":[61],"in":[62],"which":[63],"are":[66],"automatically":[67,82],"adapted":[68],"specific":[70],"privacy-utility":[71,129,168],"requirements.":[72],"propose":[74],"framework":[76,124],"for":[77,86],"task-specific":[78],"prompt":[79],"optimization":[80],"constructs":[83],"instructions":[85],"language":[87,142],"models,":[88,143],"enabling":[89],"adaptation":[90],"different":[92,164],"goals,":[94],"domains,":[95,113],"usage":[98],"patterns.":[99],"To":[100],"evaluate":[101],"our":[102,123,155],"approach,":[103],"we":[104,152],"present":[105],"benchmark":[107],"spanning":[108],"five":[109],"datasets":[110],"constraints,":[115],"objectives.":[118],"Across":[119],"all":[120],"evaluated":[121],"settings,":[122],"consistently":[125],"achieves":[126],"better":[128],"trade-off":[130,169],"than":[131],"baselines,":[133],"while":[134],"remaining":[135],"computationally":[136],"efficient":[137],"effective":[139],"open-source":[141],"performance":[145],"comparable":[146],"larger":[148],"closed-source":[149],"models.":[150],"Additionally,":[151],"show":[153],"method":[156],"can":[157],"discover":[158],"novel":[159],"explore":[163],"points":[165],"along":[166],"frontier.":[170]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-26T00:00:00"}
