{"id":"https://openalex.org/W7163017576","doi":"https://doi.org/10.48550/arxiv.2605.30848","title":"LLM Anonymization Against Agentic Re-Identification","display_name":"LLM Anonymization Against Agentic Re-Identification","publication_year":2026,"publication_date":"2026-05-29","ids":{"openalex":"https://openalex.org/W7163017576","doi":"https://doi.org/10.48550/arxiv.2605.30848"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.30848","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.30848","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.30848","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137579348","display_name":"Ziwen Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Ziwen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137515113","display_name":"Jianing Wen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen, Jianing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137586696","display_name":"Tianshi Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Tianshi","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":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/T12380","display_name":"Authorship Attribution and Profiling","score":0.32339999079704285,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.32339999079704285,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.17800000309944153,"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":0.15610000491142273,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6025000214576721},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5311999917030334},{"id":"https://openalex.org/keywords/structuring","display_name":"Structuring","score":0.46129998564720154},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4162999987602234},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.3894999921321869},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.38909998536109924},{"id":"https://openalex.org/keywords/resistance","display_name":"Resistance (ecology)","score":0.37229999899864197},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.35670000314712524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6394000053405762},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6025000214576721},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5311999917030334},{"id":"https://openalex.org/C2775945657","wikidata":"https://www.wikidata.org/wiki/Q381442","display_name":"Structuring","level":2,"score":0.46129998564720154},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.45010000467300415},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4162999987602234},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3894999921321869},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.38909998536109924},{"id":"https://openalex.org/C57473165","wikidata":"https://www.wikidata.org/wiki/Q7315604","display_name":"Resistance (ecology)","level":2,"score":0.37229999899864197},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.35670000314712524},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3310999870300293},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3264999985694885},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3215999901294708},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C143095724","wikidata":"https://www.wikidata.org/wiki/Q515895","display_name":"Odds","level":3,"score":0.2903999984264374},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.27619999647140503},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2734000086784363},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C57098296","wikidata":"https://www.wikidata.org/wiki/Q12021746","display_name":"Interrogative","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2526000142097473},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.30848","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.30848","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.30848","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.30848","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.655897855758667,"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":{"Agentic":[0],"LLMs":[1],"with":[2,70,87,109],"web":[3],"search":[4],"change":[5],"the":[6,31,54,120,131],"threat":[7],"model":[8],"for":[9,19,41],"text":[10,40,47],"anonymization:":[11],"weak":[12],"contextual":[13,122,154],"cues":[14],"can":[15],"become":[16],"cross-referenceable":[17],"evidence":[18],"re-identification,":[20],"yet":[21],"those":[22],"same":[23],"details":[24],"also":[25],"carry":[26],"downstream":[27],"analytic":[28],"value":[29],"of":[30],"text.":[32],"Existing":[33],"defenses":[34],"either":[35],"remove":[36],"explicit":[37],"identifiers,":[38],"perturb":[39],"formal":[42],"privacy,":[43],"or":[44],"test":[45],"rewritten":[46],"against":[48],"non-web":[49],"inference":[50],"models,":[51],"leaving":[52],"underexplored":[53],"operating":[55],"region":[56],"between":[57],"resistance":[58,141],"to":[59,139,142,151],"agentic":[60,143],"web-search":[61,106],"re-identification":[62,101,144],"and":[63,84,90,119,145],"utility":[64,111,123,155],"retention.":[65],"We":[66,93],"introduce":[67],"AURA":[68,95,129],"(\\textbf{A}nonymization":[69],"\\textbf{U}tility-\\textbf{R}etention":[71],"\\textbf{A}daptation),":[72],"an":[73],"LLM-powered":[74],"\\textit{mask-reconstruct}":[75],"framework":[76],"that":[77,128],"decouples":[78],"privacy":[79,89,137,158],"localization":[80],"from":[81],"utility-preserving":[82],"reconstruction":[83],"selects":[85],"candidates":[86],"adversarial":[88],"utility-retention":[91],"checks.":[92],"evaluate":[94],"on":[96,114],"real-user":[97],"interview":[98],"transcripts":[99],"using":[100,135,146],"attacks":[102],"carried":[103],"out":[104],"by":[105,134],"agents,":[107],"along":[108],"a":[110,147],"evaluation":[112],"based":[113],"interviewee-profile":[115],"facts,":[116,118],"codebook":[117],"joint":[121],"grid.":[124],"Our":[125],"results":[126],"show":[127],"improves":[130],"privacy-utility":[132],"frontier":[133],"adaptive":[136],"scope":[138],"strengthen":[140],"mask-reconstruct":[148],"anonymization":[149],"method":[150],"better":[152],"preserve":[153],"under":[156],"fixed":[157],"scope.":[159]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-02T00:00:00"}