{"id":"https://openalex.org/W4417300717","doi":"https://doi.org/10.18653/v1/2026.findings-acl.485","title":"Automated Profile Inference with Language Model Agents","display_name":"Automated Profile Inference with Language Model Agents","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W4417300717","doi":"https://doi.org/10.18653/v1/2026.findings-acl.485"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2026.findings-acl.485","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.485","pdf_url":"https://aclanthology.org/2026.findings-acl.485.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: ACL 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.findings-acl.485.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101920358","display_name":"Yuntao Du","orcid":"https://orcid.org/0000-0003-0620-5704"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuntao Du","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007262312","display_name":"Zitao Li","orcid":"https://orcid.org/0000-0001-5461-6693"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zitao Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107914397","display_name":"Bolin Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bolin Ding","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046576694","display_name":"Yaliang Li","orcid":"https://orcid.org/0000-0002-4204-6096"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaliang Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101702107","display_name":"Hanshen Xiao","orcid":"https://orcid.org/0000-0003-3380-4518"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hanshen Xiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057864403","display_name":"Jingren Zhou","orcid":"https://orcid.org/0000-0002-4220-2634"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingren Zhou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5010853051","display_name":"Ninghui Li","orcid":"https://orcid.org/0000-0002-2068-4425"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ninghui Li","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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01875219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9977","last_page":"10000"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.16019999980926514,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.16019999980926514,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.10769999772310257,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.08720000088214874,"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/profiling","display_name":"Profiling (computer programming)","score":0.7017999887466431},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.6704999804496765},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5910000205039978},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5094000101089478},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.391400009393692},{"id":"https://openalex.org/keywords/personally-identifiable-information","display_name":"Personally identifiable information","score":0.38440001010894775},{"id":"https://openalex.org/keywords/user-profile","display_name":"User profile","score":0.3517000079154968},{"id":"https://openalex.org/keywords/web-application","display_name":"Web application","score":0.3440999984741211}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7681000232696533},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.7017999887466431},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.6704999804496765},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5910000205039978},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5094000101089478},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4189999997615814},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.391400009393692},{"id":"https://openalex.org/C169093310","wikidata":"https://www.wikidata.org/wiki/Q3702971","display_name":"Personally identifiable information","level":2,"score":0.38440001010894775},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.36899998784065247},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.364300012588501},{"id":"https://openalex.org/C2780150774","wikidata":"https://www.wikidata.org/wiki/Q252500","display_name":"User profile","level":2,"score":0.3517000079154968},{"id":"https://openalex.org/C118643609","wikidata":"https://www.wikidata.org/wiki/Q189210","display_name":"Web application","level":2,"score":0.3440999984741211},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.33230000734329224},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3319000005722046},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.3296999931335449},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3222000002861023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.310699999332428},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C2989277270","wikidata":"https://www.wikidata.org/wiki/Q168338","display_name":"Behavioral analysis","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.27489998936653137},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C140547941","wikidata":"https://www.wikidata.org/wiki/Q7797194","display_name":"Threat model","level":2,"score":0.2581000030040741}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/2026.findings-acl.485","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.485","pdf_url":"https://aclanthology.org/2026.findings-acl.485.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: ACL 2026","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2505.12402","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2505.12402","pdf_url":"https://arxiv.org/pdf/2505.12402","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2505.12402","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2505.12402","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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:10.18653/v1/2026.findings-acl.485","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.485","pdf_url":"https://aclanthology.org/2026.findings-acl.485.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: ACL 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4417300717.pdf","grobid_xml":"https://content.openalex.org/works/W4417300717.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Impressive":[0],"progress":[1],"has":[2],"been":[3],"made":[4],"in":[5,83],"automated":[6,19,41,69],"problem-solving":[7],"by":[8],"the":[9,78,128],"collaboration":[10],"of":[11,80,87,152,160],"large":[12],"language":[13],"model":[14],"(LLM)":[15],"based":[16],"agents.However,":[17],"these":[18],"capabilities":[20],"also":[21,66],"open":[22],"avenues":[23],"for":[24,148],"malicious":[25],"applications.In":[26],"this":[27,153],"paper,":[28],"we":[29],"study":[30],"a":[31,104],"new":[32],"threat":[33],"that":[34,92,120],"LLMs":[35,49],"pose":[36],"to":[37,50,74,95],"online":[38,100],"pseudonymity,":[39],"called":[40,72],"profile":[42,105],"inference,":[43],"where":[44],"an":[45,68],"adversary":[46],"can":[47],"instruct":[48],"automatically":[51],"collect":[52],"and":[53,76,97,102,115,125,127,134,146],"extract":[54],"sensitive":[55],"personal":[56,108],"attributes":[57,130],"from":[58,143],"publicly":[59],"available":[60],"user":[61,99],"activities":[62,101],"on":[63,111],"pseudonymous":[64],"platforms.We":[65],"introduce":[67],"profiling":[70],"framework":[71],"AutoProfiler":[73,121],"demonstrate":[75],"assess":[77],"feasibility":[79],"such":[81],"attacks":[82],"real-world":[84,113],"scenarios.AutoProfiler":[85],"consists":[86],"four":[88],"specialized":[89],"LLM":[90],"agents":[91],"work":[93],"collaboratively":[94],"retrieve":[96],"process":[98],"generate":[103],"with":[106],"extracted":[107],"information.Experimental":[109],"results":[110],"two":[112],"datasets":[114],"one":[116],"synthetic":[117],"dataset":[118],"show":[119],"is":[122],"highly":[123],"effective":[124],"efficient,":[126],"inferred":[129],"are":[131],"both":[132],"identifiable":[133],"sensitive,":[135],"posing":[136],"significant":[137],"privacy":[138,155],"risks.We":[139],"explore":[140],"mitigation":[141],"strategies":[142],"different":[144],"perspectives":[145],"advocate":[147],"increased":[149],"public":[150],"awareness":[151],"emerging":[154],"threat.":[156],"Iterative":[157],"Profiling":[158],"Workflow":[159],"Agents\u2463":[161]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
