{"id":"https://openalex.org/W7164164002","doi":"https://doi.org/10.48550/arxiv.2606.09908","title":"IDP-Bench: Benchmarking ability of LLMs to protect personal information in interdependent privacy contexts","display_name":"IDP-Bench: Benchmarking ability of LLMs to protect personal information in interdependent privacy contexts","publication_year":2026,"publication_date":"2026-06-06","ids":{"openalex":"https://openalex.org/W7164164002","doi":"https://doi.org/10.48550/arxiv.2606.09908"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.09908","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.09908","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":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.2606.09908","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121171996","display_name":"Ayana Hussain","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hussain, Ayana","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138288926","display_name":"Soumya Sharma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sharma, Soumya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053667504","display_name":"Golnoosh Farnadi","orcid":"https://orcid.org/0000-0003-4504-8668"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Farnadi, Golnoosh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138392236","display_name":"Nicholas Vincent","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vincent, Nicholas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122609876","display_name":"H\u00e9ber Hwang Arcolezi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arcolezi, H\u00e9ber Hwang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138364604","display_name":"Ulrich A\u00efvodji","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A\u00efvodji, Ulrich","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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.20080000162124634,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.20080000162124634,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.14910000562667847,"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/T12128","display_name":"AI in Service Interactions","score":0.061400000005960464,"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/benchmarking","display_name":"Benchmarking","score":0.8025000095367432},{"id":"https://openalex.org/keywords/interdependence","display_name":"Interdependence","score":0.6132000088691711},{"id":"https://openalex.org/keywords/personally-identifiable-information","display_name":"Personally identifiable information","score":0.5665000081062317},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4632999897003174},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4219000041484833},{"id":"https://openalex.org/keywords/data-sharing","display_name":"Data sharing","score":0.40610000491142273},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.3711000084877014},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.33399999141693115}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8025000095367432},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.6180999875068665},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.6132000088691711},{"id":"https://openalex.org/C169093310","wikidata":"https://www.wikidata.org/wiki/Q3702971","display_name":"Personally identifiable information","level":2,"score":0.5665000081062317},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4632999897003174},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42800000309944153},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4219000041484833},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.40610000491142273},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.39500001072883606},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3711000084877014},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.36910000443458557},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.36059999465942383},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.33480000495910645},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.33399999141693115},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.3118000030517578},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.31049999594688416},{"id":"https://openalex.org/C2776854237","wikidata":"https://www.wikidata.org/wiki/Q6031064","display_name":"Information sharing","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C69360830","wikidata":"https://www.wikidata.org/wiki/Q1172237","display_name":"Data Protection Act 1998","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C156325361","wikidata":"https://www.wikidata.org/wiki/Q1152864","display_name":"Grounded theory","level":3,"score":0.30000001192092896},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2775999903678894},{"id":"https://openalex.org/C193934123","wikidata":"https://www.wikidata.org/wiki/Q7246028","display_name":"Privacy by Design","level":3,"score":0.2728999853134155},{"id":"https://openalex.org/C71611378","wikidata":"https://www.wikidata.org/wiki/Q5165191","display_name":"Contextual design","level":3,"score":0.27079999446868896},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.26649999618530273},{"id":"https://openalex.org/C2910417920","wikidata":"https://www.wikidata.org/wiki/Q4116434","display_name":"Patient privacy","level":3,"score":0.26440000534057617},{"id":"https://openalex.org/C102938260","wikidata":"https://www.wikidata.org/wiki/Q1999831","display_name":"Privacy policy","level":3,"score":0.2590999901294708},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.09908","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.09908","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:10.48550/arxiv.2606.09908","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.09908","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7048861384391785,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2,100,123],"(LLMs)":[3],"are":[4],"becoming":[5],"widely":[6],"deployed":[7],"as":[8,118],"personal":[9],"AI":[10],"assistants":[11],"with":[12,148],"access":[13],"to":[14,130,141,152],"sensitive":[15],"user":[16],"data,":[17],"making":[18],"privacy":[19,37,175],"a":[20],"major":[21],"challenge":[22],"for":[23,63,167],"their":[24,48,79],"design":[25],"and":[26,114,157],"evaluation.":[27],"Prior":[28],"work":[29],"focuses":[30],"mainly":[31],"on":[32,78,162],"individual-level":[33],"risks,":[34],"overlooking":[35],"\\textbf{interdependent":[36],"(IDP)}--where":[38],"one":[39],"person's":[40],"data":[41],"may":[42],"be":[43],"revealed":[44],"by":[45,56],"others":[46],"without":[47],"knowledge":[49],"or":[50],"consent.":[51],"We":[52,73],"address":[53],"this":[54],"gap":[55],"introducing":[57],"\\textbf{IDP-Bench}:":[58],"the":[59,68,139,143,165],"first":[60],"LLM":[61,92,174],"benchmark":[62],"IDP":[64,82,88,172],"scenarios,":[65],"grounded":[66],"in":[67,106,154,173],"Contextual":[69],"Integrity":[70],"(CI)":[71],"framework.":[72],"evaluate":[74],"eight":[75],"open-source":[76],"LLMs":[77],"understanding":[80],"of":[81,87,145,171],"scenarios":[83],"across":[84],"three":[85],"levels":[86],"reasoning":[89],"using":[90],"two":[91],"judges.":[93],"Results":[94],"show":[95],"strong":[96],"co-ownership":[97],"recognition":[98],"(6/8":[99],"exceed":[101],"90\\%)":[102],"but":[103],"persistent":[104],"weaknesses":[105],"identifying":[107],"CI":[108],"parameters":[109,116],"(information":[110],"attribute,":[111],"primary":[112],"subject)":[113],"IDP-specific":[115,163],"such":[117],"secondary":[119],"subjects,":[120],"where":[121],"7/8":[122],"score":[124],"below":[125,136],"74\\%.":[126],"Models":[127],"also":[128],"struggle":[129],"judge":[131,142],"sharing":[132,146],"appropriateness":[133,144],"(5/8":[134],"scoring":[135],"77\\%).":[137],"While":[138],"ability":[140],"improves":[147],"scale,":[149],"performance":[150],"tends":[151],"decline":[153],"smaller":[155],"models,":[156],"prompt":[158],"sensitivity":[159],"remains":[160],"high":[161],"questions--highlighting":[164],"need":[166],"more":[168],"targeted":[169],"study":[170],"research.":[176],"Data":[177],"\\&amp;":[178],"code":[179],"available":[180],"\\href{https://github.com/tisl-lab/Interdependent_Privacy_Bench}{here}.":[181]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-11T00:00:00"}
