{"id":"https://openalex.org/W7164893569","doi":"https://doi.org/10.48550/arxiv.2606.14748","title":"Is My Vision-Language Data in Your AI? Membership Inference Test (MINT) Demo 2","display_name":"Is My Vision-Language Data in Your AI? Membership Inference Test (MINT) Demo 2","publication_year":2026,"publication_date":"2026-06-05","ids":{"openalex":"https://openalex.org/W7164893569","doi":"https://doi.org/10.48550/arxiv.2606.14748"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.14748","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14748","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":null,"license_id":null,"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.2606.14748","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075608994","display_name":"Daniel DeAlcala","orcid":"https://orcid.org/0000-0001-9243-6108"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"DeAlcala, Daniel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093932132","display_name":"Gonzalo Mancera","orcid":"https://orcid.org/0009-0000-9339-9337"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mancera, Gonzalo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138719269","display_name":"Julian Fierrez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fierrez, Julian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083125799","display_name":"Aythami Morales","orcid":"https://orcid.org/0000-0002-7268-4785"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Morales, Aythami","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136060026","display_name":"Ruben Tolosana","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tolosana, Ruben","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5132691181","display_name":"Ruben Vera-Rodriguez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vera-Rodriguez, Ruben","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/T11448","display_name":"Face recognition and analysis","score":0.6122000217437744,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11448","display_name":"Face recognition and analysis","score":0.6122000217437744,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.05310000106692314,"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/T11094","display_name":"Face Recognition and Perception","score":0.047200001776218414,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.7017999887466431},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6644999980926514},{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.5342000126838684},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4560999870300293},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4406000077724457},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4361000061035156},{"id":"https://openalex.org/keywords/web-application","display_name":"Web application","score":0.3734000027179718}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7401999831199646},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.7017999887466431},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6644999980926514},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.5342000126838684},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5228000283241272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46399998664855957},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4560999870300293},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4406000077724457},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4361000061035156},{"id":"https://openalex.org/C118643609","wikidata":"https://www.wikidata.org/wiki/Q189210","display_name":"Web application","level":2,"score":0.3734000027179718},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35199999809265137},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3416999876499176},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.32190001010894775},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.30640000104904175},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.262800008058548}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.14748","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14748","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.14748","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14748","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,37],"present":[1],"the":[2,39,50,56,88],"Membership":[3],"Inference":[4],"Test":[5],"(MINT)":[6],"Demo":[7],"2,":[8],"a":[9,22,65,103,119,132,146],"framework":[10,41],"designed":[11],"to":[12,95,111,130,140,149],"improve":[13],"transparency":[14,143],"in":[15,87],"machine":[16,33],"learning":[17,34],"training":[18,91],"processes.":[19],"MINT":[20,47],"is":[21],"technique":[23],"for":[24,46],"experimentally":[25],"determining":[26],"whether":[27],"specific":[28],"data":[29,92],"were":[30],"used":[31],"during":[32],"model":[35],"training.":[36],"establish":[38],"theoretical":[40],"and":[42,73,76,80,113,126,144],"propose":[43],"multiple":[44],"architectures":[45],"depending":[48],"on":[49,98],"amount":[51],"of":[52,90,93,135],"information":[53],"known":[54],"about":[55],"models":[57],"that":[58,107],"are":[59],"being":[60],"audited.":[61],"Experimental":[62],"results":[63],"using":[64],"popular":[66],"face":[67],"recognition":[68],"model,":[69],"4":[70],"state-of-the-art":[71],"LLMs,":[72],"multiple,":[74],"diverse,":[75],"large-scale":[77],"public":[78],"image":[79,112],"text":[81,114],"databases":[82],"achieve":[83],"promising":[84],"accuracy":[85],"levels":[86],"detection":[89],"up":[94],"90%.":[96],"Building":[97],"these":[99,109],"results,":[100],"we":[101],"introduce":[102],"comprehensive":[104],"web":[105],"platform1":[106],"expands":[108],"capabilities":[110],"modalities.":[115],"The":[116],"platform":[117],"integrates":[118],"diverse":[120],"technological":[121],"stack,":[122],"including":[123],"MINT,":[124],"aMINT,":[125],"gMINT,":[127],"allowing":[128],"users":[129],"audit":[131],"wide":[133],"range":[134],"models.":[136],"This":[137],"demonstrator":[138],"aims":[139],"promote":[141],"AI":[142,154],"provides":[145],"practical":[147],"tool":[148],"foster":[150],"compliance":[151],"with":[152],"emerging":[153],"regulations.":[155]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-17T00:00:00"}
