{"id":"https://openalex.org/W7147454203","doi":"https://doi.org/10.1109/mc.2026.3658181","title":"Protecting AI From Training Data Contamination","display_name":"Protecting AI From Training Data Contamination","publication_year":2026,"publication_date":"2026-03-31","ids":{"openalex":"https://openalex.org/W7147454203","doi":"https://doi.org/10.1109/mc.2026.3658181"},"language":null,"primary_location":{"id":"doi:10.1109/mc.2026.3658181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mc.2026.3658181","pdf_url":null,"source":{"id":"https://openalex.org/S178916657","display_name":"Computer","issn_l":"0018-9162","issn":["0018-9162","1558-0814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029212748","display_name":"Doron Drusinsky","orcid":"https://orcid.org/0000-0002-1723-8467"},"institutions":[{"id":"https://openalex.org/I35364215","display_name":"Naval Postgraduate School","ror":"https://ror.org/033yfkj90","country_code":"US","type":"education","lineage":["https://openalex.org/I1330347796","https://openalex.org/I3130687028","https://openalex.org/I35364215"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Doron Drusinsky","raw_affiliation_strings":["Naval Postgraduate School, Monterey, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-1723-8467","affiliations":[{"raw_affiliation_string":"Naval Postgraduate School, Monterey, CA, USA","institution_ids":["https://openalex.org/I35364215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057042972","display_name":"James Bret Michael","orcid":"https://orcid.org/0000-0003-3777-9858"},"institutions":[{"id":"https://openalex.org/I35364215","display_name":"Naval Postgraduate School","ror":"https://ror.org/033yfkj90","country_code":"US","type":"education","lineage":["https://openalex.org/I1330347796","https://openalex.org/I3130687028","https://openalex.org/I35364215"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Bret Michael","raw_affiliation_strings":["Naval Postgraduate School, Monterey, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3777-9858","affiliations":[{"raw_affiliation_string":"Naval Postgraduate School, Monterey, CA, USA","institution_ids":["https://openalex.org/I35364215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I35364215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36333884,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"59","issue":"4","first_page":"145","last_page":"155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.6869999766349792,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.6869999766349792,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.04769999906420708,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.01810000091791153,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6000999808311462},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.399399995803833},{"id":"https://openalex.org/keywords/cryptocurrency","display_name":"Cryptocurrency","score":0.3723999857902527},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3156000077724457}],"concepts":[{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6000999808311462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5753999948501587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44290000200271606},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.399399995803833},{"id":"https://openalex.org/C180706569","wikidata":"https://www.wikidata.org/wiki/Q13479982","display_name":"Cryptocurrency","level":2,"score":0.3723999857902527},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3303000032901764},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29510000348091125},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25690001249313354},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mc.2026.3658181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mc.2026.3658181","pdf_url":null,"source":{"id":"https://openalex.org/S178916657","display_name":"Computer","issn_l":"0018-9162","issn":["0018-9162","1558-0814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1589034595","https://openalex.org/W1970606468","https://openalex.org/W2043007983","https://openalex.org/W4205577272","https://openalex.org/W4281980780","https://openalex.org/W4317748910","https://openalex.org/W4391652484","https://openalex.org/W4392954989","https://openalex.org/W4393570265","https://openalex.org/W4402263672","https://openalex.org/W4403278160","https://openalex.org/W4414463127","https://openalex.org/W4417001358","https://openalex.org/W4417076749"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1],"advent":[2],"of":[3,22],"generative":[4],"artificial":[5],"intelligence":[6],"(GAI)":[7],"there":[8],"is":[9],"risk":[10],"that":[11],"training":[12],"data":[13],"for":[14],"GAI":[15,23,33],"can":[16],"become":[17],"contaminated,":[18],"resulting":[19],"in":[20],"skewing":[21],"output.":[24],"We":[25],"propose":[26],"a":[27],"cryptocurrency":[28],"verification":[29],"network":[30],"to":[31],"armor-plate":[32],"against":[34],"external":[35],"contamination.":[36]},"counts_by_year":[],"updated_date":"2026-04-02T13:53:19.096889","created_date":"2026-04-02T00:00:00"}
