{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00237287","sets":["1164:3925:11477:11663"]},"path":["11663"],"owner":"44499","recid":"237287","title":["CAPT-AI:能力の差を用いたAIモデルの識別手法の検討(その2)"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-07-15"},"_buckets":{"deposit":"2fdf0fc9-4394-42ed-8a9c-c13ee1c9ab76"},"_deposit":{"id":"237287","pid":{"type":"depid","value":"237287","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"CAPT-AI:能力の差を用いたAIモデルの識別手法の検討(その2)","author_link":["649437","649434","649445","649433","649431","649432","649439","649442","649435","649446","649436","649438","649443","649444","649440","649441"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"CAPT-AI:能力の差を用いたAIモデルの識別手法の検討(その2)"},{"subitem_title":"CAPT-AI: Study on AI Model identification using differences in ability (Part 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Kiribuchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Toshiki, Shibahara","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tetsushi, Ohki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masakatsu, Nishigaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11235941","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8655","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年,情報技術の急速な発展により,様々な AI モデルが社会に普及している.そのような社会において,他者が作成した AI モデルを誰もが安心して利用できる仕組みが必要である.仕組みの一つとして,公開鍵基盤(PKI)における証明書(データなど)のデジタル署名による正規 AI モデルの識別手法が考えられる.しかし,将来的な AI モデルは静的ではなく日々変化していくと考えられるため,この仕組みでは AI モデルの変化によって改竄が行われたと誤認識される恐れがある.そこで,本研究では,継続的に変化する AI モデルを考慮した AI モデル識別手法を提案する.「AI モデルの擬人化」による AI モデル識別の要件化,「能力に基づく識別」による AI モデル識別の手法化を検討し,そのような識別手法を CAPT-AI:Completely Automated Public Test To Tell Ability of Artificial Intelligence と呼ぶ.CAPT-AI では,様々な AI モデルを識別することを目的としている.本稿では,第一歩として,LLM を対象とした CAPT-AI によるモデル識別に関する検討を行い,識別性能を評価するための基礎実験を行う.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータセキュリティ(CSEC)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-07-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"81","bibliographicVolumeNumber":"2024-CSEC-106"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":237287,"updated":"2025-01-19T08:55:55.800090+00:00","links":{},"created":"2025-01-19T01:39:50.025247+00:00"}