{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00232724","sets":["1164:4619:11539:11552"]},"path":["11552"],"owner":"44499","recid":"232724","title":["色情報の加工によるAdversarial Exampleの無効化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-02-25"},"_buckets":{"deposit":"0cc7aa6e-0a2e-4b91-b15c-ba706c7242aa"},"_deposit":{"id":"232724","pid":{"type":"depid","value":"232724","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"色情報の加工によるAdversarial Exampleの無効化","author_link":["630687","630689","630688","630686"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"色情報の加工によるAdversarial Exampleの無効化"},{"subitem_title":"Disabling Adversarial Examples through Color Information Processing","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2024-02-25","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"早稲田大学"},{"subitem_text_value":"早稲田大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Waseda University","subitem_text_language":"en"},{"subitem_text_value":"Waseda University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/232724/files/IPSJ-CVIM24237033.pdf","label":"IPSJ-CVIM24237033.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM24237033.pdf","filesize":[{"value":"1.2 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"08c8af23-47ac-46a3-afc8-9931c6f095c5","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"添田, 遼"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"内田, 真人"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ryo, Soeda","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masato, Uchida","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11131797","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":"2188-8701","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ニューラルネットワークによる画像分類は，自動運転などへの幅広い応用が期待されている．しかし，ニューラルネットワークは Adversarial Example を用いた攻撃に対して脆弱である．本研究では，Adversarial Example において付加されるノイズのバランスを崩すという新たな着想に基づいた防御手法を提案する．具体的には，画像の色情報を意図的に一部加工させることでノイズのバランスを崩す手法を提案する．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Image classification using neural networks is expected to have a wide range of applications, including automated driving. However, neural networks are vulnerable to adversarial example attacks. This study proposes a new defense method based on a new idea of disturbing the noise balance added in the adversarial example. Specifically, we propose a method to disable the noise balance by intentionally processing the color information in an image.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータビジョンとイメージメディア（CVIM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-02-25","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"33","bibliographicVolumeNumber":"2024-CVIM-237"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":232724,"updated":"2025-01-19T10:20:31.090703+00:00","links":{},"created":"2025-01-19T01:33:45.217550+00:00"}