{"id":219032,"updated":"2025-01-19T14:56:57.577589+00:00","links":{},"created":"2025-01-19T01:19:22.025474+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00219032","sets":["1164:1384:10896:10984"]},"path":["10984"],"owner":"44499","recid":"219032","title":["隠れニューラルネットワークを用いた敵対的画像の検出システム"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-07-21"},"_buckets":{"deposit":"ce435035-7301-4b3e-86e3-b682a3a0aea4"},"_deposit":{"id":"219032","pid":{"type":"depid","value":"219032","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"隠れニューラルネットワークを用いた敵対的画像の検出システム","author_link":["570827","570832","570829","570826","570831","570833","570830","570828"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"隠れニューラルネットワークを用いた敵対的画像の検出システム"},{"subitem_title":"Detecting adversarial images in a classification system with a hidden neural network","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2022-07-21","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"富士通株式会社"},{"subitem_text_value":"富士通株式会社"},{"subitem_text_value":"富士通株式会社"},{"subitem_text_value":"富士通株式会社"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Fujitsu Ltd.","subitem_text_language":"en"},{"subitem_text_value":"Fujitsu Ltd.","subitem_text_language":"en"},{"subitem_text_value":"Fujitsu Ltd.","subitem_text_language":"en"},{"subitem_text_value":"Fujitsu Ltd.","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/219032/files/IPSJ-SE22211006.pdf","label":"IPSJ-SE22211006.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SE22211006.pdf","filesize":[{"value":"1.4 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"12"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"bccd307c-3e68-4169-906c-10c12908d538","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 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":"フォンタネシ, ミケレ"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田渕, 晶大"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"ダン, タン"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田原, 司睦"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Michele, Fontanesi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Akihiro, Tabuchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Thang, Dang","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tsuguchika, Tabaru","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10112981","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":"2188-8825","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"畳み込みニューラルネットワークは，人間が見ても気づかない程度の変化を画像に与えてモデルをだます敵対的データの存在によって広範囲への適用が制限されている．この論文では，ホワイトボックス攻撃とクラスタリング技術に基づき，敵対的データを判別するシンプルなフレームワークを提案する．我々の提案は，容易に誤分類されるラベルのクラスタごとに隠れニューラルネットワークを用いることで学習済み画像分類モデルを保護する点に特徴がある．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"The wide broad adoption of convolutional neural networks is currently constrained by the existence of adversarial examples, carefully perturbed images, unrecognizable by human beings, but able to fool a model. In this work, we propose a simple framework, based on white box attacks and clustering techniques, to implement detection capabilities against adversarial examples. Our proposal features multiple hidden neural networks, trained on clusters of easily misclassified labels, to protect a pretrained image classification model.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告ソフトウェア工学（SE）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-07-21","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"6","bibliographicVolumeNumber":"2022-SE-211"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}