{"created":"2023-05-15T12:00:28.633520+00:00","id":7289,"links":{},"metadata":{"_buckets":{"deposit":"6b47a7d8-4efd-4cc2-beb1-d735ce1992a3"},"_deposit":{"created_by":3,"id":"7289","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"7289"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00007289","sets":["8:24"]},"author_link":["31457","24877","31455"],"item_21_alternative_title_18":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"Backdoor attacks to deep neural network-based system for COVID-19 detection from chest X-ray images"}]},"item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2021-10-14","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"20","bibliographicPageEnd":"9556-10","bibliographicPageStart":"9556-1","bibliographicVolumeNumber":"11","bibliographic_titles":[{"bibliographic_title":"Applied Sciences"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Open-source deep neural networks (DNNs) for medical imaging are significant in emergent situations, such as during the pandemic of the 2019 novel coronavirus disease (COVID-19), since they accelerate the development of high-performance DNN-based systems. However, adversarial attacks are not negligible during open-source development. Since DNNs are used as computer-aided systems for COVID-19 screening from radiography images, we investigated the vulnerability of the COVID-Net model, a representative open-source DNN for COVID-19 detection from chest X-ray images to backdoor attacks that modify DNN models and cause their misclassification when a specific trigger input is added. The results showed that backdoors for both non-targeted attacks, for which DNNs classify inputs into incorrect labels, and targeted attacks, for which DNNs classify inputs into a specific target class, could be established in the COVID-Net model using a small trigger and small fraction of training data. Moreover, the backdoors were effective for models fine-tuned from the backdoored COVID-Net models, although the performance of non-targeted attacks was limited. This indicated that backdoored models could be spread via fine-tuning (thereby becoming a significant security threat). The findings showed that emphasis is required on open-source development and practical applications of DNNs for COVID-19 detection.","subitem_description_type":"Abstract"}]},"item_21_description_60":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Journal Article","subitem_description_type":"Other"}]},"item_21_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"31457","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Matsuo,  Y"}]},{"affiliations":[{"affiliationNames":[{"affiliationName":"","lang":"ja"}],"nameIdentifiers":[]}],"familyNames":[{"familyName":"Takemoto","familyNameLang":"en"},{"familyName":"竹本","familyNameLang":"ja"},{"familyName":"タケモト","familyNameLang":"ja-Kana"}],"givenNames":[{"givenName":"Kazuhiro","givenNameLang":"en"},{"givenName":"和広","givenNameLang":"ja"},{"givenName":"カズヒロ","givenNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"24877","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"40512356","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://nrid.nii.ac.jp/ja/nrid/1000040512356"},{"nameIdentifier":"35270356700 ","nameIdentifierScheme":"Scopus著者ID","nameIdentifierURI":"https://www.scopus.com/authid/detail.uri?authorId=35270356700 "},{"nameIdentifier":"0000-0002-6355-1366","nameIdentifierScheme":"ORCiD","nameIdentifierURI":"https://orcid.org/0000-0002-6355-1366"},{"nameIdentifier":"100000509","nameIdentifierScheme":"九工大研究者情報","nameIdentifierURI":"https://hyokadb02.jimu.kyutech.ac.jp/html/100000509_ja.html"}],"names":[{"name":"Takemoto, Kazuhiro","nameLang":"en"},{"name":"竹本, 和広","nameLang":"ja"},{"name":"タケモト, カズヒロ","nameLang":"ja-Kana"}]}]},"item_21_link_62":{"attribute_name":"研究者情報","attribute_value_mlt":[{"subitem_link_url":"https://hyokadb02.jimu.kyutech.ac.jp/html/100000509_ja.html"}]},"item_21_publisher_7":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"MDPI"}]},"item_21_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.3390/app11209556","subitem_relation_type_select":"DOI"}}]},"item_21_rights_13":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright (c) 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)."}]},"item_21_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_21_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2076-3417","subitem_source_identifier_type":"ISSN"}]},"item_21_subject_16":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"548","subitem_subject_scheme":"NDC"}]},"item_21_text_28":{"attribute_name":"論文ID（連携）","attribute_value_mlt":[{"subitem_text_value":"10383286"}]},"item_21_text_36":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Kyushu Institute of Technology"},{"subitem_text_value":"Kyushu Institute of Technology"}]},"item_21_text_63":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"9546"}]},"item_21_version_type_58":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Matsuo,  Yuki"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"Takemoto, Kazuhiro","creatorNameLang":"en"},{"creatorName":"竹本, 和広","creatorNameLang":"ja"},{"creatorName":"タケモト, カズヒロ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2021-10-15"}],"displaytype":"detail","filename":"applsci-11-09556.pdf","filesize":[{"value":"763.5 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"applsci-11-09556.pdf","url":"https://kyutech.repo.nii.ac.jp/record/7289/files/applsci-11-09556.pdf"},"version_id":"a19ce11c-4040-4de9-a3be-0a88ac14f124"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"deep neural networks","subitem_subject_scheme":"Other"},{"subitem_subject":"medical imaging","subitem_subject_scheme":"Other"},{"subitem_subject":"backdoor attacks","subitem_subject_scheme":"Other"},{"subitem_subject":"security and privacy","subitem_subject_scheme":"Other"},{"subitem_subject":"COVID-19","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Backdoor Attacks to Deep Neural Network-Based System for COVID-19 Detection from Chest X-ray Images","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Backdoor Attacks to Deep Neural Network-Based System for COVID-19 Detection from Chest X-ray Images"}]},"item_type_id":"21","owner":"3","path":["24"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-10-15"},"publish_date":"2021-10-15","publish_status":"0","recid":"7289","relation_version_is_last":true,"title":["Backdoor Attacks to Deep Neural Network-Based System for COVID-19 Detection from Chest X-ray Images"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-10-25T09:26:49.736500+00:00"}