{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00196218","sets":["6504:9795:9814"]},"path":["9814"],"owner":"6748","recid":"196218","title":["機械学習システムの構成に基づくセキュリティ分析"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-02-28"},"_buckets":{"deposit":"1fdfb9f0-32a6-46e7-aa12-69a716f8171b"},"_deposit":{"id":"196218","pid":{"type":"depid","value":"196218","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"機械学習システムの構成に基づくセキュリティ分析","author_link":["469388","469389"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"機械学習システムの構成に基づくセキュリティ分析"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"セキュリティ","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2019-02-28","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"日銀"},{"subitem_text_value":"日銀"}]},"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/196218/files/IPSJ-Z81-2F-05.pdf","label":"IPSJ-Z81-2F-05.pdf"},"date":[{"dateType":"Available","dateValue":"2019-05-27"}],"format":"application/pdf","filename":"IPSJ-Z81-2F-05.pdf","filesize":[{"value":"398.9 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"3c99f755-2004-4e3e-a0bf-7d50c538e49a","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"井上, 紫織"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"宇根, 正志"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年、さまざまな領域で、人工知能、とりわけ機械学習システムの活用にかかる検討が進んでいる。機械学習システムには、情報システム一般に存在する脆弱性に加え、特有の脆弱性も存在する。機械学習システムを安全かつ安定的に利用していくためには、こうした脆弱性を悪用する攻撃について、予め対策を十分に検討しておくことが肝要である。本発表では、想定しうる機械学習システムの構成を分類・整理したうえで、各構成における脅威・リスクと対策を分析する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"376","bibliographic_titles":[{"bibliographic_title":"第81回全国大会講演論文集"}],"bibliographicPageStart":"375","bibliographicIssueDates":{"bibliographicIssueDate":"2019-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2019"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"updated":"2025-01-19T22:46:56.153792+00:00","created":"2025-01-19T01:00:55.369237+00:00","id":196218}