{"id":240988,"links":{},"created":"2025-01-19T01:45:29.644644+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00240988","sets":["6164:6165:6462:11854"]},"path":["11854"],"owner":"11","recid":"240988","title":["構造化状態空間モデルと拡散モデルを用いた差分プライベートな系列データ合成"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2024-10-15"},"_buckets":{"deposit":"a2d61f69-b73c-44d0-b956-a3f6589cd468"},"_deposit":{"id":"240988","pid":{"type":"depid","value":"240988","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"構造化状態空間モデルと拡散モデルを用いた差分プライベートな系列データ合成","author_link":["662633","662634","662635","662636","662637","662638","662639","662640","662641","662642","662643","662644","662645"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"構造化状態空間モデルと拡散モデルを用いた差分プライベートな系列データ合成","subitem_title_language":"ja"},{"subitem_title":"Differentially Private Sequential Data Synthesis with Structured State Space Models and Diffusion Models","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"合成データ，差分プライバシー，系列データ","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2024-10-15","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"大阪大学"},{"subitem_text_value":"NTT 社会情報研究所／大阪大学"},{"subitem_text_value":"NTT 社会情報研究所"},{"subitem_text_value":"NTT 社会情報研究所"},{"subitem_text_value":"NTT 社会情報研究所／大阪大学"},{"subitem_text_value":"NTT 社会情報研究所"},{"subitem_text_value":"奈良工業高等専門学校／大阪大学"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Osaka University","subitem_text_language":"en"},{"subitem_text_value":"NTT Social Informatics Laboratories / Osaka University","subitem_text_language":"en"},{"subitem_text_value":"NTT Social Informatics Laboratories","subitem_text_language":"en"},{"subitem_text_value":"NTT Social Informatics Laboratories","subitem_text_language":"en"},{"subitem_text_value":"NTT Social Informatics Laboratories / Osaka University","subitem_text_language":"en"},{"subitem_text_value":"NTT Social Informatics Laboratories","subitem_text_language":"en"},{"subitem_text_value":"National Institute of Technology, Nara College / Osaka University","subitem_text_language":"en"}]},"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 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Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"松本, 知優"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"三浦, 尭之"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"芝原, 俊樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"紀伊, 真昇"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岩花, 一輝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"税所, 修"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岡村, 真吾"}],"nameIdentifiers":[{}]}]},"item_18_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Tomoya, Matsumoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takayuki, Miura","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Toshiki, Shibahara l Masanobu Kii","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kazuki, Iwahana","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Osamu, Saisho","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shingo, Okamura","creatorNameLang":"en"}],"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_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"心電図や脳波などの系列データの利活用が進んでいるが，そのような系列データに含まれる個人のプライバシーの保護は重要な問題である．プライバシーへの配慮が求められるデータを安全かつ自由に扱えるようにするため，差分プライバシーに基づくデータ合成技術が注目されている．しかし，差分プライバシーを満たす合成データは生データに比べて品質が大きく低下するという問題がある．本稿では，まず先行研究の手法に品質面の課題があることを示し，続いてその課題を解決するため，構造化状態空間モデルと拡散モデルを組み合わせた差分プライベートな系列データ合成手法を提案する．実験では，等しいプライバシー保護強度の下で提案手法が先行研究よりも高品質な系列データを合成できることを示す．","subitem_description_type":"Other"}]},"item_18_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"The use of sequential data such as electrocardiograms and electroencephalograms is increasing, and protecting the privacy of individuals in sequential data is an important issue. Differentially private data synthesis technology has been attracting attention to enable safe and free data handling for which privacy considerations are required. However, the quality of differentially private synthetic data is often much lower than that of raw data. In this paper, we first show that there are quality issues in the previous methods. We then propose a differentially private sequential data synthesis method that combines a structured state space model and a diffusion model to solve these issues. Experiments show that the proposed method can synthesize higher quality sequential data than the previous studies under equal privacy protection strength.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1822","bibliographic_titles":[{"bibliographic_title":"コンピュータセキュリティシンポジウム2024論文集"}],"bibliographicPageStart":"1815","bibliographicIssueDates":{"bibliographicIssueDate":"2024-10-15","bibliographicIssueDateType":"Issued"}}]},"relation_version_is_last":true,"weko_creator_id":"11"},"updated":"2025-03-06T06:11:46.121144+00:00"}