{"id":231549,"created":"2025-01-19T01:31:55.026999+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00231549","sets":["581:11107:11121"]},"path":["11121"],"owner":"44499","recid":"231549","title":["On Rényi Differential Privacy in Statistics-based Synthetic Data Generation"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-12-15"},"_buckets":{"deposit":"ce2b561d-53f7-434f-8acb-8c30f0c9aef0"},"_deposit":{"id":"231549","pid":{"type":"depid","value":"231549","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"On Rényi Differential Privacy in Statistics-based Synthetic Data Generation","author_link":["625197","625200","625196","625201","625202","625195","625194","625203","625192","625198","625193","625199"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"On Rényi Differential Privacy in Statistics-based Synthetic Data Generation"},{"subitem_title":"On Rényi Differential Privacy in Statistics-based Synthetic Data Generation","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[特集:次世代デジタルプラットフォームにおける情報流通を支えるセキュリティとトラスト（推薦論文）] synthetic data generation, Rényi differential privacy, privacy protection","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2023-12-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"NTT Social Informatics Laboratories"},{"subitem_text_value":"NTT Social Informatics Laboratories"},{"subitem_text_value":"NTT Social Informatics Laboratories"},{"subitem_text_value":"NTT Social Informatics Laboratories"},{"subitem_text_value":"NTT Social Informatics Laboratories"},{"subitem_text_value":"Faculty of Informatics, Gunma University"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"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","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":"Faculty of Informatics, Gunma University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/231549/files/IPSJ-JNL6412007.pdf","label":"IPSJ-JNL6412007.pdf"},"date":[{"dateType":"Available","dateValue":"2025-12-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL6412007.pdf","filesize":[{"value":"1.4 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"b97540e0-78fc-460b-b7c5-183f0409f5da","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Takayuki, Miura"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Toshiki, Shibahara"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masanobu, Kii"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Atsunori, Ichikawa"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Juko, Yamamoto"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Koji, Chida"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Takayuki, Miura","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Toshiki, Shibahara","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masanobu, Kii","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Atsunori, Ichikawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Juko, Yamamoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Koji, Chida","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_publisher_15":{"attribute_name":"公開者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Privacy protection with synthetic data generation often uses differentially private statistics and model parameters to quantitatively express theoretical security. However, these methods do not take into account privacy protection due to the randomness of data generation. In this paper, we theoretically evaluate Rényi differential privacy of the randomness in data generation of a synthetic data generation method that uses the mean vector and the covariance matrix of an original dataset. Specifically, for a fixed α > 1, we show the condition of ε such that the synthetic data generation satisfies (α, ε)-Rényi differential privacy under a bounded neighboring condition and an unbounded neighboring condition, respectively. In particular, under the unbounded condition, when the size of the original dataset and synthetic dataset is 10 million, the mechanism satisfies (4, 0.576)-Rényi differential privacy. We also show that when we translate it into the traditional (ε, δ)-differential privacy, the mechanism satisfies (4.46, 10-14)-differential privacy.\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.31(2023) (online)\nDOI　http://dx.doi.org/10.2197/ipsjjip.31.812\n------------------------------","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Privacy protection with synthetic data generation often uses differentially private statistics and model parameters to quantitatively express theoretical security. However, these methods do not take into account privacy protection due to the randomness of data generation. In this paper, we theoretically evaluate Rényi differential privacy of the randomness in data generation of a synthetic data generation method that uses the mean vector and the covariance matrix of an original dataset. Specifically, for a fixed α > 1, we show the condition of ε such that the synthetic data generation satisfies (α, ε)-Rényi differential privacy under a bounded neighboring condition and an unbounded neighboring condition, respectively. In particular, under the unbounded condition, when the size of the original dataset and synthetic dataset is 10 million, the mechanism satisfies (4, 0.576)-Rényi differential privacy. We also show that when we translate it into the traditional (ε, δ)-differential privacy, the mechanism satisfies (4.46, 10-14)-differential privacy.\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.31(2023) (online)\nDOI　http://dx.doi.org/10.2197/ipsjjip.31.812\n------------------------------","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicIssueDates":{"bibliographicIssueDate":"2023-12-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"12","bibliographicVolumeNumber":"64"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T10:43:41.160124+00:00","links":{}}