WEKO3
アイテム
A Review on Machine Unlearning
http://hdl.handle.net/10228/0002000802
http://hdl.handle.net/10228/0002000802a189508b-0737-4f12-914e-c1e6684f4b09
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
10435527.pdf (1.7 MB)
|
|
| Item type | 学術雑誌論文 = Journal Article(1) | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2024-06-19 | |||||||||||||||||||
| 資源タイプ | ||||||||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||||||
| 資源タイプ | journal article | |||||||||||||||||||
| タイトル | ||||||||||||||||||||
| タイトル | A Review on Machine Unlearning | |||||||||||||||||||
| 言語 | en | |||||||||||||||||||
| 言語 | ||||||||||||||||||||
| 言語 | eng | |||||||||||||||||||
| 著者 |
張, 海波
× 張, 海波
WEKO
35483
× Nakamura, Toru
× Isohara, Takamasa
× Sakurai, Kouichi
|
|||||||||||||||||||
| 抄録 | ||||||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||||||
| 内容記述 | Recently, an increasing number of laws have governed the useability of users’ privacy. For example, Article 17 of the General Data Protection Regulation (GDPR), the right to be forgotten, requires machine learning applications to remove a portion of data from a dataset and retrain it if the user makes such a request. Furthermore, from the security perspective, training data for machine learning models, i.e., data that may contain user privacy, should be effectively protected, including appropriate erasure. Therefore, researchers propose various privacy-preserving methods to deal with such issues as machine unlearning. This paper provides an in-depth review of the security and privacy concerns in machine learning models. First, we present how machine learning can use users’ private data in daily life and the role that the GDPR plays in this problem. Then, we introduce the concept of machine unlearning by describing the security threats in machine learning models and how to protect users’ privacy from being violated using machine learning platforms. As the core content of the paper, we introduce and analyze current machine unlearning approaches and several representative results and discuss them in the context of the data lineage. Furthermore, we also discuss the future research challenges in this field. | |||||||||||||||||||
| 言語 | en | |||||||||||||||||||
| 書誌情報 |
en : SN Computer Science 巻 4, 号 4, p. 337, 発行日 2023-04-19 |
|||||||||||||||||||
| 出版社 | ||||||||||||||||||||
| 出版者 | Springer | |||||||||||||||||||
| DOI | ||||||||||||||||||||
| 識別子タイプ | DOI | |||||||||||||||||||
| 関連識別子 | https://doi.org/10.1007/s42979-023-01767-4 | |||||||||||||||||||
| ISSN | ||||||||||||||||||||
| 収録物識別子タイプ | EISSN | |||||||||||||||||||
| 収録物識別子 | 2661-8907 | |||||||||||||||||||
| 著作権関連情報 | ||||||||||||||||||||
| 権利情報 | Copyright (c) The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2023. This is a post-peer-review, pre-copyedit version of an article published in SN Computer Science. The final authenticated version is available online at: https://doi.org/10.1007/s42979-023-01767-4. | |||||||||||||||||||
| キーワード | ||||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||||
| 主題 | Machine learning | |||||||||||||||||||
| キーワード | ||||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||||
| 主題 | Security | |||||||||||||||||||
| キーワード | ||||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||||
| 主題 | Privacy | |||||||||||||||||||
| キーワード | ||||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||||
| 主題 | Machine unlearning | |||||||||||||||||||
| キーワード | ||||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||||
| 主題 | Data lineage | |||||||||||||||||||
| 出版タイプ | ||||||||||||||||||||
| 出版タイプ | AM | |||||||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||||||||||
| 査読の有無 | ||||||||||||||||||||
| 値 | yes | |||||||||||||||||||
| 研究者情報 | ||||||||||||||||||||
| URL | https://hyokadb02.jimu.kyutech.ac.jp/html/100001768_ja.html | |||||||||||||||||||
| 論文ID（連携） | ||||||||||||||||||||
| 値 | 10435527 | |||||||||||||||||||
| 連携ID | ||||||||||||||||||||
| 値 | 12351 | |||||||||||||||||||
