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Privacy in Statistical Databases: International Conference, PSD 2022, Paris, France, September 21-23, 2022, Proceedings. 1st ed. 2022
・ISBN 978-3-031-13944-4 paper EUR 49.99
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| 著者・編者 | Domingo-Ferrer, Josep / Laurent, Maryline (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Computer Science) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2022 |
| ページ数 | 376 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-60881＞ |
解説
?This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2022, held in Paris, France, during September 21-23, 2022.
The 25 papers presented in this volume were carefully reviewed and selected from 45 submissions. They were organized in topical sections as follows: Privacy models; tabular data; disclosure risk assessment and record linkage; privacy-preserving protocols; unstructured and mobility data; synthetic data; machine learning and privacy; and case studies.
The 25 papers presented in this volume were carefully reviewed and selected from 45 submissions. They were organized in topical sections as follows: Privacy models; tabular data; disclosure risk assessment and record linkage; privacy-preserving protocols; unstructured and mobility data; synthetic data; machine learning and privacy; and case studies.