| 書目名稱 | Privacy in Statistical Databases |
| 副標(biāo)題 | UNESCO Chair in Data |
| 編輯 | Josep Domingo-Ferrer,Krishnamurty Muralidhar |
| 視頻video | http://file.papertrans.cn/757/756049/756049.mp4 |
| 叢書名稱 | Lecture Notes in Computer Science |
| 圖書封面 |  |
| 描述 | .This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2020, held in Tarragona, Spain, in September 2020 under the sponsorship of the UNESCO Chair in Data Privacy..The 25 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized into the following topics: privacy models; microdata protection; protection of statistical tables; protection of interactive and mobility databases; record linkage and alternative methods; synthetic data; data quality; and case studies..The Chapter “Explaining recurrent machine learning models: integral privacy revisited” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.. |
| 出版日期 | Conference proceedings 2020 |
| 關(guān)鍵詞 | access control; anonymization; artificial intelligence; computer networks; computer security; correlation |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-57521-2 |
| isbn_softcover | 978-3-030-57520-5 |
| isbn_ebook | 978-3-030-57521-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer Nature Switzerland AG 2020 |
|Archiver|手機(jī)版|小黑屋|
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