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Titlebook: Database Anonymization; Privacy Models, Data Josep Domingo-Ferrer,David Sánchez,Jordi Soria-Com Book 2016 Springer Nature Switzerland AG 20

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21#
發(fā)表于 2025-3-25 04:09:12 | 只看該作者
The Superpowers and the October Ward/or attribute disclosure. These are tightly related to the two views of privacy that have been presented in Chapter 2: anonymity (it should not be possible to re-identify any individual in the published data) and confidentiality or secrecy (access to the released data should not reveal confidential
22#
發(fā)表于 2025-3-25 08:05:48 | 只看該作者
23#
發(fā)表于 2025-3-25 13:18:45 | 只看該作者
Conclusions and Research Directions,d/or attribute disclosure. These are tightly related to the two views of privacy that have been presented in Chapter 2: anonymity (it should not be possible to re-identify any individual in the published data) and confidentiality or secrecy (access to the released data should not reveal confidential information related to any specific individual).
24#
發(fā)表于 2025-3-25 18:47:30 | 只看該作者
https://doi.org/10.1057/9780230371576Although differential privacy was designed as a privacy model for queryable databases, as introduced in Section 8.6, several methods to generate differentially private data sets have been proposed. This chapter reviews perturbative masking approaches to generate a differentially private data set aimed at being as general as .-anonymity [96, 97].
25#
發(fā)表于 2025-3-26 00:01:22 | 只看該作者
26#
發(fā)表于 2025-3-26 03:20:09 | 只看該作者
978-3-031-01219-8Springer Nature Switzerland AG 2016
27#
發(fā)表于 2025-3-26 05:13:27 | 只看該作者
Database Anonymization978-3-031-02347-7Series ISSN 1945-9742 Series E-ISSN 1945-9750
28#
發(fā)表于 2025-3-26 08:29:11 | 只看該作者
29#
發(fā)表于 2025-3-26 14:28:01 | 只看該作者
The Superpowers and the October Ward/or attribute disclosure. These are tightly related to the two views of privacy that have been presented in Chapter 2: anonymity (it should not be possible to re-identify any individual in the published data) and confidentiality or secrecy (access to the released data should not reveal confidential information related to any specific individual).
30#
發(fā)表于 2025-3-26 18:44:23 | 只看該作者
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