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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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

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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).

Institution

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].

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978-3-031-01219-8Springer Nature Switzerland AG 2016

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Database Anonymization978-3-031-02347-7Series ISSN 1945-9742 Series E-ISSN 1945-9750

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Overdose

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).

Aphorism