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Privacy Technologies and Policy

Overview of attention for book
Cover of 'Privacy Technologies and Policy'

Table of Contents

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    Book Overview
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    Chapter 1 The GDPR and Big Data: Leading the Way for Big Genetic Data?
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    Chapter 2 Towards a Privacy-Preserving Reliable European Identity Ecosystem
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    Chapter 3 Forget Me, Forget Me Not - Redefining the Boundaries of the Right to Be Forgotten to Address Current Problems and Areas of Criticism
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    Chapter 4 A Refinement Approach for the Reuse of Privacy Risk Analysis Results
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    Chapter 5 A Gamified Approach to Explore Techniques of Neutralization of Threat Actors in Cybercrime
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    Chapter 6 Privacy by Design Data Exchange Between CSIRTs
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    Chapter 7 Mr X vs. Mr Y: The Emergence of Externalities in Differential Privacy
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    Chapter 8 Diffix: High-Utility Database Anonymization
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    Chapter 9 Towards a Principled Approach for Engineering Privacy by Design
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    Chapter 10 PrivacyScore: Improving Privacy and Security via Crowd-Sourced Benchmarks of Websites
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    Chapter 11 Privacy Data Management and Awareness for Public Administrations: A Case Study from the Healthcare Domain
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    Chapter 12 Better Data Protection by Design Through Multicriteria Decision Making: On False Tradeoffs Between Privacy and Utility
Attention for Chapter 7: Mr X vs. Mr Y: The Emergence of Externalities in Differential Privacy
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5 Mendeley
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Chapter title
Mr X vs. Mr Y: The Emergence of Externalities in Differential Privacy
Chapter number 7
Book title
Privacy Technologies and Policy
Published by
Springer, Cham, June 2017
DOI 10.1007/978-3-319-67280-9_7
Book ISBNs
978-3-31-967279-3, 978-3-31-967280-9
Authors

Maurizio Naldi, Giuseppe D’Acquisto, Naldi, Maurizio, D’Acquisto, Giuseppe

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 3 60%
Student > Ph. D. Student 1 20%
Researcher 1 20%
Readers by discipline Count As %
Computer Science 2 40%
Business, Management and Accounting 1 20%
Unknown 2 40%

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