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Privacy and Identity Management. Data for Better Living: AI and Privacy

Overview of attention for book
Cover of 'Privacy and Identity Management. Data for Better Living: AI and Privacy'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Privacy as Enabler of Innovation
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    Chapter 2 Fair Enough? On (Avoiding) Bias in Data, Algorithms and Decisions
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    Chapter 3 Opportunities and Challenges of Dynamic Consent in Commercial Big Data Analytics
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    Chapter 4 Identity Management: State of the Art, Challenges and Perspectives
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    Chapter 5 SoK: Cryptography for Neural Networks
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    Chapter 6 Workshop on Privacy Challenges in Public and Private Organizations
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    Chapter 7 News Diversity and Recommendation Systems: Setting the Interdisciplinary Scene
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    Chapter 8 Ontology-Based Modeling of Privacy Vulnerabilities for Data Sharing
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    Chapter 9 On the Design of a Privacy-Centered Data Lifecycle for Smart Living Spaces
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    Chapter 10 Language-Based Mechanisms for Privacy-by-Design
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    Chapter 11 Aid and AI: The Challenge of Reconciling Humanitarian Principles and Data Protection
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    Chapter 12 Get to Know Your Geek: Towards a Sociological Understanding of Incentives Developing Privacy-Friendly Free and Open Source Software
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    Chapter 13 Recommended for You: “You Don’t Need No Thought Control”. An Analysis of News Personalisation in Light of Article 22 GDPR
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    Chapter 14 Data Privatizer for Biometric Applications and Online Identity Management
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    Chapter 15 What Does Your Gaze Reveal About You? On the Privacy Implications of Eye Tracking
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    Chapter 16 Privacy Implications of Voice and Speech Analysis – Information Disclosure by Inference
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    Chapter 17 Border Control and Use of Biometrics: Reasons Why the Right to Privacy Can Not Be Absolute
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    Chapter 18 Making GDPR Usable: A Model to Support Usability Evaluations of Privacy
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    Chapter 19 Decision Support for Mobile App Selection via Automated Privacy Assessment
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    Chapter 20 Tool-Assisted Risk Analysis for Data Protection Impact Assessment
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    Chapter 21 How to Protect My Privacy? - Classifying End-User Information Privacy Protection Behaviors
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    Chapter 22 Annotation-Based Static Analysis for Personal Data Protection
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    Chapter 23 Order of Control and Perceived Control over Personal Information
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    Chapter 24 Aggregating Corporate Information Security Maturity Levels of Different Assets
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    Chapter 25 Differential Privacy in Online Dating Recommendation Systems
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    Chapter 26 Distributed Ledger for Provenance Tracking of Artificial Intelligence Assets
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    Chapter 27 A Survey-Based Exploration of Users’ Awareness and Their Willingness to Protect Their Data with Smart Objects
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    Chapter 28 Self-Sovereign Identity Systems
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    Chapter 29 Privacy in Location-Based Services and Their Criticality Based on Usage Context
Attention for Chapter 16: Privacy Implications of Voice and Speech Analysis – Information Disclosure by Inference
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Chapter title
Privacy Implications of Voice and Speech Analysis – Information Disclosure by Inference
Chapter number 16
Book title
Privacy and Identity Management. Data for Better Living: AI and Privacy
Published by
Springer, Cham, March 2020
DOI 10.1007/978-3-030-42504-3_16
Book ISBNs
978-3-03-042503-6, 978-3-03-042504-3
Authors

Jacob Leon Kröger, Otto Hans-Martin Lutz, Philip Raschke, Kröger, Jacob Leon, Lutz, Otto Hans-Martin, Raschke, Philip

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 18%
Student > Ph. D. Student 7 16%
Lecturer 3 7%
Student > Master 3 7%
Researcher 3 7%
Other 7 16%
Unknown 14 31%
Readers by discipline Count As %
Computer Science 11 24%
Social Sciences 4 9%
Engineering 4 9%
Business, Management and Accounting 3 7%
Nursing and Health Professions 2 4%
Other 4 9%
Unknown 17 38%