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Differential Privacy for Dynamic Data

Overview of attention for book
Cover of 'Differential Privacy for Dynamic Data'

Table of Contents

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    Book Overview
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    Chapter 1 Defining Privacy-Preserving Data Analysis
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    Chapter 2 Basic Differentially Private Mechanisms
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    Chapter 3 A Two-Stage Architecture for Differentially Private Filtering
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    Chapter 4 Differentially Private Filtering for Stationary Stochastic Collective Signals
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    Chapter 5 Differentially Private Kalman Filtering
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    Chapter 6 Differentially Private Nonlinear Observers
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    Chapter 7 Conclusion
Attention for Chapter 6: Differentially Private Nonlinear Observers
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Chapter title
Differentially Private Nonlinear Observers
Chapter number 6
Book title
Differential Privacy for Dynamic Data
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-41039-1_6
Book ISBNs
978-3-03-041038-4, 978-3-03-041039-1
Authors

Jerome Le Ny

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 100%
Readers by discipline Count As %
Unknown 1 100%

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