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Privacy in Statistical Databases

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Cover of 'Privacy in Statistical Databases'

Table of Contents

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    Book Overview
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    Chapter 1 Symmetric vs Asymmetric Protection Levels in SDC Methods for Tabular Data
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    Chapter 2 Bounded Small Cell Adjustments for Flexible Frequency Table Generators
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    Chapter 3 Designing Confidentiality on the Fly Methodology – Three Aspects
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    Chapter 4 Protecting Census 2021 Origin-Destination Data Using a Combination of Cell-Key Perturbation and Suppression
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    Chapter 5 On the Privacy Guarantees of Synthetic Data: A Reassessment from the Maximum-Knowledge Attacker Perspective
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    Chapter 6 The Quasi-Multinomial Synthesizer for Categorical Data
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    Chapter 7 Synthetic Data via Quantile Regression for Heavy-Tailed and Heteroskedastic Data
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    Chapter 8 Some Clarifications Regarding Fully Synthetic Data
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    Chapter 9 Differential Correct Attribution Probability for Synthetic Data: An Exploration
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    Chapter 10 pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity
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    Chapter 11 The Application of Genetic Algorithms to Data Synthesis: A Comparison of Three Crossover Methods
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    Chapter 12 Multiparty Computation with Statistical Input Confidentiality via Randomized Response
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    Chapter 13 Grouping of Variables to Facilitate SDL Methods in Multivariate Data Sets
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    Chapter 14 Comparative Study of the Effectiveness of Perturbative Methods for Creating Official Microdata in Japan
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    Chapter 15 A General Framework and Metrics for Longitudinal Data Anonymization
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    Chapter 16 Reviewing the Methods of Estimating the Density Function Based on Masked Data
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    Chapter 17 Protecting Values Close to Zero Under the Multiplicative Noise Method
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    Chapter 18 Efficiency and Sample Size Determination of Protected Data
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    Chapter 19 Quantifying the Protection Level of a Noise Candidate for Noise Multiplication Masking Scheme
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    Chapter 20 Generalized Bayesian Record Linkage and Regression with Exact Error Propagation
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    Chapter 21 Probabilistic Blocking with an Application to the Syrian Conflict
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    Chapter 22 SwapMob: Swapping Trajectories for Mobility Anonymization
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    Chapter 23 Safely Plotting Continuous Variables on a Map
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Title
Privacy in Statistical Databases
Published by
Springer International Publishing, November 2018
DOI 10.1007/978-3-319-99771-1
ISBNs
978-3-31-999770-4, 978-3-31-999771-1
Editors

Domingo-Ferrer, Josep, Montes, Francisco

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 25%
Unknown 3 75%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 50%
Student > Ph. D. Student 1 25%
Researcher 1 25%
Readers by discipline Count As %
Engineering 3 75%
Mathematics 1 25%