Privacy in Statistical Databases

Table of Contents

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   Book Overview
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   Chapter 1 Privacy Disclosure Analysis and Control for 2D Contingency Tables Containing Inaccurate Data
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   Chapter 2 A Tool for Analyzing and Fixing Infeasible RCTA Instances
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   Chapter 3 Branch-and-Cut versus Cut-and-Branch Algorithms for Cell Suppression
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   Chapter 4 Data Swapping for Protecting Census Tables
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   Chapter 5 Eliminating Small Cells from Census Counts Tables: Some Considerations on Transition Probabilities
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   Chapter 6 Three Ways to Deal with a Set of Linked SBS Tables Using τ - argus
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   Chapter 7 IPUMS-International Statistical Disclosure Controls: 159 Census Microdata Samples in Dissemination, 100+ in Preparation
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   Chapter 8 Uncertainty for Anonymity and 2-Dimensional Range Query Distortion
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    Chapter 9 PRAM Optimization Using an Evolutionary Algorithm
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    Chapter 10 Multiplicative Noise Protocols
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    Chapter 11 Measurement Error and Statistical Disclosure Control
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    Chapter 12 Semantic Microaggregation for the Anonymization of Query Logs
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    Chapter 13 Data Environment Analysis and the Key Variable Mapping System
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    Chapter 14 Using Support Vector Machines for Generating Synthetic Datasets
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    Chapter 15 Synthetic Data for Small Area Estimation
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    Chapter 16 Disclosure Risk of Synthetic Population Data with Application in the Case of EU-SILC
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    Chapter 17 Differential Privacy and the Risk-Utility Tradeoff for Multi-dimensional Contingency Tables
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    Chapter 18 Does Differential Privacy Protect Terry Gross’ Privacy?
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    Chapter 19 Some Additional Insights on Applying Differential Privacy for Numeric Data
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    Chapter 20 Remote Data Access and the Risk of Disclosure from Linear Regression: An Empirical Study
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    Chapter 21 The Microdata Analysis System at the U.S. Census Bureau
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    Chapter 22 Establishing an Infrastructure for Remote Access to Microdata at Eurostat
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    Chapter 23 Coprivacy: Towards a Theory of Sustainable Privacy
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    Chapter 24 Privacy-Preserving Record Linkage
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    Chapter 25 Strategies to Achieve SDC Harmonisation at European Level: Multiple Countries, Multiple Files, Multiple Surveys