Privacy in Statistical Databases : UNESCO Chair in Data Privacy, International Conference, PSD 2014, Ibiza, Spain, September 17-19, 2014. Proceedings

Chapter 1 Enabling Statistical Analysis of Suppressed Tabular Data

Chapter 2 Assessing the Information Loss of Controlled Adjustment Methods in Two-Way Tables

Chapter 3 Further Developments with Perturbation Techniques to Protect Tabular Data

Chapter 4 Comparison of Different Sensitivity Rules for Tabular Data and Presenting a New Rule – The Interval Rule

Chapter 5 Pre-tabular Perturbation with Controlled Tabular Adjustment: Some Considerations

Chapter 6 Measuring Disclosure Risk with Entropy in Population Based Frequency Tables

Chapter 7 A CTA Model Based on the Huber Function

Chapter 8 Density Approximant Based on Noise Multiplied Data

Chapter 9 Reverse Mapping to Preserve the Marginal Distributions of Attributes in Masked Microdata

Chapter 10 JPEG-Based Microdata Protection

Chapter 11 Improving the Utility of Differential Privacy via Univariate Microaggregation

Chapter 12 Differentially Private Exponential Random Graphs

Chapter 13 k m -Anonymity for Continuous Data Using Dynamic Hierarchies

Chapter 14 Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases

Chapter 15 Disclosure Risk Evaluation for Fully Synthetic Categorical Data

Chapter 16 v -Dispersed Synthetic Data Based on a Mixture Model with Constraints

Chapter 17 Nonparametric Generation of Synthetic Data for Small Geographic Areas

Chapter 18 Using Partially Synthetic Data to Replace Suppression in the Business Dynamics Statistics: Early Results

Chapter 19 Synthetic Longitudinal Business Databases for International Comparisons

Chapter 20 A Comparison of Blocking Methods for Record Linkage

Chapter 21 Probabilistic Record Linkage for Disclosure Risk Assessment

Chapter 22 Hierarchical Linkage Clustering with Distributions of Distances for Large-Scale Record Linkage

Chapter 23 Comparison of Two Remote Access Systems Recently Developed and Implemented in Australia

Chapter 24 Towards Secure and Practical Location Privacy through Private Equality Testing

Chapter 25 Controlled Shuffling, Statistical Confidentiality and Microdata Utility: A Successful Experiment with a 10% Household Sample of the 2011 Population Census of Ireland for the IPUMS-International Database

Chapter 26 Balancing Confidentiality and Usability

Chapter 27 Applicability of Confidentiality Methods to Personal and Business Data

Chapter 28 Erratum: Hierarchical Linkage Clustering with Distributions of Distances for Large-Scale Record Linkage