Tabular Data Protection.- Enabling Statistical Analysis of Suppressed Tabular Data.- Assessing the Information Loss of Controlled Adjustment Methods in Two-Way Tables.- Further Developments with Perturbation Techniques to Protect Tabular Data.- Comparison of Different Sensitivity Rules for Tabular Data and Presenting a New Rule - The Interval Rule.- Pre-tabular Perturbation with Controlled Tabular Adjustment: Some Considerations.- Measuring Disclosure Risk with Entropy in Population Based Frequency Tables.- A CTA Model Based on the Huber Function.- Microdata Masking Density Approximant Based on Noise Multiplied Data.- Reverse Mapping to Preserve the Marginal Distributions of Attributes in Masked Microdata .- JPEG-Based Microdata Protection.- Protection Using Privacy Models.- Improving the Utility of Differential Privacy via Univariate Microaggregation.- Differentially Private Exponential Random Graphs.- km-Anonymity for Continuous Data Using Dynamic Hierarchies.- Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases.- Synthetic Data.- Disclosure Risk Evaluation for Fully Synthetic Categorical Data.- v-Dispersed Synthetic Data Based on a Mixture Model with Constraints.- Nonparametric Generation of Synthetic Data for Small Geographic Areas.- Using Partially Synthetic Data to Replace Suppression in the Business Dynamics Statistics: Early Results.- Synthetic Longitudinal Business Databases for International Comparisons .- Record Linkage.- A Comparison of Blocking Methods for Record Linkage.- Probabilistic Record Linkage for Disclosure Risk Assessment.- Hierarchical Linkage Clustering with Distributions of Distances for Large-Scale Record Linkage.- Remote Access.- Comparison of Two Remote Access Systems Recently Developed and Implemented in Australia.- Privacy-Preserving Protocols.- Towards Secure and Practical Location Privacy through Private Equality Testing.- Case Studies.- 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.- Balancing Confidentiality and Usability: Protecting Sensitive Data in the Case of Inward Foreign AffiliaTes Statistics (FATS).- Applicability of Confidentiality Methods to Personal and Business Data.