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.