This book constitutes the refereed proceedings of the International Workshop on Privacy in Statistical Databases, PSD 2004, held in June 2004 in Barcelona, Spain as the final conference of the European IST Project Computational Aspects of Statistical Confidentiality. The 29 revised full papers presented were carefully reviewed and selected from 44 submissions. The papers are organized in topical sections on foundations of tabular protection, methods for tabular protection, masking for microdata protection, risks in microdata protection, synthetic data, and software and case studies.
Foundations of Tabular Protection.- Survey on Methods for Tabular Data Protection in ARGUS.- Data Swapping: Variations on a Theme by Dalenius and Reiss.- Bounds for Cell Entries in Two-Way Tables Given Conditional Relative Frequencies.- Methods for Tabular Protection.- A New Tool for Applying Controlled Rounding to a Statistical Table in Microsoft Excel.- Getting the Best Results in Controlled Rounding with the Least Effort.- Computational Experiments with Minimum-Distance Controlled Perturbation Methods.- Balancing Quality and Confidentiality for Multivariate Tabular Data.- Reducing the Set of Tables ? -ARGUS Considers in a Hierarchical Setting.- Approaches to Identify the Amount of Publishable Information in Business Surveys through Waivers.- Maximum Utility-Minimum Information Loss Table Server Design for Statistical Disclosure Control of Tabular Data.- A Fast Network Flows Heuristic for Cell Suppression in Positive Tables.- Masking for Microdata Protection.- On the Security of Noise Addition for Privacy in Statistical Databases.- Microaggregation for Categorical Variables: A Median Based Approach.- Evaluating Fuzzy Clustering Algorithms for Microdata Protection.- To Blank or Not to Blank? A Comparison of the Effects of Disclosure Limitation Methods on Nonlinear Regression Estimates.- Outlier Protection in Continuous Microdata Masking.- Risk in Microdata Protection.- Re-identification Methods for Masked Microdata.- Masking and Re-identification Methods for Public-Use Microdata: Overview and Research Problems.- A Bayesian Hierarchical Model Approach to Risk Estimation in Statistical Disclosure Limitation.- Individual Risk Estimation in ?-Argus: A Review.- Analysis of Re-identification Risk Based on Log-Linear Models.- Synthetic Data.- New Approaches to Confidentiality Protection: Synthetic Data, Remote Access and Research Data Centers.- Multiply-Imputing Confidential Characteristics and File Links in Longitudinal Linked Data.- Fast Generation of Accurate Synthetic Microdata.- Software and Case Studies.- Trade-Off between Disclosure Risk and Information Loss Using Multivariate Microaggregation: A Case Study on Business Data.- The ARGUS Software in the CASC-Project.- Different Grades of Statistical Disclosure Control Correlated with German Statistics Law.- Developing Adoptable Disclosure Protection Techniques: Lessons Learned from a U.S. Experience.- Privacy Preserving and Data Mining in an On-Line Statistical Database of Additive Type.