PSD 2008: Istanbul, Turkey

Tabular Data Protection

• Jordi Castro, Daniel Baena:
  Using a Mathematical Programming Modeling Language for Optimal CTA. 1-12
  
• Lawrence H. Cox:
  A Data Quality and Data Confidentiality Assessment of Complementary Cell Suppression. 13-23
  
• Martin C. Serpell, Alistair R. Clark, Jim E. Smith, Andrea T. Staggemeier:
  Pre-processing Optimisation Applied to the Classical Integer Programming Model for Statistical Disclosure Control. 24-36
  
• Peter-Paul de Wolf, Sarah Giessing:
  How to Make the T-ARGUS Modular Method Applicable to Linked Tables. 37-49
  
• Jonathan J. Forster, Roger C. Gill:
  Bayesian Assessment of Rounding-Based Disclosure Control. 50-63
  
• Byran Smucker, Aleksandra B. Slavkovic:
  Cell Bounds in Two-Way Contingency Tables Based on Conditional Frequencies. 64-76
  
• Natalie Shlomo, Caroline Young:
  Invariant Post-tabular Protection of Census Frequency Counts. 77-89
  

Microdata Protection: Methods and Case Studies

• Kimberly Lochner, Stephanie Bartee, Gloria Wheatcroft, Christine Cox:
  A Practical Approach to Balancing Data Confidentiality and Research Needs: The NHIS Linked Mortality Files. 90-99
  
• David Rebollo-Monedero, Jordi Forné, Josep Domingo-Ferrer:
  From t-Closeness to PRAM and Noise Addition Via Information Theory. 100-112
  
• Matthias Templ, Bernhard Meindl:
  Robustification of Microdata Masking Methods and the Comparison with Existing Methods. 113-126
  
• Mario Trottini, Krishnamurty Muralidhar, Rathindra Sarathy:
  A Preliminary Investigation of the Impact of Gaussian Versus t-Copula for Data Perturbation. 127-138
  
• Maurice Brandt, Rainer Lenz, Martin Rosemann:
  Anonymisation of Panel Enterprise Microdata - Survey of a German Project. 139-151
  

Microdata Protection: Disclosure Risk Assessment

• Jordi Nin, Javier Herranz, Vicenç Torra:
  Towards a More Realistic Disclosure Risk Assessment. 152-165
  
• Chris Skinner:
  Assessing Disclosure Risk for Record Linkage. 166-176
  
• Matthias Templ, Bernhard Meindl:
  Robust Statistics Meets SDC: New Disclosure Risk Measures for Continuous Microdata Masking. 177-189
  
• Joan Guisado-Gámez, Arnau Prat-Pérez, Jordi Nin, Victor Muntés-Mulero, Josep-Lluis Larriba-Pey:
  Parallelizing Record Linkage for Disclosure Risk Assessment. 190-202
  
• Daniela Ichim:
  Extensions of the Re-identification Risk Measures Based on Log-Linear Models. 203-212
  
• Loredana Di Consiglio, Silvia Polettini:
  Use of Auxiliary Information in Risk Estimation. 213-226
  
• Jörg Drechsler, Jerome P. Reiter:
  Accounting for Intruder Uncertainty Due to Sampling When Estimating Identification Disclosure Risks in Partially Synthetic Data. 227-238
  
• John M. Abowd, Lars Vilhuber:
  How Protective Are Synthetic Data?. 239-246
  

On-Line Databases and Remote Access

• Francesco M. Malvestuto:
  Auditing Categorical SUM, MAX and MIN Queries. 247-256
  
• Gerardo Canfora, Bice Cavallo:
  Reasoning under Uncertainty in On-Line Auditing. 257-269
  
• Christine M. O'Keefe, Norm M. Good:
  A Remote Analysis Server - What Does Regression Output Look Like?. 270-283
  

Privacy-Preserving Data Mining and Private Information Retrieval

• Emmanouil Magkos, Manolis Maragoudakis, Vassilios Chrissikopoulos, Stefanos Gritzalis:
  Accuracy in Privacy-Preserving Data Mining Using the Paradigm of Cryptographic Elections. 284-297
  
• Murat Kantarcioglu, Wei Jiang, Bradley Malin:
  A Privacy-Preserving Framework for Integrating Person-Specific Databases. 298-314
  
• Josep Domingo-Ferrer, Maria Bras-Amorós:
  Peer-to-Peer Private Information Retrieval. 315-323
  

Legal Issues

• Jean-Marc Museux, Martine Peeters, Maria João Santos:
  Legal, Political and Methodological Issues in Confidentiality in the European Statistical System. 324-334
  

Last update Tue May 21 17:53:03 2013 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page