Digital Government:

Project Update - May 2004

• Alan F. Karr (2004). Data confidentiality, data quality and data integration for federal databases. Proc. dg.o 2004, National Conference on Digital Government Research 91-92.
  
  
• Alan F. Karr, Xiaodong Lin, Jerome P. Reiter and Ashish P. Sanil (2004). Regression on distributed databases via secure multi-party computation. Proc. dg.o 2004, National Conference on Digital Government Research 405-406.
  
  

• George Duncan and Stephen Roehrig (2004). Cyclic Perturbation: Protecting Confidentiality While Preserving Data Utility in Tabular Data. Submitted to the Journal of Official Statistics.
  
  
• George Duncan, Ramayya Krishnan, Rema Padman and Stephen Roehrig (2004). Exact and Heuristic Methods for Cell Suppression in Multi-Dimensional Linked Tables. Submitted to the European Journal of Operational Research.
  
  
• Stephen E. Fienberg and Aleksandra B. Slavkovic (2004). Making the Release of Confidential Data from Multi-Way Tables Count. To appear in Chance.
  
  
• Alan F. Karr, Xiaodong Lin, Jerome P. Reiter and Ashish P. Sanil (2004). Analysis of integrated data without data integration. To appear in Chance.
  
  
• Ashish P. Sanil, Alan F. Karr, Xiaodong Lin and Jerome P. Reiter (2004). Privacy preserving regression modelling via distributed computation. To appear in Proc. SIGKKD 2004.
  
  

• "The Confidentiality-Data Access Tradeoff: Making Protected Data Statistically Useful," at Symposium on New Developments in Disclosure Control, Southampton Statistical Sciences Research Institute, Southampton UK, May 7, 2004.
  
  
• Discussion of "Bayesian Model Averaging for Disclosure Risk Assessment" by Jon Forster, at Symposium on New Developments in Disclosure Control, Southampton Statistical Sciences Research Institute, Southampton UK, May 7 2004.

• "Data confidentiality, data quality and data integration for federal databases." Project highlight presented at dg.o 2004, National Conference on Digital Government Research, Seattle, May 24-26, 2004.
  
  
• "Regression on distributed databases via secure multi-party computation." Poster presented at Proc. dg.o 2004, National Conference on Digital Government Research, Seattle, May 24-26, 2004.