November 20, 2003
Bureau of Labor Statistics
2 Massachusetts Avenue, NE
Washington, DC 20212

Description. This is one in a continuing series of NISS Affiliates Technology Days whose purpose is to provide:

• Early, in-depth access to completed and ongoing NISS research, in this case on data confi-dentiality (DC), especially to Federal agency and corporate affiliates.
  
  
• Opportunity for all NISS affiliates to inform the future course of the research, and to partner in future research, through proposals, affiliate-funded projects or other forms of collabora-tion. In particular, faculty and graduate students from university affiliates will be able join teams to pursue the research issues and funding.

The topic is Data Confidentiality, which NISS has been addressing for several years under the auspices of the Digital Government (DG) projects. Detailed information is available on the NISS Web site, at www.niss.org/dgii.

All NISS affiliates are eligible to use their Affiliates Reimbursement Accounts to meet the costs of attendance.

Program

9:30 AM       Welcome and Introductions

9:45               Introduction and Overview
                     Alan Karr, NISS

10:00             The NISS Data Swapping Toolkit
                     Ashish Sanil, NISS

10:45             Break

11:00             Tabular Data: Releases of Conditionals and Marginals
                     Aleksandra Slavkovic, Carnegie Mellon University

11:45             Cyclic Perturbation: Protecting Confidentiality in Tabular Data
                     Steve Roehrig, Carnegie Mellon University

12:30 P          Lunch

1:30               Disclosure Risk and Data Utility for Remote Access Servers
                     Jerome Reiter, Duke University

2:15               Secure Data Integration
                     Alan Karr

2:45               Future Plans
                     Alan Karr

3:00              Adjournment