Click Here to Download Final Program and Abstracts
Thursday, May 1, 2008
9:30 AM Welcome and Introductions
10:00
Session I: Query Systems
Differential Privacy: What we Know and What we Want to Learn, Cynthia Dwork, Microsoft Research
Integrating Differential Privacy with Statistical Theory, Adam Smith, Pennsylvania State University
11:45 Lunch
1:00 PM
Session II: Weighted Data
Maintaining Analytic Quality while Protecting Confidentiality of Survey Data, Avinash Singh, Statistics Canada
Relevance or Irrelevance of Weights for Confidentiality and Statistical Analyses, Stephen Fienberg, Carnegie Mellon University
2:45 Break
3:15
Session III: Distributed Data
Secure Statistical Analysis of Distributed Databases (Emphasizing What We Don't Know), Alan Karr, NISS
Privacy Preserving Distributed Maximum Likelihood Estimation, Xiaodong Lin, University of Cincinnati
5:00 Adjourn for the Day
7:00 Workshop Dinner
Friday, May 2, 2008
8:30 AM
Session IV: Synthetic Data
Synthetic Data and Randomized Sanitizers, John Abowd, Cornell University
The Future for Synthetic Data, Jerome Reiter, Duke University
10:15 Break
10:45
Session V: Tabular Data
Lawrence Cox, NCHS/CDC
Tabular Data: From Margins to Margins and Conditionals, Aleksandra Slavkovic, Pennsylvania State University
12:30 PM Lunch
2:00 Panel Discussion: Federal Agency Needs
3:30 Workshop Adjourns
Event Type
- NISS Sponsored