Skip to Main Content
 
  
The National Academies of Sciences, Engineering and Medicine
Committee on National Statistics
Division of Behavioral and Social Sciences and Education
  Challenges and New Approaches for Protecting Privacy in Federal Statistical Programs

Videos and Presentations from the Workshop
 
 
Agenda
         
             
 

Welcome
Jerry Reiter (committee chair), Duke University
Brian Harris-Kojetin, CNSTAT Director
 
 
             
 

Reconstruction of Person Level Data from Data Presented in Multiple Tables
Philip Leclerc, U.S. Bureau of the Census 
Presentation
 

De-Anonymizing the Australian Medicare Data Release
Ben Rubinstein, University of Melbourne
Presentation
 

Discussion: Risks of Existing Statistical
Disclosure Limitation Methods

 
             
 

NIST's Role in Privacy Protection
Mary Theofanos, National Institute of Standards and Technology
Presentation
 

Overview of the Needs for Federal Statistics
Michael Hawes, U.S. Bureau of the Census
 

Darius Singpurwalla, National Center for Science and Engineering Statistics 
 
             
 

NCHS Disclosure Concerns In Our Modern World
Donna Miller, National Center for Health Statistics
Presentation
 

Discussion: Insights from Federal Agencies about Privacy Protection Needs
 

Tutorial on Differential Privacy
Kobbi Nissim, Georgetown University 
Alexandra Wood, Harvard University
Presentation
 
             
 

Discussion about Differential Privacy 
 

Ashwin Machanavajjhala, Duke University
Privately Releasing Statistics
Presentation
 

Ilya Mironov, Google
Deep Learning with Differential Privacy: Two Approaches
Presentation
 
             
 

Differential Privacy for Social Science Research
Salil Vadhan, Harvard University
Presentation
 

Panel Disscussion: Current Technical Capabilities in Formal Privacy
 

Nancy Potok, U.S. Office of Management and Budget
 
             
 



John Abowd, U.S. Bureau of the Census

 

Privacy Protection at Statistics of Income, IRS
Barry Johnson, Statistics of Income Division of the Internal Revenue Service 
Presentation
   

Panel Discussion: Policy Issues and Practical Experiences with Formal Privacy
 
             
 

Day 2 Welcome and Summary of Day 1
Jerry Reiter, Duke University



 

Implications of Formal Privacy for Data Users
Julia Lane, New York University
Presentation
 

2020 Census Data Products: The Data Users' Perspective
Joe Salvo, New York City Department of City Planning
Presentation
 
             
 



Data User Perspectives on Potential Changes to Data Products to Protect Privacy 
Mike Davern, NORC
Presentation

 



A Practical Method to Reduce Privacy Loss when Disclosing Statistics Based on Small Samples
John Friedman, Brown University, NBER
Presentation

 



Panel Discussion: Implications of Formal Privacy for Data Users


 
             
 

What Can Agencies Do Right Now to Improve Privacy Protections?
Tom Krenzke, Westat
Presentation
 

What Could be Done?
Lars Vilhuber, Cornell University
Presentation
 

Workshop Summary
Jerry Reiter, Duke University


 
             
 

Q&A Session: Looking Forward to the Near Future 



 

Data Privacy and the USDA Forest Service's Forest Inventory and Analysis Program Surveys
Brett Butler, USDA Forest Service
Presentation

 

Full-Rank Sufficient Statistics For Limiting Disclosure of Cross-Classifications
Yves Thibaudeau, U.S. Bureau of the Census
Presentation
 
             
 

Changing Farm Structure and its Potential Impact on Ag-Census Disclosure Analysis
Bayazid Sarkar, USDA NASS
Presentation
 

Achieving Differential Privacy Using a Two-Tailed Geometric "Bottom-Up" Mechanism
Stephen Clark, U.S. Bureau of the Census
Presentation 
 

Implications of Differential Privacy for America's Children
Bill O'Hare, O'Hare Data and Demographics
Presentation
 
             
 

Research on Using Synthetic Microdata to Protect Economic Data: Utility and Privacy Protection
Katherine (Jenny) Thompson, U.S. Bureau of the Census
Presentation 
 

Synthetic Data Quality Metrics: Relative vs. Absolute
Christine Task, Knexus Research 
Presentation 
 

Respondents' Understanding of Disclosure Avoidance
Aleia Yvonne Clark Fobia, U.S. Bureau of the Census
Presentation
 
             
 

Bayesian Pseudo Posterior Inference for Data Privacy Protection
Terrance Savitsky, Bureau of Labor Statistics
Presentation
 

CBAMS: Public Microdata with Randomized Response
Caleb Floyd, U.S. Bureau of the Census 
 

Open Discussion

 
             


Home BOHSI Home BOSE Home BECS Home BCYF Home TAC Home Home BOTA Home CPOP Home CNSTAT Home CLAJ Home BBCSS Home Home About BOSE BOSE Mission BOSE Members BOSE Staff Our Sponsors Visiting our Buildings About BBCSS BBCSS History BBCSS Members BBCSS Staff Our Sponsors About CPOP CPOP Mission CPOP Members CPOP Staff About CNSTAT CNSTAT Members CNSTAT Staff CNSTAT Mission Other Sites of Interest TEstTAc2 About CLAJ CLAJ Mission CLAJ Members CLAJ Staff About BECS BECS Mission/History BECS Brochure BECS Members BECS Staff About BOHSI BOHSI History BOHSI Members BOHSI Staff Our Sponsors About BCYF BCYF History BCYF Graphic Illustration BCYF Members BCYF Staff Forum Home About Us Mission and Goals History Members Sponsors About BOTA BOTA Mission BOTA Members Visiting Our Buildings