Differential Privacy at the US Census

Simson Garfinkel, Senior Computer Scientist for Confidentiality and Data Access at the US Census Bureau, discusses his work modernizing the Census Bureau disclosure avoidance system from private to public disclosure avoidance techniques using differential privacy. Some of the discussion revolves around the topics in the paper Randomness Concerns When Deploying Differential Privacy.

Guest

Simson Garfinkel: Simson L. Garfinkel serves on the Association for Computing Machinery's U.S. Technology and Policy Committee, and on its Ethics and Plagiarism Committee. He is also a science journalist who has published hundreds of articles in newspapers and magazines, and 17 books. His research interests broadly include data science ethics, digital forensics, personal information management, counter-intelligence and counter-terrorism.