Podknife - Differential Privacy at the US Census by Data Skeptic

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Differential Privacy at the US Census

Podcast |: Data Skeptic
Publisher |: Kyle Polich
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Data Science,; Interview,; Natural Sciences,; Science & Medicine,; Technology
Categories Via RSS |: Mathematics,; Science,; Technology
Publication Date |: Nov 06, 2020
Episode Duration |: 00:29:43

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.

WORKS MENTIONED:

“Calibrating Noise to Sensitivity in Private Data Analysis” by Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam Smith
"Issues Encountered Deploying Differential Privacy" by Simson L Garfinkel, John M Abowd, and Sarah Powazek
"Randomness Concerns When Deploying Differential Privacy" by Simson L. Garfinkel and Philip Leclerc

Check out: https://simson.net/page/Differential_privacy

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