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Differential Privacy Blog Series

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Credit: metamorworks/shutterstock.com

We have developed this blog series leveraging the differential privacy contributions in the de-identification tools section. This series is designed to help business process owners and privacy program personnel understand basic concepts about differential privacy and applicable use cases and to help privacy engineers and IT professionals implement the tools. Our longer term goal is to transform this series into more in-depth guidelines on differential privacy. We encourage readers to ask questions and share knowledge using the contribute section to better inform the development of these guidelines. We also can be contacted at collabspace [at] nist.gov.

BLOG POSTS

Differential Privacy for Privacy-preserving Data Analysis: An Introduction to our Blog Series | July 27, 2020 | by Joseph Near, David Darais, and Katie Boeckl

See Post #1

Threat Models for Differential Privacy | September 15, 2020 | by Joseph Near and David Darais

See Post #2

Counting Queries: Extracting Key Business Metrics from Datasets | October 14, 2020 | by Joseph Near and David Darais

See Post #3

Summation and Average Queries: Detecting Trends in Your Data | December 17, 2020 | by Joseph Near and David Darais

See Post #4

Workloads of Counting Queries: Enabling Rich Statistical Analyses with Differential Privacy | February 9, 2021 | by Ryan McKenna

See Post #5

Differential Privacy for Complex Data: Answering Queries Across Multiple Data Tables | March 25, 2021 | by Xi He 

See Post #6

Differentially Private Synthetic Data | May 3, 2021 | by Joseph Near and David Darais 

See Post #7

Differential Privacy Bugs and Why They're Hard to Find | May 25, 2021 | by Joseph Near and David Darais 

See Post #8

Testing for Differential Privacy Bugs | June 22, 2021 | by Dan Kifer

See Post #9

Automatic Proofs of Differential Privacy  | July 22, 2021 | by Chike Abuah

See Post #10

Stay tuned: more blog posts coming soon!

Created July 15, 2020, Updated July 22, 2021