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Differential Privacy Blog Series
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.
Note: Since the completion of this series, we have developed more in-depth guidelines on differential privacy, NIST Special Publication 800-226, Guidelines for Evaluating Differential Privacy Guarantees (Initial Public Draft)
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
Threat Models for Differential Privacy | September 15, 2020 | by Joseph Near and David Darais
Counting Queries: Extracting Key Business Metrics from Datasets | October 14, 2020 | by Joseph Near and David Darais
Summation and Average Queries: Detecting Trends in Your Data | December 17, 2020 | by Joseph Near and David Darais
Workloads of Counting Queries: Enabling Rich Statistical Analyses with Differential Privacy | February 9, 2021 | by Ryan McKenna
Differential Privacy for Complex Data: Answering Queries Across Multiple Data Tables | March 25, 2021 | by Xi He
Differentially Private Synthetic Data | May 3, 2021 | by Joseph Near and David Darais
Differential Privacy Bugs and Why They're Hard to Find | May 25, 2021 | by Joseph Near and David Darais
Testing for Differential Privacy Bugs | June 22, 2021 | by Dan Kifer
Automatic Proofs of Differential Privacy | July 22, 2021 | by Chike Abuah
Privacy-Enhancing Cryptography to Complement Differential Privacy | November 3, 2021 | by Luís Brandão and René Peralta
Utility Metrics for Differential Privacy: No One-Size-Fits-All | November 29, 2021 | by Claire McKay Bowen
How to deploy machine learning with differential privacy | December 21, 2021 | by Nicolas Papernot and Abhradeep Thakurta
Differential Privacy: Future Work & Open Challenges | January 24, 2022 | by Joe Near and David Darais