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Differential Privacy Blog Series

DP Blog Series
Credit: metamorworks/

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)


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

Privacy-Enhancing Cryptography to Complement Differential Privacy  | November 3, 2021 | by Luís Brandão and René Peralta

See Post #11

Utility Metrics for Differential Privacy: No One-Size-Fits-All | November 29, 2021 | by Claire McKay Bowen

See Post #12

How to deploy machine learning with differential privacy | December 21, 2021 | by Nicolas Papernot and Abhradeep Thakurta

See Post #13

Differential Privacy: Future Work & Open Challenges | January 24, 2022 | by Joe Near and David Darais 

See Post #14

Created July 15, 2020, Updated January 26, 2024