Differential Privacy for Privacy-Preserving Data Analysis

New blog series from NIST seeks to fill gaps in its Privacy Framework

All articles in this series
Workloads of Counting Queries: Enabling Rich Statistical Analyses With Differential Privacy
Differential Privacy Bugs and Why They’re Hard to Find
Differential Privacy for Privacy-Preserving Data Analysis
Threat Models for Differential Privacy
Counting Queries: Extracting Key Business Metrics From Datasets
Summation and Average Queries: Detecting Trends in Your Data

Does your organization want to aggregate and analyze data to learn trends, but in a way that protects privacy? Or perhaps you are already using differential privacy tools, but want to expand (or share) your knowledge? In either case, NIST’s blog series on differential privacy is for you.

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