Glossary
Differential Privacy
Differential privacy adds carefully calculated noise to data - you get accurate trends without being able to identify individuals.
What is Differential Privacy?
Mathematical framework for sharing dataset information while limiting individual privacy disclosure.
Why Should You Care?
Enables privacy-preserving analytics and machine learning. Used by Google, Apple, and the US Census.
Is your business exposed?
Real-World Example
Apple uses differential privacy to collect usage statistics without linking data to individual users.
How to Protect Against Differential Privacy
- 1.
Apply differential privacy to analytics collection
- 2.
Train data teams on privacy-preserving techniques
Related Terms
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