Is it possible to collect data from a large group of people but protect each individual's privacy? In this entry of my series on privacy-enhancing technologies, we'll discuss differential privacy and how it can do just that.

What is Differential Privacy?

Differential privacy is a mathematically rigorous framework for adding a controlled amount of noise to a dataset so that no individual can be reidentified. Learn how this technology is being implemented to protect you.

Privacy Guides (www.privacyguides.org)