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.
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.
We know how to secure data in storage using E2EE, but is it possible to ensure data privacy even while processing it server-side?