Differential Privacy is a relatively new field and it has been used to analyze user data without having to violate an individuals privacy.

The talk will cover these key points:
– How and why it works
– How to apply Differential Privacy to algorithms
– How to apply DP in Deep Learning

The attendees will walk away with an introduction to a new topic, it’s applications and benefits and how to apply it in their own systems if they are working with data.