This course aims to help practitioners improve the usability of Differential Privacy (DP) by enabling them to quantify and visualize privacy versus utility trade-offs. The course teaches a framework that allows users to understand the benefits of DP without needing to delve into complex mathematical concepts like epsilons and deltas. The teaching method includes a quick primer on DP, an explanation of the framework's development, and a real-time demonstration using a dataset. The course is intended for individuals interested in enhancing the usability of DP in practice.
Overview
Syllabus
PEPR '20 - Improving Usability of Differential Privacy at Scale
Taught by
USENIX