Overview
This course teaches learners about a privacy system that utilizes differential privacy to protect data while providing audience engagement insights for marketing analytics applications. The course covers differentially private algorithms, privacy safeguards, and budget management services. The teaching method includes detailing algorithms and privacy safeguards used in the system. The intended audience for this course includes data analysts, data scientists, and professionals interested in privacy-preserving data analytics.
Syllabus
Intro
Our Mission
Differential Privacy
Differentially Private
Models of Differential Privacy
Audience Engagement API
What is a differencing attack
Existing infrastructure
Privacy system
Sensitivity
Summary
Known vs Unknown Domain
Algorithms
Overall Privacy
Taught by
USENIX