Explore privacy engineering from a data engineer's perspective in this 16-minute conference talk from USENIX Enigma 2019. Gain insights into Uber's collaborative approach between privacy and data teams to build privacy-protecting data retrieval systems. Learn about enforcing least privilege, data protection, and regulatory compliance through specific examples. Discover how Uber implements differential privacy, user roles, and query rewriting techniques. Understand the layered approach to privacy and the process of building trust between privacy and data teams. Benefit from practical strategies for integrating privacy principles into data infrastructure and engineering practices.
Overview
Syllabus
Intro
Who am I
Why should you listen
Data Environment
Data Infrastructure
Privacy Principles
Differential Privacy
User Roles
Example
Privacy using query rewriting
Layered approach to privacy
How the Privacy Engineering team convinced us
How the Privacy Engineering team trusted the data team
Summary
Taught by
USENIX Enigma Conference
Related Courses
-
NIST Privacy Framework
-
Differential Privacy at Scale - Uber and Berkeley Collaboration - USENIX Enigma - 2018
-
Learn how Microsoft safeguards customer data
-
The Importance of Engineering Privacy From the Start
-
Implementing Differential Privacy for the 2020 US Census
-
Building Privacy Aware Infrastructure
