Monday/Wednesday 1 - 2:25pm
213 Annenberg (may change due to enrollment)
Katrina Ligett, 316 Annenberg. Office hours Thursdays 10:30 - 11:30am.
Please sign up for the course page on Piazza and monitor it throughout the term. We will be using Piazza to post announcements, assignments and updates, and to conduct class discussions on project proposals and a broad range of privacy topics. Please post your questions there.
How should we define privacy? What are the tradeoffs between useful computation on large datasets and the privacy of those from whom the data is derived? This course will take a mathematically rigorous approach to addressing these and other questions at the frontier of research in data privacy. We will draw connections with a wide variety of topics, including economics, statistics, information theory, game theory, probability, learning theory, geometry, and approximation algorithms.
Ma 3, CS 24 and CS 38, or instructor's permission.
Your grade in the course will be based on a mix of work completed individually and work completed in cooperation with your reading groups. This is a preliminary breakdown that may change during the term, particularly as enrollment levels settle: