The risks to privacy when making human subjects data available for research and how to protect against these risks using the formal framework of differential privacy. Methods for attacking statistical data releases, the mathematics of and software implementations of differential privacy, deployed solutions in industry and government. Assignments will include implementation and experimentation on data science tasks.
- Schedule, Lecture Notes, and Assignments
- Syllabus
- Google Calendar link
- Discussions at ed
- Reading at Perusall (reading guidelines)
- Video recordings at Panopto (access via Canvas)
- Annotated Course Bibliography
- Guidelines for Reading and Commenting