Semester:
Spring
Offered:
2019
James Honaker and Salil Vadhan
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.
Spring 2019
- Syllabus
- Schedule, Lecture Notes, and Assignments
- Piazza (for announcements, communication with course staff, and Q&A)
- Canvas (for submitting assignments, and viewing solutions and section notes)
- Guidelines for Reading and Commenting
- Final Project Guidelines
See also: Computer Science