Computer Science and Engineering

CSE 290P Data Privacy Via Machine Learning, and Back

Helps students achieve both expository knowledge and expertise in the field of data privacy. Focuses on fundamental techniques used in designing privacy-preserving, machine-learning systems in both academia and in the industry. Students are expected to read and understand recent research papers in the topic. (Formerly Computer Science 290P.)

Requirements

Prerequisite(s): CSE 201 and CSE 242 or equivalent. Enrollment is restricted to graduate students.

Credits

5

Instructor

Abhradeep Guha Thakurta

Repeatable for credit

Yes