CMPS290P: Data Privacy via Machine Learning, and Back

*****COURSES ARE SUBJECT TO CHANGE*****

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

5 Credits

YearFallWinterSpringSummer
2017-18
2016-17
2013-14
2012-13
2011-12

While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.