CSE290P: 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.

5 credits

Year Fall Winter Spring Summer

Formerly CMPS 290P

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