ADVERSARIAL ROBUSTNESS IN MACHINE LEARNING

Catalog description

This course examines a broad range of adversarial attacks targeting machine learning and deep learning systems, with an emphasis on their implications for security and privacy, and explores the challenges and emerging strategies for designing robust and trustworthy models. (3 credits) fall