University of Wisconsin-Madison 3 credits COMP SCI
Explore security and privacy aspects of trustworthy artificial intelligence. Three core subjects will be considered: differential privacy and algorithmic fairness; adversarial machine learning; and end-to-end trustworthy systems. A selection of more advanced topics may be covered such as additional notions of privacy, language-based security, and robust optimization. Knowledge of probability/statistics (such as MATH 431), cryptography (such as MATH 435), security (such as COMP SCI 642), and modern machine learning (such as M E/COMP SCI/E C E 539 or 540) is required.
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