CS 5434

Trustworthy AI

Course Description

Course information provided by the 2025-2026 Catalog.

This course is about safety, security, privacy, alignment, and adversarial robustness of modern AI and ML technologies. Topics include threats and risks specific to these technologies, understanding vulnerabilities and state-of-the-art defenses, and how to build and use trustworthy AI/ML systems.

Last 4 Terms Offered 2025FA, 2015FA, 2014FA, 2013FA

Learning Outcomes

• Understand what it means for an AI/ML system to be safe, secure, and privacy-preserving.
• Learn about threats and risks faced by AI/ML systems, and technologies that are available to defend against these threats.
• Acquire practical skills in building adversarially robust AI/ML systems

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