CS 4755
Adversarial Machine Learning and Secure AI
Explores the intersection of machine learning and security, focusing on adversarial techniques and defenses. Learn about adversarial attacks on machine learning models, the theoretical foundations of adversarial machine learning and secure AI, and practical strategies for defending against these attacks. Through a combination of lectures, hands-on projects, and case studies, gain a comprehensive understanding of the security vulnerabilities in machine learning models and AI systems and how to mitigate them.
Prerequisites & course information
Prerequisite : CS 3735
Sources
- Course catalogue ↗2026-2027