CSE 5505
Adversarial AI
This course will introduce students to concepts, theoretical foundations, and applications of adversarial reasoning in Artificial Intelligence. Topics will include the use of machine learning in adversarial settings, such as security, common attacks on machine learning models and algorithms, foundations of game theoretic modeling and analysis in security, with a special focus on algorithmic approaches, and foundations of adversarial social choice, with a focus on vulnerability analysis of elections.
Prerequisites & course information
Credit 3 units. Eng: BMEII, CSETH, TOP, TOPEQ, TOPIII Typical periods offered: Spring
Sources
- Course catalogue โ2026โ2027