CMPSC 291K Special Topics on Adversarial Machine Learning

Deep neural networks have demonstrated impressive performance, yet their vulnerability to adversarial attacks has made adversarial machine learning an important topic. In this course, students will explore core principles of adversarial learning and learn how to adapt these techniques to diverse adversarial contexts. The curriculum combines lectures focused on algorithm foundations with paper presentations (by students) highlighting current state-of-the-art advances in modern AI models (e.g., large language models). By engaging with both foundational algorithms and cutting-edge research, students will gain the knowledge and skills to develop more robust, trustworthy, and generalizable AI systems.