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CS 482 Robust Machine Learning 3.0 Credits

This course introduces students to the understanding about the robustness and vulnerability of current state-of-the-art machine learning systems. Lectures will cover the theoretical foundation and algorithmic details of different types of adversarial attack and defense methods accordingly on multiple machine learning tasks including image classification, object detection, natural language processing, etc. Students will understand the intriguing property of deep learning systems and know the significance of robust and trustworthy machine learning.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: CS 380 [Min Grade: C] or CS 383 [Min Grade: C]