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| CS 7268 - Verifiable Machine Learning |
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Introduces verifiable machine learning, focusing on the limitations of current learning-based methods regarding safety and robustness. Explores adversarial robustness, uncertainty quantification, safety verification, reachability analysis, and safe/robust reinforcement learning. Examines neural network relaxations and their applications in robotics, control, image classification, medical diagnosis, and language modeling.
4.000 Credit hours 4.000 Lecture hours Levels: Graduate Schedule Types: Lecture Computer Science Department Course Attributes: GSCS Computer & Info Science, Crosslisted Course Restrictions: Must be enrolled in one of the following Levels: Graduate Must be enrolled in one of the following Colleges: College of Engineering Khoury Coll of Comp Sciences Must be enrolled in one of the following Classifications: Graduate |
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