This $127,000 federal Project Grant award from the National Science Foundation (NSF) STEM Education program (CFDA 47.076) aims to develop comprehensive educational modules to prepare students and future engineers to address the security vulnerabilities of machine learning (ML) models and achieve trustworthy artificial intelligence (AI) systems. The project will create a practice-in-the-loop learning experience for students to understand the security of ML in computer vision, voice assistant systems, and other AI applications. Key outputs will include teaching slides, software labs, and training projects that will enable undergraduate student training and outreach activities. These educational resources will be disseminated online and through academic publications to enable diverse communities to access and employ them. This award reflects NSF's mission to support research, development, and implementation of innovative approaches to STEM education.
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