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on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and
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will operate at the intersection of computer vision, micro-electronics analysis, and hardware security, and will work under the supervision of researchers within the Department of Intelligent Systems
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controllers for complex systems that are safe and verifiable by design. Information Neural networks can provide the flexibility needed to control increasingly complex dynamical systems, but their opaque and
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. Job description Wireless communication can make control systems cheaper and easier to deploy, but bandwidth and energy limitations, as well as vulnerability to cyber-attacks, restrict its use in
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main responsibilities will be shared between two main research activities (approximately 70%-30%): Large-Scale Survey Development & Data Analysis for Ex-Post Assessment: Develop and deploy a structured