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project aims to address this gap through the development of a rigorous empirical framework for evaluating the security robustness, failure modes, and operational risks of AI decision engines in cyber
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Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
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communications. The project includes training in AI, cyber security, FL, privacy-preserving computation, edge intelligence, and UAV simulation. Objectives Define a UAV-PFL threat model covering poisoning, backdoor
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of real strategic importance. You’ll also deliver undergraduate and postgraduate teaching in cyber security, developing valuable academic experience alongside your research. Objectives This project
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applications including energetic materials, platform systems, cyber and chemistry, fulfilling our responsibility to further technological advances in UK sovereign capabilities and support to UK defence. The