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studies have highlighted vulnerabilities in learning‑enabled CPS, demonstrating that small, carefully crafted perturbations can cause unsafe or malicious behaviours. However, much of the literature focuses
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, privacy-enhancing technologies, and trustworthy AI: stating requirements precisely, designing methods that meet them, and building prototypes fast enough to use. Applicants should hold, or expect to obtain
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, their empirical security assessment remains underdeveloped, representing a growing and critical gap. Recent studies have highlighted vulnerabilities in learning‑enabled CPS, demonstrating that small, carefully
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