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goes wrong or is deliberately manipulated. Building lightweight, efficient models that can run in real time on constrained hardware. Implementing and evaluating the methods on embedded platforms and
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AI-based monitoring and control more resilient. Studying the security and integrity of deployed ML models, so that AI-based decisions stay trustworthy when something goes wrong or is deliberately
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