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Model-Free Generative Stealthy Attacks on Safety-Critical Vehicle Cyber-Physical Systems
Existing stealthy attacks presuppose white- or grey-box access to the target system, unrealistic in practice. This paper develops a model-free stealthy attack framework that learns an attack policy directly from nominal measurement data, without knowledge of the system dynamics, estimator, or detect
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