LogiC-Diff: Embedding Security Properties Into AI-Enabled Cyber-Physical Systems

LOGIC-DIFF is a bi-stage diffusion framework that embeds Signal Temporal Logic (STL) specifications directly into AI forecasting to secure Cyber-Physical Systems against adversarial attacks. It works by using logic constraints to guide input repair and output refinement, ensuring the model generates predictions that satisfy physical safety rules during inference.

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