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.