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

Reported by arXiv cs.CR (Ziyan An, John Stankovic, Meiyi Ma)

Summary by Cyber Security News1 Oct 2026, 06:00 CET

About this summary. This is a short excerpt from the description that arXiv cs.CR published with its article. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2609.38381

arXiv:2609.38381v1 Announce Type: new Abstract: AI-enabled Cyber-Physical Systems (CPS) are highly vulnerable to adversarial and anomalous inputs, where small perturbations can induce cascading errors and unsafe control actions. Existing approaches, such as rule-based filtering, training-time regularization, or diffusion-based reconstruction, either operate outside the model or lack mechanisms to incorporate formal security specifications into the prediction process.

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