AIBearisharXiv – CS AI · 3h ago7/10
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Backdoor Attacks on Fault Detection and Localization in Cyber-Physical Systems
Researchers have identified critical vulnerabilities in machine learning-based fault detection systems used in cyber-physical infrastructure, demonstrating that backdoor attacks can compromise these safety-critical systems with poisoning rates as low as 10%. This threat directly impacts smart grids, industrial automation, and other essential infrastructure that increasingly rely on AI models for anomaly detection and system recovery.