SUNY Poly Assistant Professor Dr. Mahmoud Badr and peers have published new research in Applied Sciences titled “XAI-Based Accurate Anomaly Detector That Is Robust Against Black-Box Evasion Attacks for the Smart Grid.” This significant research introduces an advanced anomaly detection system specifically designed to protect smart grid networks from sophisticated cyber threats, which is a notable advancement in the use of XAI in cybersecurity for critical infrastructure.
XAI-based anomaly detector for the smart grid to protect against sophisticated cyber threats
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