Finite-Sample Probabilistic Safety Certification for AI-Based Grid-Edge Coordination
A finite-sample probabilistic safety certification framework for black-box AI decision models in closed-loop grid operation and combines the nominal certificate with physically interpretable sample-space adversarial attacks, a concept widely used in AI to investigate the fragility of AI models.
Yi-Hong Zhou, Han-Bin Yang, T. Morstyn
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