Adversarially Robust Stability Certificates can be Sample-EfficientDownload PDFOpen Website

Published: 2022, Last Modified: 12 May 2023L4DC 2022Readers: Everyone
Abstract: Motivated by bridging the simulation to reality gap in the context of safety-critical systems, we consider learning adversarially robust stability certificates for unknown nonlinear dynamical syste...
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