Abstract: In this paper, we introduce a novel framework for simultaneously learning and verifying certificates for uncertain nonlinear control affine systems, utilizing robust control Lyapunov barrier ...

Abstract: Recent studies have revealed that Deep Neural Networks (DNNs) are highly vulnerable to adversarial examples, which are generated by introducing imperceptible perturbations to clean images, ...

LONDON, UNITED KINGDOM, January 22, 2026 /EINPresswire.com/ — New capabilities extend Salt’s discovery engine into the Agentic AI Action Layer and modern ...