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Abstract: This article presents a safety-certified optimal formation control scheme for nonlinear multiagents to realize desired formation configuration under safety constraints, guaranteeing a ...

Abstract: Adversarial attacks craft adversarial examples (AEs) to fool convolution neural networks. The mainstream gradient-based attacks, based on first-order optimization methods, encounter ...