Bo-Han Lai

Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss

Lipschitz neural networks are well-known for providing certified robustness in deep learning. In this paper, we present a novel, efficient Block Reflector Orthogonal (BRO) layer that enhances the capability of orthogonal layers on constructing more expressive Lipschitz neural architectures. In addit…