lipchitz constant

Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models AAAI 2025 Functions with average smoothness: structure, algorithms, and learning JMLR 2024 Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions NeurIPS 2024 Beyond Uniform Lipschitz Condition in Differentially Private Optimization ICML 2023 Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective NeurIPS 2022 SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training NeurIPS 2022 Estimating Lipschitz constants of monotone deep equilibrium models ICLR 2021 The Lipschitz Constant of Self-Attention ICML 2021 Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons ICML 2021 What training reveals about neural network complexity NeurIPS 2021 Assessing Local Generalization Capability in Deep Models AISTATS 2020 Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder CVPR 2020 Generalization bounds for deep convolutional neural networks ICLR 2020 Parseval Networks: Improving Robustness to Adversarial Examples ICML 2017