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lipschitz constant

48 papers

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Co-occurring keywords

adversarial robustness (1341) neural network (6616) lipshitz constant (18) semidefinite programming (147) lipchitz constant (12) convolutional neural network (4226) neural network optimization (1293) convex optimization (1321) certified robustness (116) adversarial example (564)

Papers

On Mixup Regularization JMLR 2022
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness AAAI 2021
Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification NIPS 2021
Robust Implicit Networks via Non-Euclidean Contractions NIPS 2021
Functions with average smoothness: structure, algorithms, and learning COLT 2021
A Law of Robustness for Two-Layers Neural Networks COLT 2021
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons ICML 2021
Certifying Incremental Quadratic Constraints for Neural Networks via Convex Optimization L4DC 2021
Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective ICML 2021
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation ICML 2021
Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization CVPR 2021
Semialgebraic Optimization for Lipschitz Constants of ReLU Networks NIPS 2020
Better depth-width trade-offs for neural networks through the lens of dynamical systems ICML 2020
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks ICML 2020
Exactly Computing the Local Lipschitz Constant of ReLU Networks NIPS 2020
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications AAAI 2019
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks NIPS 2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation NIPS 2018
Global optimization of Lipschitz functions ICML 2017
ConvNets with Smooth Adaptive Activation Functions for Regression AISTATS 2017
Spectrally-normalized margin bounds for neural networks NIPS 2017
Batch Bayesian Optimization via Local Penalization AISTATS 2016
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection ICML 2015