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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

Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions NIPS 2024
Formal Verification of Unknown Stochastic Systems via Non-parametric Estimation AISTATS 2024
Non-Euclidean Monotone Operator Theory and Applications JMLR 2024
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate AAAI 2024
A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness NIPS 2024
Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration ICML 2023
On the Convergence of SARSA with Linear Function Approximation ICML 2023
Beyond Uniform Lipschitz Condition in Differentially Private Optimization ICML 2023
Unlocking Deterministic Robustness Certification on ImageNet NIPS 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization NIPS 2023
Lipschitz constant estimation for 1D convolutional neural networks L4DC 2023
Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models NIPS 2023
Stability Guarantees for Feature Attributions with Multiplicative Smoothing NIPS 2023
Blackbox optimization of unimodal functions UAI 2023
On the Adversarial Robustness of Mixture of Experts NIPS 2022
Certifiably Robust Variational Autoencoders AISTATS 2022
Optimistic Tree Searches for Combinatorial Black-Box Optimization NIPS 2022
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval ICML 2022
Don’t Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning IJCAI 2022
A Dynamical System Perspective for Lipschitz Neural Networks ICML 2022
A Quantitative Geometric Approach to Neural-Network Smoothness NIPS 2022
Can Push-forward Generative Models Fit Multimodal Distributions? NIPS 2022
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective NIPS 2022
Pay attention to your loss : understanding misconceptions about Lipschitz neural networks NIPS 2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning NIPS 2022