Training robust neural networks using Lipschitz bounds

6 May 2020

Papers citing "Training robust neural networks using Lipschitz bounds"

26 / 26 papers shown

Title
Priority-Driven Safe Model Predictive Control Approach to Autonomous Driving Applications Francesco Prignoli Ying Shuai Quan Mohammad Jeddi Jonas Sjöberg Paolo Falcone 35 0 0 09 May 2025
Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Vlad Vasilescu Ana Neacsu Daniela Faur ViT 24 0 0 24 Apr 2025
Improved Scalable Lipschitz Bounds for Deep Neural Networks U. Syed Bin Hu BDL 56 0 0 18 Mar 2025
Consistency of Neural Causal Partial Identification Jiyuan Tan Jose Blanchet Vasilis Syrgkanis CML 32 0 0 24 May 2024
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks Nicholas H. Barbara Ruigang Wang I. Manchester 35 4 0 19 May 2024
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 16 11 0 29 Sep 2023
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz D. Bhutto Bo Zhu J. Liu Neha Koonjoo H. Li Bruce Rosen M. Rosen UQCV OOD 15 2 0 12 May 2023
Learning Over Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems (Extended Version) Nicholas H. Barbara Ruigang Wang I. Manchester 9 3 0 12 Apr 2023
Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations D. Martinelli C. Galimberti I. Manchester Luca Furieri Giancarlo Ferrari-Trecate 17 11 0 06 Apr 2023
Multi-Task Reinforcement Learning in Continuous Control with Successor Feature-Based Concurrent Composition Y. Liu Aamir Ahmad 16 4 0 24 Mar 2023
Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian Patricia Pauli Ruigang Wang I. Manchester Frank Allgöwer 32 8 0 20 Mar 2023
Online Control Barrier Functions for Decentralized Multi-Agent Navigation Zhan Gao Guangtao Yang Amanda Prorok 39 15 0 08 Mar 2023
A survey and taxonomy of loss functions in machine learning Lorenzo Ciampiconi A. Elwood Marco Leonardi A. Mohamed A. Rozza MU FaML 9 25 0 13 Jan 2023
Lipschitz constant estimation for 1D convolutional neural networks Patricia Pauli Dennis Gramlich Frank Allgöwer 15 13 0 28 Nov 2022
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks Xiaowu Sun Yasser Shoukry 43 11 0 11 Oct 2022
A comment on Guo et al. [arXiv:2206.11228] Ben Lonnqvist Harshitha Machiraju Michael H. Herzog AAML 22 0 0 02 Aug 2022
Analysis and Design of Quadratic Neural Networks for Regression, Classification, and Lyapunov Control of Dynamical Systems L. Rodrigues S. Givigi 20 2 0 26 Jul 2022
Approximation of Lipschitz Functions using Deep Spline Neural Networks Sebastian Neumayer Alexis Goujon Pakshal Bohra M. Unser 21 15 0 13 Apr 2022
A Quantitative Geometric Approach to Neural-Network Smoothness Z. Wang Gautam Prakriya S. Jha 35 13 0 02 Mar 2022
A Domain-Theoretic Framework for Robustness Analysis of Neural Networks Can Zhou R. A. Shaikh Yiran Li Amin Farjudian OOD 27 4 0 01 Mar 2022
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning Zhecheng Yuan Guozheng Ma Yao Mu Bo Xia Bo Yuan Xueqian Wang Ping Luo Huazhe Xu 25 28 0 21 Feb 2022
Parameterizing Activation Functions for Adversarial Robustness Sihui Dai Saeed Mahloujifar Prateek Mittal AAML 42 32 0 11 Oct 2021
Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers Patricia Pauli Dennis Gramlich J. Berberich Frank Allgöwer 20 26 0 31 Mar 2021
Provably Correct Training of Neural Network Controllers Using Reachability Analysis Xiaowu Sun Yasser Shoukry 13 7 0 22 Feb 2021
Dissipative Deep Neural Dynamical Systems Ján Drgoňa Soumya Vasisht Aaron Tuor D. Vrabie 19 6 0 26 Nov 2020
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers James Ferlez Mahmoud M. Elnaggar Yasser Shoukry C. Fleming AAML 49 33 0 16 Jun 2020