Training robust neural networks using Lipschitz bounds

6 May 2020

Papers citing "Training robust neural networks using Lipschitz bounds"

40 / 40 papers shown

Title
RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo Jenny Schmalfuss Victor Oei Lukas Mehl Madlen Bartsch Shashank Agnihotri Margret Keuper Andrés Bruhn 36 0 0 14 May 2025
Priority-Driven Safe Model Predictive Control Approach to Autonomous Driving Applications Francesco Prignoli Ying Shuai Quan Mohammad Jeddi Jonas Sjöberg Paolo Falcone 54 0 0 09 May 2025
Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Vlad Vasilescu Ana Neacsu Daniela Faur ViT 31 0 0 24 Apr 2025
Improved Scalable Lipschitz Bounds for Deep Neural Networks U. Syed Bin Hu BDL 75 0 0 18 Mar 2025
Consistency of Neural Causal Partial Identification Jiyuan Tan Jose Blanchet Vasilis Syrgkanis CML 37 0 0 24 May 2024
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks Nicholas H. Barbara Ruigang Wang I. Manchester 50 4 0 19 May 2024
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 21 11 0 29 Sep 2023
Task-aware Distributed Source Coding under Dynamic Bandwidth Po-han Li S. Ankireddy Ruihan Zhao Hossein Nourkhiz Mahjoub Ehsan Moradi-Pari Ufuk Topcu Sandeep Chinchali Hyeji Kim 47 9 0 24 May 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 Matthew S. Rosen UQCV OOD 29 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 29 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 32 12 0 06 Apr 2023
Learning Stable and Robust Linear Parameter-Varying State-Space Models C. Verhoek Ruigang Wang R. Tóth 28 4 0 04 Apr 2023
Multi-Task Reinforcement Learning in Continuous Control with Successor Feature-Based Concurrent Composition Y. Liu Aamir Ahmad 34 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 42 8 0 20 Mar 2023
Online Control Barrier Functions for Decentralized Multi-Agent Navigation Zhan Gao Guangtao Yang Amanda Prorok 57 15 0 08 Mar 2023
A Unified Algebraic Perspective on Lipschitz Neural Networks Alexandre Araujo Aaron J. Havens Blaise Delattre A. Allauzen Bin Hu AAML 41 54 0 06 Mar 2023
Convolutional Neural Networks as 2-D systems Dennis Gramlich Patricia Pauli C. Scherer Frank Allgöwer C. Ebenbauer 3DV 36 8 0 06 Mar 2023
A survey and taxonomy of loss functions in machine learning Lorenzo Ciampiconi A. Elwood Marco Leonardi A. Mohamed A. Rozza MU FaML 24 27 0 13 Jan 2023
Lipschitz constant estimation for 1D convolutional neural networks Patricia Pauli Dennis Gramlich Frank Allgöwer 31 13 0 28 Nov 2022
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions Stanislas Ducotterd Alexis Goujon Pakshal Bohra Dimitris Perdios Sebastian Neumayer M. Unser 40 12 0 28 Oct 2022
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks Xiaowu Sun Yasser Shoukry 56 11 0 11 Oct 2022
A comment on Guo et al. [arXiv:2206.11228] Ben Lonnqvist Harshitha Machiraju Michael H. Herzog AAML 27 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 38 2 0 26 Jul 2022
On the Number of Regions of Piecewise Linear Neural Networks Alexis Goujon Arian Etemadi M. Unser 54 16 0 17 Jun 2022
Approximation of Lipschitz Functions using Deep Spline Neural Networks Sebastian Neumayer Alexis Goujon Pakshal Bohra M. Unser 50 16 0 13 Apr 2022
Synthesis of Stabilizing Recurrent Equilibrium Network Controllers Neelay Junnarkar He Yin Fangda Gu Murat Arcak Peter M. Seiler 35 13 0 31 Mar 2022
A Quantitative Geometric Approach to Neural-Network Smoothness Zehao Wang Gautam Prakriya S. Jha 60 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 49 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 35 29 0 21 Feb 2022
Neural network training under semidefinite constraints Patricia Pauli Niklas Funcke Dennis Gramlich Mohamed Amine Msalmi Frank Allgöwer GAN 28 13 0 03 Jan 2022
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints R. Arghal Eric Lei Shirin Saeedi Bidokhti 24 19 0 14 Dec 2021
Parameterizing Activation Functions for Adversarial Robustness Sihui Dai Saeed Mahloujifar Prateek Mittal AAML 47 32 0 11 Oct 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 42 66 0 26 Jul 2021
Neural Network Robustness as a Verification Property: A Principled Case Study Marco Casadio Ekaterina Komendantskaya M. Daggitt Wen Kokke Guy Katz Guy Amir Idan Refaeli OOD AAML 27 39 0 03 Apr 2021
Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers Patricia Pauli Dennis Gramlich J. Berberich Frank Allgöwer 27 26 0 31 Mar 2021
Provably Correct Training of Neural Network Controllers Using Reachability Analysis Xiaowu Sun Yasser Shoukry 28 7 0 22 Feb 2021
Globally-Robust Neural Networks Klas Leino Zifan Wang Matt Fredrikson AAML OOD 85 126 0 16 Feb 2021
Dissipative Deep Neural Dynamical Systems Ján Drgoňa Soumya Vasisht Aaron Tuor D. Vrabie 21 7 0 26 Nov 2020
Convergence of Deep Fictitious Play for Stochastic Differential Games Jiequn Han Ruimeng Hu Jihao Long 34 19 0 12 Aug 2020
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers James Ferlez Mahmoud M. Elnaggar Yasser Shoukry C. Fleming AAML 62 33 0 16 Jun 2020