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Training robust neural networks using Lipschitz bounds

IEEE Control Systems Letters (L-CSS), 2020

6 May 2020

Papers citing "Training robust neural networks using Lipschitz bounds"

50 / 90 papers shown

Title
Spectral Neural Graph Sparsification Angelica Liguori Ettore Ritacco Pietro Sabatino Annalisa Socievole 64 1 0 31 Oct 2025
Exact Causal Attention with 10% Fewer Operations Dmitry Rybin Yushun Zhang Ding Tian Zhihang Lin Zhi-Quan Luo CML 235 0 0 05 Oct 2025
Enhancing Certifiable Semantic Robustness via Robust Pruning of Deep Neural Networks Hanjiang Hu Bowei Li Ziwei Wang Tianhao Wei Casidhe Hutchison Eric Sample Changliu Liu AAML 106 0 0 30 Sep 2025
Robust Convolution Neural ODEs via Contractivity-promoting regularization M. Zakwan Liang Xu Giancarlo Ferrari-Trecate AAML 100 0 0 15 Aug 2025
Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training Yanyun Wang Li Liu AAML 125 0 0 04 Aug 2025
Systematic and Efficient Construction of Quadratic Unconstrained Binary Optimization Forms for High-order and Dense InteractionsJournal of the Physical Society of Japan (JPSJ), 2025 Hyakka Nakada Shu Tanaka 158 0 0 10 Jun 2025
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 202 3 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 191 1 0 09 May 2025
Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Vlad Vasilescu Ana Neacsu Daniela Faur ViT 160 0 0 24 Apr 2025
L2RU: a Structured State Space Model with prescribed L2-bound Leonardo Massai M. Zakwan Giancarlo Ferrari-Trecate 150 1 0 31 Mar 2025
Improved Scalable Lipschitz Bounds for Deep Neural Networks U. Syed Bin Hu BDL 297 1 0 18 Mar 2025
Achieving Domain-Independent Certified Robustness via Knowledge ContinuityNeural Information Processing Systems (NeurIPS), 2024 Alan Sun Chiyu Ma Kenneth Ge Soroush Vosoughi 259 2 0 03 Nov 2024
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers Patricia Pauli Ruigang Wang I. Manchester Frank Allgöwer 248 2 0 29 Oct 2024
Thinner Latent Spaces: Detecting Dimension and Imposing Invariance with Conformal Autoencoders George A. Kevrekidis Mauro Maggioni Mauro Maggioni Soledad Villar Yannis G. Kevrekidis DRL 220 1 0 28 Aug 2024
A mathematical certification for positivity conditions in Neural Networks with applications to partial monotonicity and Trustworthy AI Alejandro Polo-Molina David Alfaya José M. Portela 206 1 0 12 Jun 2024
Policy Verification in Stochastic Dynamical Systems Using Logarithmic Neural Certificates Thom S. Badings Wietze Koops Sebastian Junges Nils Jansen 332 0 0 02 Jun 2024
Convex neural network synthesis for robustness in the 1-norm Ross Drummond Chris Guiver Matthew C. Turner AAML 123 2 0 29 May 2024
Consistency of Neural Causal Partial Identification Jiyuan Tan Jose Blanchet Vasilis Syrgkanis CML 332 0 0 24 May 2024
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks Nicholas H. Barbara Ruigang Wang I. Manchester 407 7 0 19 May 2024
Model Reconstruction Using Counterfactual Explanations: Mitigating the Decision Boundary ShiftNeural Information Processing Systems (NeurIPS), 2024 Pasan Dissanayake Sanghamitra Dutta 208 1 0 08 May 2024
Lipschitz constant estimation for general neural network architectures using control tools Patricia Pauli Dennis Gramlich Frank Allgöwer 228 7 0 02 May 2024
A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models Maximilian Wendlinger Kilian Tscharke Pascal Debus AAML 168 14 0 24 Apr 2024
Learning a Formally Verified Control Barrier Function in Stochastic Environment Manan Tayal Hongchao Zhang Pushpak Jagtap Andrew Clark Shishir Kolathaya 168 29 0 28 Mar 2024
Robust optimization for adversarial learning with finite sample complexity guaranteesIEEE Conference on Decision and Control (CDC), 2024 André Bertolace Konstatinos Gatsis Kostas Margellos AAML 127 1 0 22 Mar 2024
State space representations of the Roesser type for convolutional layersIFAC-PapersOnLine (IFAC-PapersOnLine), 2024 Patricia Pauli Dennis Gramlich Frank Allgöwer 211 3 0 18 Mar 2024
Deep Backward and Galerkin Methods for the Finite State Master Equation Asaf Cohen Mathieu Lauriere Ethan C. Zell 202 4 0 08 Mar 2024
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted ActivationsInternational Conference on Learning Representations (ICLR), 2024 Patricia Pauli Aaron J. Havens Alexandre Araujo Siddharth Garg Farshad Khorrami Frank Allgöwer Bin Hu 284 4 0 25 Jan 2024
Training robust and generalizable quantum models Julian Berberich Daniel Fink Daniel Pranjić C. Tutschku Christian Holm OOD 312 20 0 20 Nov 2023
Fast Trainable Projection for Robust Fine-TuningNeural Information Processing Systems (NeurIPS), 2023 Junjiao Tian Yen-Cheng Liu James Seale Smith Z. Kira OOD 229 18 0 29 Oct 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz RegularizationNeural Information Processing Systems (NeurIPS), 2023 Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 596 19 0 29 Sep 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical SystemsAmerican Control Conference (ACC), 2023 Truong X. Nghiem Ján Drgoňa Colin N. Jones Zoltán Nagy Roland Schwan ... J. Paulson Andrea Carron Melanie Zeilinger Wenceslao Shaw-Cortez D. Vrabie PINN AI4CE 248 58 0 24 Jun 2023
RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified RobustnessJuliaCon Proceedings (JuliaCon), 2023 Nicholas H. Barbara Max Revay Ruigang Wang Jing Cheng I. Manchester OOD 230 5 0 22 Jun 2023
How Does Information Bottleneck Help Deep Learning?International Conference on Machine Learning (ICML), 2023 Kenji Kawaguchi Zhun Deng Xu Ji Jiaoyang Huang 198 98 0 30 May 2023
Task-aware Distributed Source Coding under Dynamic BandwidthNeural Information Processing Systems (NeurIPS), 2023 Po-han Li S. Ankireddy Ruihan Zhao Hossein Nourkhiz Mahjoub Ehsan Moradi-Pari Ufuk Topcu Sandeep Chinchali Hyeji Kim 187 12 0 24 May 2023
Ortho-ODE: Enhancing Robustness and of Neural ODEs against Adversarial Attacks V. Purohit AAML 174 1 0 16 May 2023
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local LipschitzIEEE journal of biomedical and health informatics (IEEE JBHI), 2023 D. Bhutto Bo Zhu J. Liu Neha Koonjoo H. Li Bruce Rosen Matthew S. Rosen UQCV OOD 303 2 0 12 May 2023
Learning Over Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems (Extended Version)IEEE Conference on Decision and Control (CDC), 2023 Nicholas H. Barbara Ruigang Wang I. Manchester 157 6 0 12 Apr 2023
Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential EquationsIEEE Conference on Decision and Control (CDC), 2023 D. Martinelli C. Galimberti I. Manchester Luca Furieri Giancarlo Ferrari-Trecate 240 17 0 06 Apr 2023
Learning Stable and Robust Linear Parameter-Varying State-Space ModelsIEEE Conference on Decision and Control (CDC), 2023 C. Verhoek Ruigang Wang R. Tóth 181 5 0 04 Apr 2023
Multi-Task Reinforcement Learning in Continuous Control with Successor Feature-Based Concurrent CompositionEuropean Control Conference (ECC), 2023 Y. Liu Aamir Ahmad 210 5 0 24 Mar 2023
Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability GramianIEEE Conference on Decision and Control (CDC), 2023 Patricia Pauli Ruigang Wang I. Manchester Frank Allgöwer 201 10 0 20 Mar 2023
Online Control Barrier Functions for Decentralized Multi-Agent NavigationInternational Symposium on Multi-Robot and Multi-Agent Systems (MRS), 2023 Zhan Gao Guangtao Yang Amanda Prorok 227 23 0 08 Mar 2023
A Unified Algebraic Perspective on Lipschitz Neural NetworksInternational Conference on Learning Representations (ICLR), 2023 Alexandre Araujo Aaron J. Havens Blaise Delattre A. Allauzen Bin Hu AAML 240 60 0 06 Mar 2023
Convolutional Neural Networks as 2-D systems Dennis Gramlich Patricia Pauli C. Scherer Frank Allgöwer C. Ebenbauer 3DV 221 8 0 06 Mar 2023
Some Fundamental Aspects about Lipschitz Continuity of Neural NetworksInternational Conference on Learning Representations (ICLR), 2023 Grigory Khromov Sidak Pal Singh 530 21 0 21 Feb 2023
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional DataInternational Conference on Machine Learning (ICML), 2023 Minshuo Chen Kaixuan Huang Tuo Zhao Mengdi Wang DiffM 128 140 0 14 Feb 2023
Direct Parameterization of Lipschitz-Bounded Deep NetworksInternational Conference on Machine Learning (ICML), 2023 Ruigang Wang I. Manchester 377 53 0 27 Jan 2023
A survey and taxonomy of loss functions in machine learning Lorenzo Ciampiconi A. Elwood Marco Leonardi A. Mohamed A. Rozza MU FaML 162 47 0 13 Jan 2023
Lipschitz constant estimation for 1D convolutional neural networksConference on Learning for Dynamics & Control (L4DC), 2022 Patricia Pauli Dennis Gramlich Frank Allgöwer 148 15 0 28 Nov 2022
Improving Lipschitz-Constrained Neural Networks by Learning Activation FunctionsJournal of machine learning research (JMLR), 2022 Stanislas Ducotterd Alexis Goujon Pakshal Bohra Dimitris Perdios Sebastian Neumayer M. Unser 198 19 0 28 Oct 2022