A Unified Algebraic Perspective on Lipschitz Neural Networks

6 March 2023

Papers citing "A Unified Algebraic Perspective on Lipschitz Neural Networks"

43 / 43 papers shown

Title
Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical Systems H. Li Xiangru Zhong Bin Hu Huan Zhang 41 0 0 23 Apr 2025
Bridging the Theoretical Gap in Randomized Smoothing Blaise Delattre Paul Caillon Quentin Barthélemy Erwan Fagnou Alexandre Allauzen AAML 58 0 0 03 Apr 2025
LipShiFT: A Certifiably Robust Shift-based Vision Transformer Rohan Menon Nicola Franco Stephan Günnemann 53 0 0 18 Mar 2025
Improved Scalable Lipschitz Bounds for Deep Neural Networks U. Syed Bin Hu BDL 56 0 0 18 Mar 2025
APECS: Adaptive Personalized Control System Architecture Marius F. R. Juston Alex Gisi William R. Norris Dustin Nottage A. Soylemezoglu 43 0 0 10 Mar 2025
L-Lipschitz Gershgorin ResNet Network Marius F. R. Juston William R. Norris Dustin Nottage A. Soylemezoglu 51 0 0 28 Feb 2025
1-Lipschitz Network Initialization for Certifiably Robust Classification Applications: A Decay Problem Marius F. R. Juston William R. Norris Dustin Nottage A. Soylemezoglu 34 0 0 28 Feb 2025
Inference Privacy: Properties and Mechanisms Fengwei Tian Ravi Tandon 78 0 0 27 Nov 2024
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing Weizhi Gao Zhichao Hou Han Xu Xiaorui Liu AAML 34 0 0 01 Nov 2024
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers Patricia Pauli Ruigang Wang I. Manchester Frank Allgöwer 35 2 0 29 Oct 2024
Deep Learning Algorithms for Mean Field Optimal Stopping in Finite Space and Discrete Time Lorenzo Magnino Yuchen Zhu Mathieu Laurière AI4CE 26 1 0 11 Oct 2024
A Unified Framework for Neural Computation and Learning Over Time S. Melacci Alessandro Betti Michele Casoni Tommaso Guidi Matteo Tiezzi Marco Gori AI4TS 28 0 0 18 Sep 2024
A Complete Set of Quadratic Constraints for Repeated ReLU and Generalizations Sahel Vahedi Noori Bin Hu Geir Dullerud Peter M. Seiler 36 0 0 09 Jul 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers Jonas Ngnawé Sabyasachi Sahoo Y. Pequignot Frédéric Precioso Christian Gagné AAML 42 0 0 26 Jun 2024
1-Lipschitz Neural Distance Fields Guillaume Coiffier Louis Bethune 43 3 0 14 Jun 2024
Compositional Curvature Bounds for Deep Neural Networks Taha Entesari Sina Sharifi Mahyar Fazlyab AAML 34 0 0 07 Jun 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective Nils Philipp Walter Linara Adilova Jilles Vreeken Michael Kamp AAML 48 2 0 27 May 2024
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks Nicholas H. Barbara Ruigang Wang I. Manchester 37 4 0 19 May 2024
Lipschitz constant estimation for general neural network architectures using control tools Patricia Pauli Dennis Gramlich Frank Allgöwer 33 4 0 02 May 2024
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks Ruigang Wang Krishnamurthy Dvijotham I. Manchester 36 5 0 02 Feb 2024
Spectral Norm of Convolutional Layers with Circular and Zero Paddings Blaise Delattre Quentin Barthélemy Alexandre Allauzen 34 2 0 31 Jan 2024
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations Patricia Pauli Aaron J. Havens Alexandre Araujo Siddharth Garg Farshad Khorrami Frank Allgöwer Bin Hu 38 4 0 25 Jan 2024
1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness Bernd Prach Fabio Brau Giorgio Buttazzo Christoph H. Lampert 27 7 0 28 Nov 2023
LipSim: A Provably Robust Perceptual Similarity Metric Sara Ghazanfari Alexandre Araujo Prashanth Krishnamurthy Farshad Khorrami Siddharth Garg 43 5 0 27 Oct 2023
$Is Certifying $\ell_p$ Robustness Still Worthwhile?$ Is Certifying $\ell_p$ Robustness Still Worthwhile? Ravi Mangal Klas Leino Zifan Wang Kai Hu Weicheng Yu Corina S. Pasareanu Anupam Datta Matt Fredrikson AAML OOD 30 1 0 13 Oct 2023
Certification of Deep Learning Models for Medical Image Segmentation Othmane Laousy Alexandre Araujo G. Chassagnon Nikos Paragios M. Revel Maria Vakalopoulou MedIm 20 2 0 05 Oct 2023
A Recipe for Improved Certifiable Robustness Kai Hu Klas Leino Zifan Wang Matt Fredrikson AAML 36 7 0 04 Oct 2023
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
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing Blaise Delattre Alexandre Araujo Quentin Barthélemy A. Allauzen AAML 36 5 0 28 Sep 2023
Certified Robust Models with Slack Control and Large Lipschitz Constants M. Losch David Stutz Bernt Schiele Mario Fritz 14 4 0 12 Sep 2023
R-LPIPS: An Adversarially Robust Perceptual Similarity Metric Sara Ghazanfari S. Garg Prashanth Krishnamurthy Farshad Khorrami Alexandre Araujo 21 19 0 27 Jul 2023
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior Kai Cui Sascha H. Hauck Christian Fabian Heinz Koeppl 37 6 0 12 Jul 2023
Towards Better Certified Segmentation via Diffusion Models Othmane Laousy Alexandre Araujo G. Chassagnon M. Revel S. Garg Farshad Khorrami Maria Vakalopoulou DiffM 31 2 0 16 Jun 2023
On the Robustness of Removal-Based Feature Attributions Christy Lin Ian Covert Su-In Lee 25 12 0 12 Jun 2023
Efficient Symbolic Reasoning for Neural-Network Verification Zi Wang S. Jha Krishnamurthy Dvijotham Dvijotham AAML NAI 30 1 0 23 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
Major-Minor Mean Field Multi-Agent Reinforcement Learning Kai Cui Christian Fabian Anam Tahir Heinz Koeppl 29 2 0 19 Mar 2023
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks Grigory Khromov Sidak Pal Singh 29 7 0 21 Feb 2023
Unlocking Deterministic Robustness Certification on ImageNet Kaiqin Hu Andy Zou Zifan Wang Klas Leino Matt Fredrikson OOD 26 12 0 29 Jan 2023
Direct Parameterization of Lipschitz-Bounded Deep Networks Ruigang Wang I. Manchester 22 41 0 27 Jan 2023
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective M. Serrurier Franck Mamalet Thomas Fel Louis Bethune Thibaut Boissin AAML FAtt 32 4 0 14 Jun 2022
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100 Sahil Singla Surbhi Singla S. Feizi AAML 38 54 0 05 Aug 2021
Globally-Robust Neural Networks Klas Leino Zifan Wang Matt Fredrikson AAML OOD 80 125 0 16 Feb 2021