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Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks

12 June 2019

George J. Pappas

Papers citing "Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks"

50 / 270 papers shown

Title
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training L. Park Jaeuk Kim Myung Gyo Oh Jaewoo Park T.-H. Kwon AAML 126 5 0 19 Feb 2024
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence Jiafei Lyu Le Wan Xiu Li Zongqing Lu CML OffRL 92 2 0 05 Feb 2024
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks Ruigang Wang Krishnamurthy Dvijotham I. Manchester 106 5 0 02 Feb 2024
Spectral Norm of Convolutional Layers with Circular and Zero Paddings Blaise Delattre Quentin Barthélemy Alexandre Allauzen 62 2 0 31 Jan 2024
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images Nicholas Konz Maciej A. Mazurowski 62 7 0 16 Jan 2024
Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering Tasks Zihao Wang Zhe Wu 126 3 0 15 Jan 2024
PAC-Bayes-Chernoff bounds for unbounded losses Ioar Casado Luis A. Ortega A. Masegosa Aritz Pérez Martínez 113 6 0 02 Jan 2024
How Smooth Is Attention? Valérie Castin Pierre Ablin Gabriel Peyré AAML 109 11 0 22 Dec 2023
Data-Driven Modeling and Verification of Perception-Based Autonomous Systems Thomas Waite Alexander Robey Hassani Hamed George J. Pappas Radoslav Ivanov 59 2 0 11 Dec 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Yatong Bai Brendon G. Anderson Somayeh Sojoudi AAML 84 2 0 26 Nov 2023
On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates Stefano Bruno Ying Zhang Dong-Young Lim Ömer Deniz Akyildiz Sotirios Sabanis DiffM 110 5 0 22 Nov 2023
Certification of Distributional Individual Fairness Matthew Wicker Vihari Piratla Adrian Weller 56 1 0 20 Nov 2023
Bridging Dimensions: Confident Reachability for High-Dimensional Controllers Yuang Geng Jake Brandon Baldauf Souradeep Dutta Chao Huang Ivan Ruchkin 122 5 0 08 Nov 2023
Upper and lower bounds for the Lipschitz constant of random neural networks Paul Geuchen Thomas Heindl Dominik Stöger Felix Voigtlaender AAML 105 0 0 02 Nov 2023
DP-SGD with weight clipping Antoine Barczewski Jan Ramon 94 1 0 27 Oct 2023
Local Lipschitz Constant Computation of ReLU-FNNs: Upper Bound Computation with Exactness Verification Y. Ebihara Xin Dai Victor Magron D. Peaucelle Sophie Tarbouriech 25 5 0 17 Oct 2023
Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory S. Mbacke Florence Clerc Pascal Germain DRL 104 13 0 07 Oct 2023
Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks Brendon G. Anderson Samuel Pfrommer Somayeh Sojoudi OOD 108 2 0 07 Oct 2023
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Alexander Robey Eric Wong Hamed Hassani George J. Pappas AAML 174 260 0 05 Oct 2023
Enhancing Accuracy in Deep Learning Using Random Matrix Theory Leonid Berlyand Etienne Sandier Yitzchak Shmalo Lei Zhang AAML 86 0 0 04 Oct 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 111 11 0 29 Sep 2023
A Theoretical and Empirical Study on the Convergence of Adam with an "Exact" Constant Step Size in Non-Convex Settings Alokendu Mazumder Rishabh Sabharwal Manan Tayal Bhartendu Kumar Punit Rathore 44 0 0 15 Sep 2023
Certified Robust Models with Slack Control and Large Lipschitz Constants M. Losch David Stutz Bernt Schiele Mario Fritz 46 4 0 12 Sep 2023
Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques Sophie A. Neubauer Radu Grosu 60 0 0 23 Aug 2023
Neural Schrödinger Bridge with Sinkhorn Losses: Application to Data-driven Minimum Effort Control of Colloidal Self-assembly Iman Nodozi Charlie Yan Mira M. Khare A. Halder A. Mesbah 79 5 0 26 Jul 2023
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks Shiwei Ding Lan Zhang Miao Pan Xiaoyong Yuan AAML 82 6 0 20 Jul 2023
Syntactic vs Semantic Linear Abstraction and Refinement of Neural Networks Calvin Chau Jan Křetínský S. Mohr NAI 79 1 0 20 Jul 2023
How Does Information Bottleneck Help Deep Learning? Kenji Kawaguchi Zhun Deng Xu Ji Jiaoyang Huang 93 62 0 30 May 2023
DP-SGD Without Clipping: The Lipschitz Neural Network Way Louis Bethune Thomas Massena Thibaut Boissin Yannick Prudent Corentin Friedrich Franck Mamalet A. Bellet M. Serrurier David Vigouroux 96 9 0 25 May 2023
Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration Blaise Delattre Quentin Barthélemy Alexandre Araujo A. Allauzen 48 13 0 25 May 2023
On progressive sharpening, flat minima and generalisation L. MacDonald Jack Valmadre Simon Lucey 80 4 0 24 May 2023
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint Wei Liu Jun Wang Yining Qi Rui Li Yang Qiu Yuankai Zhang Jie Han Yixiong Zou 97 14 0 23 May 2023
Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems Luzhe Huang Jianing Li Xiaofu Ding Yijie Zhang Hanlong Chen Aydogan Ozcan UQCV 57 2 0 22 May 2023
Towards Understanding the Generalization of Graph Neural Networks Huayi Tang Y. Liu GNN AI4CE 95 32 0 14 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 141 2 0 12 May 2023
The Ideal Continual Learner: An Agent That Never Forgets Liangzu Peng Paris V. Giampouras René Vidal CLL 183 30 0 29 Apr 2023
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 160 37 0 29 Apr 2023
The Power of Typed Affine Decision Structures: A Case Study Gerrit Nolte Maximilian Schlüter Alnis Murtovi Bernhard Steffen AAML 44 3 0 28 Apr 2023
A Data-Driven Hybrid Automaton Framework to Modeling Complex Dynamical Systems Yejiang Yang Zihao Mo Weiming Xiang 29 1 0 26 Apr 2023
LipsFormer: Introducing Lipschitz Continuity to Vision Transformers Xianbiao Qi Jianan Wang Yihao Chen Yukai Shi Lei Zhang 98 20 0 19 Apr 2023
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models Zaitang Li Pin-Yu Chen Tsung-Yi Ho AAML DiffM 50 4 0 19 Apr 2023
Contraction-Guided Adaptive Partitioning for Reachability Analysis of Neural Network Controlled Systems Akash Harapanahalli Saber Jafarpour Samuel Coogan 71 5 0 07 Apr 2023
Hybrid Zonotopes Exactly Represent ReLU Neural Networks Joshua Ortiz Alyssa Vellucci Justin P. Koeln Justin Ruths 62 11 0 05 Apr 2023
Learning Stable and Robust Linear Parameter-Varying State-Space Models C. Verhoek Ruigang Wang R. Tóth 56 4 0 04 Apr 2023
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection Nicola Franco Daniel Korth J. Lorenz Karsten Roscher Stephan Guennemann 60 5 0 27 Mar 2023
Efficient Symbolic Reasoning for Neural-Network Verification Zi Wang S. Jha Krishnamurthy Dvijotham Dvijotham AAML NAI 94 2 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 71 8 0 20 Mar 2023
Provably Convergent Plug-and-Play Quasi-Newton Methods Hongwei Tan Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb 84 15 0 09 Mar 2023
A Neurosymbolic Approach to the Verification of Temporal Logic Properties of Learning enabled Control Systems Navid Hashemi Bardh Hoxha Tomoya Yamaguchi Danil Prokhorov Geogios Fainekos Jyotirmoy Deshmukh 55 8 0 07 Mar 2023
A Unified Algebraic Perspective on Lipschitz Neural Networks Alexandre Araujo Aaron J. Havens Blaise Delattre A. Allauzen Bin Hu AAML 78 56 0 06 Mar 2023