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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"

20 / 270 papers shown

Title
Scalable Plug-and-Play ADMM with Convergence Guarantees Yu Sun Zihui Wu Xiaojian Xu B. Wohlberg Ulugbek S. Kamilov BDL 98 76 0 05 Jun 2020
Second-Order Provable Defenses against Adversarial Attacks Sahil Singla Soheil Feizi AAML 74 60 0 01 Jun 2020
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data Alexander Robey Hamed Hassani George J. Pappas OOD 103 43 0 20 May 2020
Joint Multi-Dimension Pruning via Numerical Gradient Update Zechun Liu Xinming Zhang Zhiqiang Shen Zhe Li Yichen Wei Kwang-Ting Cheng Jian Sun 76 19 0 18 May 2020
Training robust neural networks using Lipschitz bounds Patricia Pauli Anne Koch J. Berberich Paul Kohler Frank Allgöwer 90 163 0 06 May 2020
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization P. DÓro Wojciech Ja'skowski OffRL 92 27 0 29 Apr 2020
Local Lipschitz Bounds of Deep Neural Networks Calypso Herrera Florian Krach Josef Teichmann 24 3 0 27 Apr 2020
Reach-SDP: Reachability Analysis of Closed-Loop Systems with Neural Network Controllers via Semidefinite Programming Haimin Hu Mahyar Fazlyab M. Morari George J. Pappas 85 76 0 16 Apr 2020
A Convex Parameterization of Robust Recurrent Neural Networks Max Revay Ruigang Wang I. Manchester 70 4 0 11 Apr 2020
Learning Control Barrier Functions from Expert Demonstrations Alexander Robey Haimin Hu Lars Lindemann Hanwen Zhang Dimos V. Dimarogonas Stephen Tu Nikolai Matni 124 208 0 07 Apr 2020
Exactly Computing the Local Lipschitz Constant of ReLU Networks Matt Jordan A. Dimakis 89 112 0 02 Mar 2020
Semialgebraic Optimization for Lipschitz Constants of ReLU Networks Tong Chen J. Lasserre Victor Magron Edouard Pauwels 43 3 0 10 Feb 2020
An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants Siqi Zhou Angela P. Schoellig 44 12 0 24 Dec 2019
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks Yizhen Dong Peixin Zhang Jingyi Wang Shuang Liu Jun Sun Jianye Hao Xinyu Wang Li Wang J. Dong Ting Dai OOD AAML 73 32 0 14 Nov 2019
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization Mina Basirat P. Roth 66 8 0 27 Oct 2019
Robust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics Shuo Li Osbert Bastani 77 86 0 24 Oct 2019
Notes on Margin Training and Margin p-Values for Deep Neural Network Classifiers G. Kesidis David J. Miller Zhen Xiang 23 0 0 15 Oct 2019
Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation Yuh-Shyang Wang Tsui-Wei Weng Luca Daniel AAML 57 16 0 18 Aug 2019
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks David J. Miller Zhen Xiang G. Kesidis AAML 74 35 0 12 Apr 2019
Stability-certified reinforcement learning: A control-theoretic perspective Ming Jin Javad Lavaei 57 87 0 26 Oct 2018