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Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization

29 September 2023

Papers citing "Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization"

50 / 61 papers shown

Title
Low-Rank Adversarial PGD Attack Dayana Savostianova Emanuele Zangrando Francesco Tudisco AAML 75 1 0 16 Oct 2024
A Complete Set of Quadratic Constraints for Repeated ReLU and Generalizations Sahel Vahedi Noori Bin Hu Geir Dullerud Peter M. Seiler 110 0 0 09 Jul 2024
Compositional Curvature Bounds for Deep Neural Networks Taha Entesari Sina Sharifi Mahyar Fazlyab AAML 88 1 0 07 Jun 2024
Provable Bounds on the Hessian of Neural Networks: Derivative-Preserving Reachability Analysis Sina Sharifi Mahyar Fazlyab 106 0 0 06 Jun 2024
Lipschitz constant estimation for general neural network architectures using control tools Patricia Pauli Dennis Gramlich Frank Allgöwer 101 4 0 02 May 2024
Gradient-Regularized Out-of-Distribution Detection Sina Sharifi Taha Entesari Bardia Safaei Vishal M. Patel Mahyar Fazlyab OODD 117 7 0 18 Apr 2024
Post-train Black-box Defense via Bayesian Boundary Correction He Wang Yunfeng Diao AAML 101 1 0 29 Jun 2023
TAPS: Connecting Certified and Adversarial Training Yuhao Mao Mark Niklas Muller Marc Fischer Martin Vechev AAML 119 11 0 08 May 2023
A Unified Algebraic Perspective on Lipschitz Neural Networks Alexandre Araujo Aaron J. Havens Blaise Delattre A. Allauzen Bin Hu AAML 100 56 0 06 Mar 2023
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness Yuancheng Xu Yanchao Sun Micah Goldblum Tom Goldstein Furong Huang AAML 96 39 0 06 Feb 2023
Direct Parameterization of Lipschitz-Bounded Deep Networks Ruigang Wang I. Manchester 153 47 0 27 Jan 2023
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation Zhouxing Shi Yihan Wang Huan Zhang Zico Kolter Cho-Jui Hsieh 156 45 0 13 Oct 2022
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks Bernd Prach Christoph H. Lampert 116 38 0 05 Aug 2022
Can we achieve robustness from data alone? Nikolaos Tsilivis Jingtong Su Julia Kempe OOD DD 118 18 0 24 Jul 2022
Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift Christina Baek Yiding Jiang Aditi Raghunathan Zico Kolter 112 88 0 27 Jun 2022
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks Anton Xue Lars Lindemann Alexander Robey Hamed Hassani George J. Pappas Rajeev Alur 153 13 0 02 Apr 2022
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds Yujia Huang Huan Zhang Yuanyuan Shi J Zico Kolter Anima Anandkumar 117 80 0 02 Nov 2021
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100 Sahil Singla Surbhi Singla Soheil Feizi AAML 101 58 0 05 Aug 2021
Probabilistic Margins for Instance Reweighting in Adversarial Training Qizhou Wang Feng Liu Bo Han Tongliang Liu Chen Gong Gang Niu Mingyuan Zhou Masashi Sugiyama AAML 95 66 0 15 Jun 2021
Skew Orthogonal Convolutions Sahil Singla Soheil Feizi 88 69 0 24 May 2021
Orthogonalizing Convolutional Layers with the Cayley Transform Asher Trockman J. Zico Kolter 100 116 0 14 Apr 2021
Recent Advances in Large Margin Learning Yiwen Guo Changshui Zhang AAML AI4CE 128 13 0 25 Mar 2021
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Robustness Verification Shiqi Wang Huan Zhang Kaidi Xu Xue Lin Suman Jana Cho-Jui Hsieh Zico Kolter 132 207 0 11 Mar 2021
Globally-Robust Neural Networks Klas Leino Zifan Wang Matt Fredrikson AAML OOD 165 131 0 16 Feb 2021
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons Bohang Zhang Tianle Cai Zhou Lu Di He Liwei Wang OOD 97 51 0 10 Feb 2021
Certifying Incremental Quadratic Constraints for Neural Networks via Convex Optimization Navid Hashemi Justin Ruths Mahyar Fazlyab 126 22 0 10 Dec 2020
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming Sumanth Dathathri Krishnamurthy Dvijotham Alexey Kurakin Aditi Raghunathan J. Uesato ... Shreya Shankar Jacob Steinhardt Ian Goodfellow Percy Liang Pushmeet Kohli AAML 120 96 0 22 Oct 2020
Geometry-aware Instance-reweighted Adversarial Training Jingfeng Zhang Jianing Zhu Gang Niu Bo Han Masashi Sugiyama Mohan Kankanhalli AAML 128 280 0 05 Oct 2020
Certifying Confidence via Randomized Smoothing Aounon Kumar Alexander Levine Soheil Feizi Tom Goldstein UQCV 111 40 0 17 Sep 2020
Analytical bounds on the local Lipschitz constants of affine-ReLU functions Trevor Avant K. Morgansen 75 5 0 14 Aug 2020
Training robust neural networks using Lipschitz bounds Patricia Pauli Anne Koch J. Berberich Paul Kohler Frank Allgöwer 98 173 0 06 May 2020
Exactly Computing the Local Lipschitz Constant of ReLU Networks Matt Jordan A. Dimakis 109 115 0 02 Mar 2020
Robust Learning with Jacobian Regularization Judy Hoffman Daniel A. Roberts Sho Yaida OOD AAML 86 172 0 07 Aug 2019
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack Francesco Croce Matthias Hein AAML 214 501 0 03 Jul 2019
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks Mahyar Fazlyab Alexander Robey Hamed Hassani M. Morari George J. Pappas 219 471 0 12 Jun 2019
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers Hadi Salman Greg Yang Jungshian Li Pengchuan Zhang Huan Zhang Ilya P. Razenshteyn Sébastien Bubeck AAML 197 555 0 09 Jun 2019
Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming Mahyar Fazlyab M. Morari George J. Pappas AAML 101 236 0 04 Mar 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 418 2,081 0 08 Feb 2019
Theoretically Principled Trade-off between Robustness and Accuracy Hongyang R. Zhang Yaodong Yu Jiantao Jiao Eric Xing L. Ghaoui Michael I. Jordan 350 2,571 0 24 Jan 2019
MMA Training: Direct Input Space Margin Maximization through Adversarial Training G. Ding Yash Sharma Kry Yik-Chau Lui Ruitong Huang AAML 135 274 0 06 Dec 2018
Sorting out Lipschitz function approximation Cem Anil James Lucas Roger C. Grosse 129 329 0 13 Nov 2018
Semidefinite relaxations for certifying robustness to adversarial examples Aditi Raghunathan Jacob Steinhardt Percy Liang AAML 130 438 0 02 Nov 2018
Efficient Neural Network Robustness Certification with General Activation Functions Huan Zhang Tsui-Wei Weng Pin-Yu Chen Cho-Jui Hsieh Luca Daniel AAML 149 768 0 02 Nov 2018
On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models Sven Gowal Krishnamurthy Dvijotham Robert Stanforth Rudy Bunel Chongli Qin J. Uesato Relja Arandjelović Timothy A. Mann Pushmeet Kohli AAML 135 559 0 30 Oct 2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 206 534 0 28 May 2018
Towards Fast Computation of Certified Robustness for ReLU Networks Tsui-Wei Weng Huan Zhang Hongge Chen Zhao Song Cho-Jui Hsieh Duane S. Boning Inderjit S. Dhillon Luca Daniel AAML 138 700 0 25 Apr 2018
Regularisation of Neural Networks by Enforcing Lipschitz Continuity Henry Gouk E. Frank Bernhard Pfahringer M. Cree 212 495 0 12 Apr 2018
Large Margin Deep Networks for Classification Gamaleldin F. Elsayed Dilip Krishnan H. Mobahi Kevin Regan Samy Bengio MQ 111 286 0 15 Mar 2018
Deep Defense: Training DNNs with Improved Adversarial Robustness Ziang Yan Yiwen Guo Changshui Zhang AAML 108 110 0 23 Feb 2018
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks Yusuke Tsuzuku Issei Sato Masashi Sugiyama AAML 188 313 0 12 Feb 2018