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Parseval Networks: Improving Robustness to Adversarial Examples

28 April 2017

Papers citing "Parseval Networks: Improving Robustness to Adversarial Examples"

50 / 489 papers shown

Title
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 118 73 0 07 Aug 2020
Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations Ziquan Liu Yufei Cui Antoni B. Chan 122 13 0 07 Aug 2020
Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks Haoqiang Guo Lu Peng Jian Zhang Fang Qi Lide Duan AAML 47 6 0 03 Aug 2020
How benign is benign overfitting? Amartya Sanyal P. Dokania Varun Kanade Philip Torr NoLa AAML 89 58 0 08 Jul 2020
Fast Training of Deep Neural Networks Robust to Adversarial Perturbations Justin A. Goodwin Olivia M. Brown Victoria Helus OOD AAML 27 3 0 08 Jul 2020
Robust Learning with Frequency Domain Regularization Weiyu Guo Yidong Ouyang AAML 36 2 0 07 Jul 2020
On Connections between Regularizations for Improving DNN Robustness Yiwen Guo Long Chen Yurong Chen Changshui Zhang AAML 51 14 0 04 Jul 2020
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks Fabian Latorre Paul Rolland Nadav Hallak Volkan Cevher AAML 67 4 0 02 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey S. Silva Peyman Najafirad AAML OOD 106 135 0 01 Jul 2020
Deep Isometric Learning for Visual Recognition Haozhi Qi Chong You Xinyu Wang Yi-An Ma Jitendra Malik VLM 102 55 0 30 Jun 2020
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning Lionel Blondé Pablo Strasser Alexandros Kalousis 90 22 0 28 Jun 2020
A general framework for defining and optimizing robustness Alessandro Tibo M. Jaeger Kim G. Larsen 22 0 0 19 Jun 2020
Model-Aware Regularization For Learning Approaches To Inverse Problems Jaweria Amjad Zhaoyang Lyu M. Rodrigues MedIm 18 0 0 18 Jun 2020
Globally Injective ReLU Networks Michael Puthawala K. Kothari Matti Lassas Ivan Dokmanić Maarten V. de Hoop 103 28 0 15 Jun 2020
On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory Alexandre Araujo Benjamin Négrevergne Y. Chevaleyre Jamal Atif 45 0 0 15 Jun 2020
On Saliency Maps and Adversarial Robustness Puneet Mangla Vedant Singh V. Balasubramanian AAML 47 17 0 14 Jun 2020
Rethinking Clustering for Robustness Motasem Alfarra Juan C. Pérez Adel Bibi Ali K. Thabet Pablo Arbelaez Guohao Li OOD 41 0 0 13 Jun 2020
Achieving robustness in classification using optimal transport with hinge regularization M. Serrurier Franck Mamalet Alberto González Sanz Thibaut Boissin Jean-Michel Loubes E. del Barrio AAML 58 40 0 11 Jun 2020
Towards an Intrinsic Definition of Robustness for a Classifier Théo Giraudon Vincent Gripon Matthias Löwe Franck Vermet OOD AAML 25 2 0 09 Jun 2020
The Lipschitz Constant of Self-Attention Hyunjik Kim George Papamakarios A. Mnih 96 146 0 08 Jun 2020
All your loss are belong to Bayes Christian J. Walder Richard Nock 61 5 0 08 Jun 2020
Distributional Robustness with IPMs and links to Regularization and GANs Hisham Husain 70 22 0 08 Jun 2020
Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods Kyungmi Lee A. Chandrakasan ELM AAML 69 3 0 01 Jun 2020
Quantized Neural Networks: Characterization and Holistic Optimization Yoonho Boo Sungho Shin Wonyong Sung MQ 78 8 0 31 May 2020
Exploring Model Robustness with Adaptive Networks and Improved Adversarial Training Zheng Xu Ali Shafahi Tom Goldstein AAML 51 2 0 30 May 2020
Calibrated Surrogate Losses for Adversarially Robust Classification Han Bao Clayton Scott Masashi Sugiyama 78 46 0 28 May 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
Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce Juntao Li Chang Liu Jian Wang Lidong Bing Hongsong Li Xiaozhong Liu Dongyan Zhao Rui Yan 46 12 0 17 May 2020
Lifted Regression/Reconstruction Networks R. Høier Christopher Zach 31 7 0 07 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
CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices Valerii Likhosherstov Jared Davis K. Choromanski Adrian Weller 38 4 0 18 Apr 2020
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems I. Tyukin D. Higham A. Gorban AAML 46 39 0 09 Apr 2020
Controllable Orthogonalization in Training DNNs Lei Huang Li Liu Fan Zhu Diwen Wan Zehuan Yuan Bo Li Ling Shao 87 44 0 02 Apr 2020
Dataless Model Selection with the Deep Frame Potential Calvin Murdock Simon Lucey 84 6 0 30 Mar 2020
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective Qilong Wang Li Zhang Banggu Wu Dongwei Ren P. Li W. Zuo Q. Hu 75 21 0 25 Mar 2020
Defense Through Diverse Directions Christopher M. Bender Yang Li Yifeng Shi Michael K. Reiter Junier B. Oliva AAML 51 4 0 24 Mar 2020
Double Backpropagation for Training Autoencoders against Adversarial Attack Chengjin Sun Sizhe Chen Xiaolin Huang SILM AAML 81 5 0 04 Mar 2020
Exactly Computing the Local Lipschitz Constant of ReLU Networks Matt Jordan A. Dimakis 89 112 0 02 Mar 2020
Improving Robustness of Deep-Learning-Based Image Reconstruction Ankit Raj Y. Bresler Yue Liu OOD AAML 96 51 0 26 Feb 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger Jingfeng Zhang Xilie Xu Bo Han Gang Niu Li-zhen Cui Masashi Sugiyama Mohan S. Kankanhalli AAML 62 406 0 26 Feb 2020
$Gradient $\ell_1$ Regularization for Quantization Robustness$ Gradient $\ell_1$ Regularization for Quantization Robustness Milad Alizadeh Arash Behboodi M. V. Baalen Christos Louizos Tijmen Blankevoort Max Welling MQ 58 8 0 18 Feb 2020
Deflecting Adversarial Attacks Yao Qin Nicholas Frosst Colin Raffel G. Cottrell Geoffrey E. Hinton AAML 64 15 0 18 Feb 2020
ResiliNet: Failure-Resilient Inference in Distributed Neural Networks Ashkan Yousefpour Brian Q. Nguyen Siddartha Devic Guanhua Wang Aboudy Kreidieh Hans Lobel Alexandre M. Bayen J. Jue 48 2 0 18 Feb 2020
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness Huijie Feng Chunpeng Wu Guoyang Chen Weifeng Zhang Y. Ning AAML 71 11 0 17 Feb 2020
Generalised Lipschitz Regularisation Equals Distributional Robustness Zac Cranko Zhan Shi Xinhua Zhang Richard Nock Simon Kornblith OOD 86 21 0 11 Feb 2020
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study David Mickisch F. Assion Florens Greßner W. Günther M. Motta AAML 69 34 0 05 Feb 2020
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform Jun Li Fuxin Li S. Todorovic 89 107 0 04 Feb 2020
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild Rahul Duggal Scott Freitas Cao Xiao Duen Horng Chau Jimeng Sun 127 22 0 29 Jan 2020
PaRoT: A Practical Framework for Robust Deep Neural Network Training Edward W. Ayers Francisco Eiras Majd Hawasly I. Whiteside OOD 97 19 0 07 Jan 2020
ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense Meng Jianhai Su Jason M. O'Kane Pooyan Jamshidi AAML 57 7 0 02 Jan 2020