Parseval Networks: Improving Robustness to Adversarial Examples

28 April 2017

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

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Title
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance Mahmoud Afifi M. Brown AAML 10 114 0 15 Dec 2019
Two Way Adversarial Unsupervised Word Translation Blaine Cole GAN 9 0 0 12 Dec 2019
Gabor Layers Enhance Network Robustness Juan C. Pérez Motasem Alfarra Guillaume Jeanneret Adel Bibi Ali K. Thabet Bernard Ghanem Pablo Arbelaez AAML 11 17 0 11 Dec 2019
An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness Adam Noack Isaac Ahern Dejing Dou Boyang Albert Li OOD AAML 16 10 0 07 Dec 2019
Adversarial Risk via Optimal Transport and Optimal Couplings Muni Sreenivas Pydi Varun Jog 16 59 0 05 Dec 2019
Continuous Graph Neural Networks Louis-Pascal Xhonneux Meng Qu Jian Tang GNN 19 149 0 02 Dec 2019
Attributional Robustness Training using Input-Gradient Spatial Alignment M. Singh Nupur Kumari Puneet Mangla Abhishek Sinha V. Balasubramanian Balaji Krishnamurthy OOD 21 10 0 29 Nov 2019
Fantastic Four: Differentiable Bounds on Singular Values of Convolution Layers Sahil Singla S. Feizi AAML 22 7 0 22 Nov 2019
Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method Junjie Hu Takayuki Okatani AAML MDE 35 15 0 20 Nov 2019
On Model Robustness Against Adversarial Examples Shufei Zhang Kaizhu Huang Zenglin Xu AAML 20 0 0 15 Nov 2019
Adversarial Margin Maximization Networks Ziang Yan Yiwen Guo Changshui Zhang AAML 8 12 0 14 Nov 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 11 32 0 14 Nov 2019
Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory Arash Rahnama A. Nguyen Edward Raff AAML 14 20 0 12 Nov 2019
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks Qiyang Li Saminul Haque Cem Anil James Lucas Roger C. Grosse Joern-Henrik Jacobsen 12 112 0 03 Nov 2019
Adversarial Music: Real World Audio Adversary Against Wake-word Detection System Juncheng Billy Li Shuhui Qu Xinjian Li Joseph Szurley J. Zico Kolter Florian Metze AAML 10 63 0 31 Oct 2019
Structure Matters: Towards Generating Transferable Adversarial Images Dan Peng Zizhan Zheng Linhao Luo Xiaofeng Zhang AAML 6 2 0 22 Oct 2019
Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation A. Sarkar Nikhil Kumar Gupta Raghu Sesha Iyengar AAML 6 11 0 17 Oct 2019
Notes on Margin Training and Margin p-Values for Deep Neural Network Classifiers G. Kesidis David J. Miller Zhen Xiang 11 0 0 15 Oct 2019
Testing and verification of neural-network-based safety-critical control software: A systematic literature review Jin Zhang Jingyue Li 15 47 0 05 Oct 2019
Training Robust Deep Neural Networks via Adversarial Noise Propagation Aishan Liu Xianglong Liu Chongzhi Zhang Hang Yu Qiang Liu Dacheng Tao AAML 19 109 0 19 Sep 2019
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks Sekitoshi Kanai Yasutoshi Ida Yasuhiro Fujiwara Masanori Yamada S. Adachi AAML 15 1 0 19 Sep 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Jiliang Tang Anil K. Jain AAML 28 667 0 17 Sep 2019
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors Gilad Cohen Guillermo Sapiro Raja Giryes TDI 11 122 0 15 Sep 2019
Wasserstein Diffusion Tikhonov Regularization A. Lin Yonatan Dukler Wuchen Li Guido Montúfar 11 2 0 15 Sep 2019
Feedback Learning for Improving the Robustness of Neural Networks Chang Song Zuoguan Wang H. Li AAML 14 7 0 12 Sep 2019
Structural Robustness for Deep Learning Architectures Carlos Lassance Vincent Gripon Jian Tang Antonio Ortega OOD 19 2 0 11 Sep 2019
Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation ZENGMING SHEN Yifan Chen S. Kevin Zhou Bogdan Georgescu Xuqi Liu Thomas S. Huang SSL MedIm 11 1 0 09 Sep 2019
Metric Learning for Adversarial Robustness Chengzhi Mao Ziyuan Zhong Junfeng Yang Carl Vondrick Baishakhi Ray OOD 17 183 0 03 Sep 2019
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning Zhijun Mai Guosheng Hu Dexiong Chen Fumin Shen Heng Tao Shen 13 41 0 27 Aug 2019
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Seungju Cho Tae Joon Jun Byungsoo Oh Daeyoung Kim 17 31 0 14 Aug 2019
Benchmarking the Robustness of Semantic Segmentation Models Christoph Kamann Carsten Rother VLM UQCV 11 160 0 14 Aug 2019
Likelihood Contribution based Multi-scale Architecture for Generative Flows Hari Prasanna Das Pieter Abbeel C. Spanos DRL AI4CE 12 5 0 05 Aug 2019
Understanding Adversarial Robustness: The Trade-off between Minimum and Average Margin Kaiwen Wu Yaoliang Yu AAML 20 7 0 26 Jul 2019
A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem Pei-Chang Guo 18 5 0 25 Jul 2019
Recovery Guarantees for Compressible Signals with Adversarial Noise J. Dhaliwal Kyle Hambrook AAML 14 2 0 15 Jul 2019
Unsupervised Adversarial Graph Alignment with Graph Embedding Chaoqi Chen Weiping Xie Tingyang Xu Yu Rong Wenbing Huang Xinghao Ding Yue Huang Junzhou Huang 14 15 0 01 Jul 2019
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks Ahmed T. Elthakeb Prannoy Pilligundla Alex Cloninger H. Esmaeilzadeh MQ 18 8 0 14 Jun 2019
Gradient Descent Maximizes the Margin of Homogeneous Neural Networks Kaifeng Lyu Jian Li 24 321 0 13 Jun 2019
On regularization for a convolutional kernel in neural networks Pei-Chang Guo Q. Ye 20 1 0 12 Jun 2019
Stable Rank Normalization for Improved Generalization in Neural Networks and GANs Amartya Sanyal Philip H. S. Torr P. Dokania 25 43 0 11 Jun 2019
Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness Walt Woods Jack H Chen C. Teuscher AAML 8 46 0 07 Jun 2019
FSPool: Learning Set Representations with Featurewise Sort Pooling Yan Zhang Jonathon S. Hare Adam Prugel-Bennett 17 75 0 06 Jun 2019
Enhancing Gradient-based Attacks with Symbolic Intervals Shiqi Wang Yizheng Chen Ahmed Abdou Suman Jana AAML 15 15 0 05 Jun 2019
Adversarial Training is a Form of Data-dependent Operator Norm Regularization Kevin Roth Yannic Kilcher Thomas Hofmann 14 12 0 04 Jun 2019
Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction Hosnieh Sattar Katharina Krombholz Gerard Pons-Moll Mario Fritz 3DH 18 3 0 27 May 2019
Inverse Reinforcement Learning in Contextual MDPs Stav Belogolovsky Philip Korsunsky Shie Mannor Chen Tessler Tom Zahavy OffRL BDL 15 18 0 23 May 2019
What Do Adversarially Robust Models Look At? Takahiro Itazuri Yoshihiro Fukuhara Hirokatsu Kataoka Shigeo Morishima 16 5 0 19 May 2019
Simple Black-box Adversarial Attacks Chuan Guo J. Gardner Yurong You A. Wilson Kilian Q. Weinberger AAML 11 564 0 17 May 2019
Orthogonal Deep Neural Networks K. Jia Shuai Li Yuxin Wen Tongliang Liu Dacheng Tao 28 131 0 15 May 2019
Learning Generative Models across Incomparable Spaces Charlotte Bunne David Alvarez-Melis Andreas Krause Stefanie Jegelka GAN 17 112 0 14 May 2019