Feature Denoising for Improving Adversarial Robustness

9 December 2018

Cihang Xie

Yuxin Wu

L. V. D. van der Maaten

Alan Yuille

Kaiming He

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Papers citing "Feature Denoising for Improving Adversarial Robustness"

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Title
Towards Robust Neural Networks via Orthogonal Diversity Kun Fang Qinghua Tao Yingwen Wu Tao Li Jia Cai Feipeng Cai Xiaolin Huang Jie-jin Yang AAML 36 8 0 23 Oct 2020
Defense-guided Transferable Adversarial Attacks Zifei Zhang Kai Qiao Jian Chen Ningning Liang AAML 14 0 0 22 Oct 2020
Boosting Gradient for White-Box Adversarial Attacks Hongying Liu Zhenyu Zhou Fanhua Shang Xiaoyu Qi Yuanyuan Liu L. Jiao AAML 16 7 0 21 Oct 2020
Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods Byungjoo Kim Bryce Chudomelka Jinyoung Park Jaewoo Kang Youngjoon Hong Hyunwoo J. Kim AAML 12 6 0 20 Oct 2020
Weight-Covariance Alignment for Adversarially Robust Neural Networks Panagiotis Eustratiadis Henry Gouk Da Li Timothy M. Hospedales OOD AAML 14 23 0 17 Oct 2020
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning Hongjun Wang Guanbin Li Xiaobai Liu Liang Lin GAN AAML 16 22 0 15 Oct 2020
Learning Task-aware Robust Deep Learning Systems Keji Han Yun Li Xianzhong Long Yao Ge OOD 21 0 0 11 Oct 2020
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples Sven Gowal Chongli Qin J. Uesato Timothy A. Mann Pushmeet Kohli AAML 17 324 0 07 Oct 2020
CorrAttack: Black-box Adversarial Attack with Structured Search Zhichao Huang Yaowei Huang Tong Zhang AAML 8 8 0 03 Oct 2020
Deep learning for time series classification Hassan Ismail Fawaz BDL AI4TS 43 35 0 01 Oct 2020
Bag of Tricks for Adversarial Training Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu AAML 25 261 0 01 Oct 2020
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients Yifei Huang Yaodong Yu Hongyang R. Zhang Yi Ma Yuan Yao AAML 37 26 0 28 Sep 2020
Beneficial Perturbations Network for Defending Adversarial Examples Shixian Wen A. Rios Laurent Itti AAML 6 1 0 27 Sep 2020
Feature Distillation With Guided Adversarial Contrastive Learning Tao Bai Jinnan Chen Jun Zhao Bihan Wen Xudong Jiang Alex C. Kot AAML 12 9 0 21 Sep 2020
MultAV: Multiplicative Adversarial Videos Shao-Yuan Lo Vishal M. Patel AAML 26 8 0 17 Sep 2020
Defending Against Multiple and Unforeseen Adversarial Videos Shao-Yuan Lo Vishal M. Patel AAML 31 23 0 11 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 156 0 08 Sep 2020
Adversarially Robust Neural Architectures Minjing Dong Yanxi Li Yunhe Wang Chang Xu AAML OOD 42 48 0 02 Sep 2020
Open-set Adversarial Defense Rui Shao Pramuditha Perera Pong C. Yuen Vishal M. Patel AAML 23 30 0 02 Sep 2020
Shape Defense Against Adversarial Attacks Ali Borji AAML 24 1 0 31 Aug 2020
Benchmarking adversarial attacks and defenses for time-series data Shoaib Ahmed Siddiqui Andreas Dengel Sheraz Ahmed AAML AI4TS 8 9 0 30 Aug 2020
Delving Deeper into Anti-aliasing in ConvNets Xueyan Zou Fanyi Xiao Zhiding Yu Yong Jae Lee SupR 30 102 0 21 Aug 2020
Two-branch Recurrent Network for Isolating Deepfakes in Videos I. Masi Aditya Killekar R. Mascarenhas Shenoy Pratik Gurudatt Wael AbdAlmageed CVBM 13 360 0 08 Aug 2020
Anti-Bandit Neural Architecture Search for Model Defense Hanlin Chen Baochang Zhang Shenjun Xue Xuan Gong Hong Liu Rongrong Ji David Doermann AAML 19 33 0 03 Aug 2020
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations Xiaoyu Zhang Ajmal Mian Rohit Gupta Nazanin Rahnavard M. Shah AAML 30 26 0 28 Jul 2020
Attacking and Defending Machine Learning Applications of Public Cloud Dou Goodman Xin Hao SILM AAML 24 7 0 27 Jul 2020
Robust Tracking against Adversarial Attacks Shuai Jia Chao Ma Yibing Song Xiaokang Yang AAML 28 48 0 20 Jul 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge Zhiqiang Tang Yunhe Gao Leonid Karlinsky P. Sattigeri Rogerio Feris Dimitris N. Metaxas 19 56 0 17 Jul 2020
Patch-wise Attack for Fooling Deep Neural Network Lianli Gao Qilong Zhang Jingkuan Song Xianglong Liu Heng Tao Shen AAML 32 137 0 14 Jul 2020
Improving Adversarial Robustness by Enforcing Local and Global Compactness Anh-Vu Bui Trung Le He Zhao Paul Montague O. deVel Tamas Abraham Dinh Q. Phung AAML 20 24 0 10 Jul 2020
Efficient detection of adversarial images Darpan Kumar Yadav Kartik Mundra Rahul Modpur Arpan Chattopadhyay I. Kar AAML 14 1 0 09 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey S. Silva Peyman Najafirad AAML OOD 23 131 0 01 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 24 533 0 01 Jul 2020
Biologically Inspired Mechanisms for Adversarial Robustness M. V. Reddy Andrzej Banburski Nishka Pant T. Poggio AAML 18 46 0 29 Jun 2020
Orthogonal Deep Models As Defense Against Black-Box Attacks M. Jalwana Naveed Akhtar Bennamoun Ajmal Mian AAML 19 11 0 26 Jun 2020
Smooth Adversarial Training Cihang Xie Mingxing Tan Boqing Gong Alan Yuille Quoc V. Le OOD 30 152 0 25 Jun 2020
Towards an Adversarially Robust Normalization Approach Muhammad Awais Fahad Shamshad Sung-Ho Bae AAML OOD 44 19 0 19 Jun 2020
REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions Lokender Tiwari Anish Madan Saket Anand Subhashis Banerjee AAML 18 1 0 18 Jun 2020
On Saliency Maps and Adversarial Robustness Puneet Mangla Vedant Singh V. Balasubramanian AAML 24 16 0 14 Jun 2020
The Pitfalls of Simplicity Bias in Neural Networks Harshay Shah Kaustav Tamuly Aditi Raghunathan Prateek Jain Praneeth Netrapalli AAML 18 348 0 13 Jun 2020
Defensive Approximation: Securing CNNs using Approximate Computing Amira Guesmi Ihsen Alouani Khaled N. Khasawneh M. Baklouti T. Frikha Mohamed Abid Nael B. Abu-Ghazaleh AAML 16 37 0 13 Jun 2020
Rethinking Clustering for Robustness Motasem Alfarra Juan C. Pérez Adel Bibi Ali K. Thabet Pablo Arbelaez Guohao Li OOD 19 0 0 13 Jun 2020
D-square-B: Deep Distribution Bound for Natural-looking Adversarial Attack Qiuling Xu Guanhong Tao Xiangyu Zhang AAML 22 2 0 12 Jun 2020
Large-Scale Adversarial Training for Vision-and-Language Representation Learning Zhe Gan Yen-Chun Chen Linjie Li Chen Zhu Yu Cheng Jingjing Liu ObjD VLM 35 488 0 11 Jun 2020
Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features K. K. Nakka Mathieu Salzmann AAML 25 6 0 10 Jun 2020
A Self-supervised Approach for Adversarial Robustness Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli AAML 22 251 0 08 Jun 2020
Robust Face Verification via Disentangled Representations Marius Arvinte Ahmed H. Tewfik S. Vishwanath CVBM 22 1 0 05 Jun 2020
Towards Understanding Fast Adversarial Training Bai Li Shiqi Wang Suman Jana Lawrence Carin AAML 32 50 0 04 Jun 2020
Exploring Model Robustness with Adaptive Networks and Improved Adversarial Training Zheng Xu Ali Shafahi Tom Goldstein AAML 24 2 0 30 May 2020
Class-Aware Domain Adaptation for Improving Adversarial Robustness Xianxu Hou Jingxin Liu Bolei Xu Xiaolong Wang Bozhi Liu Guoping Qiu OOD AAML 43 8 0 10 May 2020