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 Image Classification Using Sequential Attention Models Daniel Zoran Mike Chrzanowski Po-Sen Huang Sven Gowal Alex Mott Pushmeet Kohli AAML 16 62 0 04 Dec 2019
A Survey of Black-Box Adversarial Attacks on Computer Vision Models Siddhant Bhambri Sumanyu Muku Avinash Tulasi Arun Balaji Buduru AAML VLM 17 79 0 03 Dec 2019
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples Nils Lukas Yuxuan Zhang Florian Kerschbaum MLAU FedML AAML 31 144 0 02 Dec 2019
Domain-invariant Stereo Matching Networks Feihu Zhang Xiaojuan Qi Ruigang Yang V. Prisacariu B. Wah Philip Torr OOD 16 167 0 29 Nov 2019
Can Attention Masks Improve Adversarial Robustness? Pratik Vaishnavi Tianji Cong Kevin Eykholt A. Prakash Amir Rahmati AAML 19 12 0 27 Nov 2019
An Adaptive View of Adversarial Robustness from Test-time Smoothing Defense Chao Tang Yifei Fan A. Yezzi AAML 6 2 0 26 Nov 2019
One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples Chang Xiao Changxi Zheng AAML 25 19 0 25 Nov 2019
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks Minghao Guo Yuzhe Yang Rui Xu Ziwei Liu Dahua Lin AAML OOD 19 157 0 25 Nov 2019
Adversarial Examples Improve Image Recognition Cihang Xie Mingxing Tan Boqing Gong Jiang Wang Alan Yuille Quoc V. Le AAML 42 564 0 21 Nov 2019
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks Katherine L. Hermann Ting Chen Simon Kornblith CVBM 21 21 0 20 Nov 2019
Fine-grained Synthesis of Unrestricted Adversarial Examples Omid Poursaeed Tianxing Jiang Yordanos Goshu Harry Yang Serge J. Belongie Ser-Nam Lim AAML 37 13 0 20 Nov 2019
Adversarial Robustness of Flow-Based Generative Models Phillip E. Pope Yogesh Balaji S. Feizi AAML 13 20 0 20 Nov 2019
Defective Convolutional Networks Tiange Luo Tianle Cai Mengxiao Zhang Siyu Chen Di He Liwei Wang AAML 30 3 0 19 Nov 2019
Live Face De-Identification in Video Oran Gafni Lior Wolf Yaniv Taigman CVBM PICV 26 134 0 19 Nov 2019
Smoothed Inference for Adversarially-Trained Models Yaniv Nemcovsky Evgenii Zheltonozhskii Chaim Baskin Brian Chmiel Maxim Fishman A. Bronstein A. Mendelson AAML FedML 21 2 0 17 Nov 2019
Black-Box Adversarial Attack with Transferable Model-based Embedding Zhichao Huang Tong Zhang 17 118 0 17 Nov 2019
Self-supervised Adversarial Training Kejiang Chen Hang Zhou YueFeng Chen Xiaofeng Mao Yuhong Li Yuan He Hui Xue Weiming Zhang Nenghai Yu GAN SSL 19 23 0 15 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 18 104 0 13 Nov 2019
An Alternative Surrogate Loss for PGD-based Adversarial Testing Sven Gowal J. Uesato Chongli Qin Po-Sen Huang Timothy A. Mann Pushmeet Kohli AAML 50 89 0 21 Oct 2019
Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation A. Sarkar Nikhil Kumar Gupta Raghu Sesha Iyengar AAML 14 11 0 17 Oct 2019
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets Yogesh Balaji Tom Goldstein Judy Hoffman AAML 134 103 0 17 Oct 2019
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone Tianchu Guo Yongchao Liu Hui Zhang Xiabing Liu Youngjun Kwak ByungIn Yoo Jae-Joon Han Changkyu Choi 17 34 0 16 Oct 2019
On Robustness of Neural Ordinary Differential Equations Hanshu Yan Jiawei Du Vincent Y. F. Tan Jiashi Feng OOD 19 138 0 12 Oct 2019
Adversarial Examples for Cost-Sensitive Classifiers Mahdi Akbari Zarkesh A. Lohn Ali Movaghar SILM AAML 24 3 0 04 Oct 2019
An empirical study of pretrained representations for few-shot classification Tiago Ramalho Laura Vana-Gur P. Filzmoser VLM 17 6 0 03 Oct 2019
Adversarially Robust Few-Shot Learning: A Meta-Learning Approach Micah Goldblum Liam H. Fowl Tom Goldstein 14 13 0 02 Oct 2019
Deep k-NN Defense against Clean-label Data Poisoning Attacks Neehar Peri Neal Gupta Yifan Jiang Liam H. Fowl Chen Zhu S. Feizi Tom Goldstein John P. Dickerson AAML 11 6 0 29 Sep 2019
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 232 438 0 25 Sep 2019
White-Box Adversarial Defense via Self-Supervised Data Estimation Zudi Lin Hanspeter Pfister Ziming Zhang AAML 8 2 0 13 Sep 2019
Universal Physical Camouflage Attacks on Object Detectors Lifeng Huang Chengying Gao Yuyin Zhou Cihang Xie Alan Yuille C. Zou Ning Liu AAML 143 161 0 10 Sep 2019
Metric Learning for Adversarial Robustness Chengzhi Mao Ziyuan Zhong Junfeng Yang Carl Vondrick Baishakhi Ray OOD 19 183 0 03 Sep 2019
Improving Adversarial Robustness via Attention and Adversarial Logit Pairing Dou Goodman Xingjian Li Ji Liu Jun Huan Tao Wei AAML 14 7 0 23 Aug 2019
Saccader: Improving Accuracy of Hard Attention Models for Vision Gamaleldin F. Elsayed Simon Kornblith Quoc V. Le VLM 29 71 0 20 Aug 2019
BlurNet: Defense by Filtering the Feature Maps Ravi Raju Mikko H. Lipasti AAML 39 15 0 06 Aug 2019
A principled approach for generating adversarial images under non-smooth dissimilarity metrics Aram-Alexandre Pooladian Chris Finlay Tim Hoheisel Adam M. Oberman AAML 12 3 0 05 Aug 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training Haichao Zhang Jianyu Wang AAML 23 230 0 24 Jul 2019
Joint Adversarial Training: Incorporating both Spatial and Pixel Attacks Haichao Zhang Jianyu Wang 17 4 0 24 Jul 2019
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems Xingjun Ma Yuhao Niu Lin Gu Yisen Wang Yitian Zhao James Bailey Feng Lu MedIm AAML 22 444 0 24 Jul 2019
Towards Adversarially Robust Object Detection Haichao Zhang Jianyu Wang AAML ObjD 23 130 0 24 Jul 2019
Robustness properties of Facebook's ResNeXt WSL models Emin Orhan VLM 19 30 0 17 Jul 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 83 1,422 0 16 Jul 2019
Adversarial Robustness through Local Linearization Chongli Qin James Martens Sven Gowal Dilip Krishnan Krishnamurthy Dvijotham Alhussein Fawzi Soham De Robert Stanforth Pushmeet Kohli AAML 26 305 0 04 Jul 2019
Diminishing the Effect of Adversarial Perturbations via Refining Feature Representation Nader Asadi Amirm. Sarfi Mehrdad Hosseinzadeh Sahba Tahsini M. Eftekhari AAML 13 2 0 01 Jul 2019
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty Dan Hendrycks Mantas Mazeika Saurav Kadavath D. Song OOD SSL 8 935 0 28 Jun 2019
Defending Adversarial Attacks by Correcting logits Yifeng Li Lingxi Xie Ya Zhang Rui Zhang Yanfeng Wang Qi Tian AAML 29 5 0 26 Jun 2019
Towards Compact and Robust Deep Neural Networks Vikash Sehwag Shiqi Wang Prateek Mittal Suman Jana AAML 22 40 0 14 Jun 2019
Intriguing properties of adversarial training at scale Cihang Xie Alan Yuille AAML 13 68 0 10 Jun 2019
Defending Against Universal Attacks Through Selective Feature Regeneration Tejas S. Borkar Felix Heide Lina Karam AAML 13 1 0 08 Jun 2019
Inductive Bias of Gradient Descent based Adversarial Training on Separable Data Yan Li Ethan X. Fang Huan Xu T. Zhao 17 16 0 07 Jun 2019
Do Image Classifiers Generalize Across Time? Vaishaal Shankar Achal Dave Rebecca Roelofs Deva Ramanan Benjamin Recht Ludwig Schmidt 20 82 0 05 Jun 2019