Feature Denoising for Improving Adversarial Robustness

9 December 2018

Cihang Xie

Yuxin Wu

L. V. D. van der Maaten

Alan Yuille

Kaiming He

ArXiv PDF HTML

Papers citing "Feature Denoising for Improving Adversarial Robustness"

50 / 478 papers shown

Title
Learning Defense Transformers for Counterattacking Adversarial Examples Jincheng Li Jingyun Liang Yifan Zhang Jian Chen Mingkui Tan AAML 37 2 0 13 Mar 2021
A Unified Game-Theoretic Interpretation of Adversarial Robustness Jie Ren Die Zhang Yisen Wang Lu Chen Zhanpeng Zhou ... Xu Cheng Xin Wang Meng Zhou Jie Shi Quanshi Zhang AAML 72 22 0 12 Mar 2021
Multi-Task Federated Reinforcement Learning with Adversaries Aqeel Anwar A. Raychowdhury AAML FedML 13 20 0 11 Mar 2021
Improving Adversarial Robustness via Channel-wise Activation Suppressing Yang Bai Yuyuan Zeng Yong Jiang Shutao Xia Xingjun Ma Yisen Wang AAML 37 129 0 11 Mar 2021
Revisiting Model's Uncertainty and Confidences for Adversarial Example Detection Ahmed Aldahdooh W. Hamidouche Olivier Déforges AAML 21 28 0 09 Mar 2021
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack Mengting Xu Tao Zhang Zhongnian Li Mingxia Liu Daoqiang Zhang AAML OOD MedIm 33 41 0 05 Mar 2021
Dynamic Efficient Adversarial Training Guided by Gradient Magnitude Fu Lee Wang Yanghao Zhang Yanbin Zheng Wenjie Ruan 28 1 0 04 Mar 2021
Structure-Preserving Progressive Low-rank Image Completion for Defending Adversarial Attacks Zhiqun Zhao Hengyou Wang Hao Sun Zhihai He AAML 11 0 0 04 Mar 2021
On the effectiveness of adversarial training against common corruptions Klim Kireev Maksym Andriushchenko Nicolas Flammarion AAML 19 101 0 03 Mar 2021
Group-wise Inhibition based Feature Regularization for Robust Classification Haozhe Liu Haoqian Wu Weicheng Xie Feng Liu Linlin Shen OOD 27 16 0 03 Mar 2021
Fixing Data Augmentation to Improve Adversarial Robustness Sylvestre-Alvise Rebuffi Sven Gowal D. A. Calian Florian Stimberg Olivia Wiles Timothy A. Mann AAML 36 269 0 02 Mar 2021
Explaining Adversarial Vulnerability with a Data Sparsity Hypothesis Mahsa Paknezhad Cuong Phuc Ngo Amadeus Aristo Winarto Alistair Cheong Beh Chuen Yang Wu Jiayang Lee Hwee Kuan OOD AAML 26 9 0 01 Mar 2021
Multiplicative Reweighting for Robust Neural Network Optimization Noga Bar Tomer Koren Raja Giryes OOD NoLa 18 9 0 24 Feb 2021
$Measuring the Transferability of $\ell_\infty$ Attacks by the $\ell_2$ Norm$ Measuring the Transferability of $\ell_\infty$ Attacks by the $\ell_2$ Norm Sizhe Chen Qinghua Tao Zhixing Ye Xiaolin Huang 15 0 0 20 Feb 2021
Low Curvature Activations Reduce Overfitting in Adversarial Training Vasu Singla Sahil Singla David Jacobs S. Feizi AAML 32 45 0 15 Feb 2021
CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification Mingu Kang T. Tran Seungju Cho Daeyoung Kim AAML 27 3 0 15 Feb 2021
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection Hanshu Yan Jingfeng Zhang Gang Niu Jiashi Feng Vincent Y. F. Tan Masashi Sugiyama AAML 30 41 0 10 Feb 2021
Adversarial Imaging Pipelines Buu Phan Fahim Mannan Felix Heide AAML 14 26 0 07 Feb 2021
Bottleneck Transformers for Visual Recognition A. Srinivas Nayeon Lee Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani SLR 290 980 0 27 Jan 2021
Understanding and Achieving Efficient Robustness with Adversarial Supervised Contrastive Learning Anh-Vu Bui Trung Le He Zhao Paul Montague S. Çamtepe Dinh Q. Phung AAML 18 14 0 25 Jan 2021
Error Diffusion Halftoning Against Adversarial Examples Shao-Yuan Lo Vishal M. Patel DiffM 15 4 0 23 Jan 2021
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving James Tu Huichen Li Xinchen Yan Mengye Ren Yun Chen Ming Liang E. Bitar Ersin Yumer R. Urtasun AAML 32 76 0 17 Jan 2021
Adversarial Machine Learning in Text Analysis and Generation I. Alsmadi AAML 24 5 0 14 Jan 2021
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing Andreas Bär Jonas Löhdefink Nikhil Kapoor Serin Varghese Fabian Hüger Peter Schlicht Tim Fingscheidt AAML 108 33 0 11 Jan 2021
One-Class Classification: A Survey Pramuditha Perera Poojan Oza Vishal M. Patel 52 112 0 08 Jan 2021
The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks Arno Blaas Stephen J. Roberts BDL AAML 60 2 0 07 Jan 2021
Patch-wise++ Perturbation for Adversarial Targeted Attacks Lianli Gao Qilong Zhang Jingkuan Song Heng Tao Shen AAML 35 17 0 31 Dec 2020
Enhanced Regularizers for Attributional Robustness A. Sarkar Anirban Sarkar V. Balasubramanian 21 16 0 28 Dec 2020
A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning Ahmadreza Jeddi M. Shafiee A. Wong AAML 33 37 0 25 Dec 2020
ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries Jinyin Chen Zhen Wang Haibin Zheng Jun Xiao Zhaoyan Ming AAML 19 5 0 18 Dec 2020
On the Limitations of Denoising Strategies as Adversarial Defenses Zhonghan Niu Zhaoxi Chen Linyi Li Yubin Yang Bo-wen Li Jinfeng Yi AAML 33 14 0 17 Dec 2020
A Closer Look at the Robustness of Vision-and-Language Pre-trained Models Linjie Li Zhe Gan Jingjing Liu VLM 33 42 0 15 Dec 2020
Amata: An Annealing Mechanism for Adversarial Training Acceleration Nanyang Ye Qianxiao Li Xiao-Yun Zhou Zhanxing Zhu AAML 32 15 0 15 Dec 2020
Composite Adversarial Attacks Xiaofeng Mao YueFeng Chen Shuhui Wang Hang Su Yuan He Hui Xue AAML 33 48 0 10 Dec 2020
Mitigating the Impact of Adversarial Attacks in Very Deep Networks Mohammed Hassanin Ibrahim Radwan Nour Moustafa M. Tahtali Neeraj Kumar AAML 18 5 0 08 Dec 2020
Data-Dependent Randomized Smoothing Motasem Alfarra Adel Bibi Philip Torr Guohao Li UQCV 28 34 0 08 Dec 2020
Overcomplete Representations Against Adversarial Videos Shao-Yuan Lo Jeya Maria Jose Valanarasu Vishal M. Patel AAML 33 8 0 08 Dec 2020
A Singular Value Perspective on Model Robustness Malhar Jere Maghav Kumar F. Koushanfar AAML 31 6 0 07 Dec 2020
Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks Christian Cosgrove Adam Kortylewski Chenglin Yang Alan Yuille AAML 9 4 0 01 Dec 2020
FaceGuard: A Self-Supervised Defense Against Adversarial Face Images Debayan Deb Xiaoming Liu Anil K. Jain CVBM AAML PICV 11 27 0 28 Nov 2020
Deterministic Certification to Adversarial Attacks via Bernstein Polynomial Approximation Ching-Chia Kao Jhe-Bang Ko Chun-Shien Lu AAML 24 1 0 28 Nov 2020
Voting based ensemble improves robustness of defensive models Devvrit Minhao Cheng Cho-Jui Hsieh Inderjit Dhillon OOD FedML AAML 41 12 0 28 Nov 2020
Exposing the Robustness and Vulnerability of Hybrid 8T-6T SRAM Memory Architectures to Adversarial Attacks in Deep Neural Networks Abhishek Moitra Priyadarshini Panda AAML 27 2 0 26 Nov 2020
Self-Gradient Networks Hossein Aboutalebi M. Shafiee AAML 22 0 0 18 Nov 2020
Extreme Value Preserving Networks Mingjie Sun Jianguo Li Changshui Zhang AAML MDE 8 0 0 17 Nov 2020
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks Yuxin Wen Shuai Li Kui Jia AAML 10 24 0 15 Nov 2020
Adversarial Image Color Transformations in Explicit Color Filter Space Zhengyu Zhao Zhuoran Liu Martha Larson AAML 32 12 0 12 Nov 2020
Adversarial Counterfactual Learning and Evaluation for Recommender System Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan OffRL CML 16 33 0 08 Nov 2020
Defense-friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty Camilo Pestana Wei Liu D. Glance Ajmal Mian AAML 18 5 0 05 Nov 2020
ATRO: Adversarial Training with a Rejection Option Masahiro Kato Zhenghang Cui Yoshihiro Fukuhara AAML 23 11 0 24 Oct 2020