Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser

8 December 2017

Yinpeng Dong

Jun Zhu

Papers citing "Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser"

50 / 196 papers shown

Title
Mitigating Adversarial Attack for Compute-in-Memory Accelerator Utilizing On-chip Finetune Shanshi Huang Hongwu Jiang Shimeng Yu AAML 31 3 0 13 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 43 65 0 09 Apr 2021
Mitigating Gradient-based Adversarial Attacks via Denoising and Compression Rehana Mahfuz R. Sahay Aly El Gamal AAML 27 3 0 03 Apr 2021
Class-Aware Robust Adversarial Training for Object Detection Pin-Chun Chen Bo-Han Kung Jun-Cheng Chen AAML ObjD 28 48 0 30 Mar 2021
Enhancing the Transferability of Adversarial Attacks through Variance Tuning Xiaosen Wang Kun He AAML 52 382 0 29 Mar 2021
Unsupervised Robust Domain Adaptation without Source Data Peshal Agarwal D. Paudel Jan-Nico Zaech Luc Van Gool OOD TTA 34 27 0 26 Mar 2021
Boosting Adversarial Transferability through Enhanced Momentum Xiaosen Wang Jiadong Lin Han Hu Jingdong Wang Kun He AAML 21 76 0 19 Mar 2021
Learning Defense Transformers for Counterattacking Adversarial Examples Jincheng Li Jingyun Liang Yifan Zhang Jian Chen Mingkui Tan AAML 48 2 0 13 Mar 2021
Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack He Wang Feixiang He Zhexi Peng Tianjia Shao Yong-Liang Yang Kun Zhou David C. Hogg AAML 45 39 0 09 Mar 2021
Consistency Regularization for Adversarial Robustness Jihoon Tack Sihyun Yu Jongheon Jeong Minseon Kim Sung Ju Hwang Jinwoo Shin AAML 41 58 0 08 Mar 2021
CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification Mingu Kang T. Tran Seungju Cho Daeyoung Kim AAML 32 3 0 15 Feb 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS Felix O. Olowononi D. Rawat Chunmei Liu 41 134 0 14 Feb 2021
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review Dongrui Wu Jiaxin Xu Weili Fang Yi Zhang Liuqing Yang Xiaodong Xu Hanbin Luo Xiang Yu AAML 49 25 0 04 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao Bihan Wen Qian Wang AAML 86 481 0 02 Feb 2021
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 86 195 0 31 Jan 2021
A Comprehensive Evaluation Framework for Deep Model Robustness Jun Guo Wei Bao Jiakai Wang Yuqing Ma Xing Gao Gang Xiao Aishan Liu Zehao Zhao Xianglong Liu Wenjun Wu AAML ELM 38 56 0 24 Jan 2021
Exploring Adversarial Fake Images on Face Manifold Dongze Li Wei Wang Hongxing Fan Jing Dong AAML 45 42 0 09 Jan 2021
ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries Jinyin Chen Zhen Wang Haibin Zheng Jun Xiao Zhaoyan Ming AAML 41 5 0 18 Dec 2020
Generating Out of Distribution Adversarial Attack using Latent Space Poisoning Ujjwal Upadhyay Prerana Mukherjee 44 7 0 09 Dec 2020
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks Tao Bai Jinqi Luo Jun Zhao AAML 57 8 0 03 Nov 2020
Robust Pre-Training by Adversarial Contrastive Learning Ziyu Jiang Tianlong Chen Ting-Li Chen Zhangyang Wang 32 229 0 26 Oct 2020
Towards Robust Neural Networks via Orthogonal Diversity Kun Fang Qinghua Tao Yingwen Wu Tao Li Jia Cai Feipeng Cai Xiaolin Huang Jie Yang AAML 41 8 0 23 Oct 2020
Learning Black-Box Attackers with Transferable Priors and Query Feedback Jiancheng Yang Yangzhou Jiang Xiaoyang Huang Bingbing Ni Chenglong Zhao AAML 20 81 0 21 Oct 2020
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning Hongjun Wang Guanbin Li Xiaobai Liu Liang Lin GAN AAML 34 22 0 15 Oct 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 38 157 0 08 Sep 2020
Open-set Adversarial Defense Rui Shao Pramuditha Perera Pong C. Yuen Vishal M. Patel AAML 33 31 0 02 Sep 2020
Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks Abhiroop Bhattacharjee Priyadarshini Panda AAML 40 19 0 25 Aug 2020
Delving Deeper into Anti-aliasing in ConvNets Xueyan Zou Fanyi Xiao Zhiding Yu Yong Jae Lee SupR 32 104 0 21 Aug 2020
Defending Adversarial Examples via DNN Bottleneck Reinforcement Wenqing Liu Miaojing Shi Teddy Furon Li Li AAML 31 8 0 12 Aug 2020
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples Xiaojun Jia Xingxing Wei Xiaochun Cao Xiaoguang Han AAML 28 87 0 05 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 22 34 0 03 Aug 2020
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations Xiaoyu Zhang Ajmal Mian Rohit Gupta Nazanin Rahnavard M. Shah AAML 42 26 0 28 Jul 2020
A simple defense against adversarial attacks on heatmap explanations Laura Rieger Lars Kai Hansen FAtt AAML 40 37 0 13 Jul 2020
A Self-supervised Approach for Adversarial Robustness Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli AAML 29 253 0 08 Jun 2020
Quantized Neural Networks: Characterization and Holistic Optimization Yoonho Boo Sungho Shin Wonyong Sung MQ 55 8 0 31 May 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks Linhai Ma Liang Liang AAML 31 19 0 19 May 2020
Class-Aware Domain Adaptation for Improving Adversarial Robustness Xianxu Hou Jingxin Liu Bolei Xu Xiaolong Wang Bozhi Liu Guoping Qiu OOD AAML 48 8 0 10 May 2020
Adversarial Attacks and Defenses: An Interpretation Perspective Ninghao Liu Mengnan Du Ruocheng Guo Huan Liu Xia Hu AAML 31 8 0 23 Apr 2020
Adversarial Weight Perturbation Helps Robust Generalization Dongxian Wu Shutao Xia Yisen Wang OOD AAML 22 17 0 13 Apr 2020
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking Hongjun Wang Guangrun Wang Ya Li Dongyu Zhang Liang Lin AAML 27 83 0 08 Apr 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning Tianlong Chen Sijia Liu Shiyu Chang Yu Cheng Lisa Amini Zhangyang Wang AAML 18 246 0 28 Mar 2020
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference Ting-Kuei Hu Tianlong Chen Haotao Wang Zhangyang Wang OOD AAML 3DH 20 84 0 24 Feb 2020
Analyzing the Noise Robustness of Deep Neural Networks Kelei Cao Mengchen Liu Hang Su Jing Wu Jun Zhu Shixia Liu AAML 65 89 0 26 Jan 2020
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet Sizhe Chen Zhengbao He Chengjin Sun Jie Yang Xiaolin Huang AAML 31 104 0 16 Jan 2020
Benchmarking Adversarial Robustness Yinpeng Dong Qi-An Fu Xiao Yang Tianyu Pang Hang Su Zihao Xiao Jun Zhu AAML 33 36 0 26 Dec 2019
TRADI: Tracking deep neural network weight distributions for uncertainty estimation Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch UQCV 28 51 0 24 Dec 2019
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes Keane Lucas Mahmood Sharif Lujo Bauer Michael K. Reiter S. Shintre AAML 36 67 0 19 Dec 2019
What it Thinks is Important is Important: Robustness Transfers through Input Gradients Alvin Chan Yi Tay Yew-Soon Ong AAML OOD 19 51 0 11 Dec 2019
One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples Chang Xiao Changxi Zheng AAML 30 19 0 25 Nov 2019
Fine-grained Synthesis of Unrestricted Adversarial Examples Omid Poursaeed Tianxing Jiang Yordanos Goshu Harry Yang Serge J. Belongie Ser-Nam Lim AAML 44 13 0 20 Nov 2019