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Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness Zhuolin Yang Linyi Li Xiaojun Xu Shiliang Zuo Qiang Chen Benjamin I. P. Rubinstein Pan Zhou Ce Zhang Yue Liu AAML 139 56 0 01 Apr 2021
Towards Evaluating and Training Verifiably Robust Neural Networks Zhaoyang Lyu Minghao Guo Tong Wu Guodong Xu Kehuan Zhang Dahua Lin AAML 95 23 0 01 Apr 2021
Domain Invariant Adversarial Learning Matan Levi Idan Attias A. Kontorovich AAML OOD 122 11 0 01 Apr 2021
Fast Certified Robust Training with Short Warmup Zhouxing Shi Yihan Wang Huan Zhang Jinfeng Yi Cho-Jui Hsieh AAML 99 57 0 31 Mar 2021
Adversarial Attacks and Defenses for Speech Recognition Systems Piotr Żelasko Sonal Joshi Yiwen Shao Jesus Villalba J. Trmal Najim Dehak Sanjeev Khudanpur AAML 63 29 0 31 Mar 2021
Class-Aware Robust Adversarial Training for Object Detection Pin-Chun Chen Bo-Han Kung Jun-Cheng Chen AAML ObjD 132 49 0 30 Mar 2021
Enhancing the Transferability of Adversarial Attacks through Variance Tuning Xiaosen Wang Kun He AAML 114 400 0 29 Mar 2021
Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training Mohammad Azizmalayeri M. Rohban OOD 80 4 0 29 Mar 2021
On the benefits of robust models in modulation recognition Javier Maroto Gérôme Bovet P. Frossard AAML 59 4 0 27 Mar 2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection Zhijie Deng Xiao Yang Shizhen Xu Hang Su Jun Zhu BDL AAML 85 62 0 27 Mar 2021
Unsupervised Robust Domain Adaptation without Source Data Peshal Agarwal D. Paudel Jan-Nico Zaech Luc Van Gool OOD TTA 67 27 0 26 Mar 2021
Adversarial Attacks are Reversible with Natural Supervision Chengzhi Mao Mia Chiquer Hao Wang Junfeng Yang Carl Vondrick BDL AAML 105 56 0 26 Mar 2021
MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes Zhikai Chen Lingxi Xie Shanmin Pang Yong He Bo Zhang AAML 111 32 0 26 Mar 2021
Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond Brian Kim Y. Sagduyu T. Erpek S. Ulukus AAML 84 23 0 25 Mar 2021
THAT: Two Head Adversarial Training for Improving Robustness at Scale Zuxuan Wu Tom Goldstein L. Davis Ser-Nam Lim AAML GAN 44 1 0 25 Mar 2021
Vulnerability of Appearance-based Gaze Estimation Mingjie Xu Haofei Wang Yunfei Liu Feng Lu AAML 62 2 0 24 Mar 2021
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations Chaitanya K. Ryali D. Schwab Ari S. Morcos SSL 95 9 0 23 Mar 2021
RPATTACK: Refined Patch Attack on General Object Detectors Hao Huang Yongtao Wang Zhaoyu Chen Zhi Tang Wenqiang Zhang K. Ma ObjD AAML 58 32 0 23 Mar 2021
Adversarial Feature Augmentation and Normalization for Visual Recognition Tianlong Chen Yu Cheng Zhe Gan Jianfeng Wang Lijuan Wang Zhangyang Wang Jingjing Liu AAML ViT 71 19 0 22 Mar 2021
Fast Approximate Spectral Normalization for Robust Deep Neural Networks Zhixin Pan Prabhat Mishra AAML OOD 25 1 0 22 Mar 2021
BERT: A Review of Applications in Natural Language Processing and Understanding M. V. Koroteev VLM 134 225 0 22 Mar 2021
Grey-box Adversarial Attack And Defence For Sentiment Classification Ying Xu Xu Zhong Antonio Jimeno Yepes Jey Han Lau VLM AAML 70 54 0 22 Mar 2021
ExAD: An Ensemble Approach for Explanation-based Adversarial Detection R. Vardhan Ninghao Liu Phakpoom Chinprutthiwong Weijie Fu Zhen Hu Helen Zhou G. Gu AAML 120 4 0 22 Mar 2021
Natural Perturbed Training for General Robustness of Neural Network Classifiers Sadaf Gulshad A. Smeulders OOD AAML 34 2 0 21 Mar 2021
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack Ashkan Esmaeili Marzieh Edraki Nazanin Rahnavard M. Shah Ajmal Mian AAML 97 2 0 19 Mar 2021
SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems Yuxuan Chen Jiangshan Zhang Xuejing Yuan Shengzhi Zhang Kai Chen Wenyuan Xu Shanqing Guo AAML 78 17 0 19 Mar 2021
Boosting Adversarial Transferability through Enhanced Momentum Xiaosen Wang Jiadong Lin Han Hu Jingdong Wang Kun He AAML 119 77 0 19 Mar 2021
Robust Vision-Based Cheat Detection in Competitive Gaming Aditya Jonnalagadda I. Frosio Seth Schneider M. McGuire Joohwan Kim AAML 44 16 0 18 Mar 2021
Bio-inspired Robustness: A Review Harshitha Machiraju Oh-hyeon Choung P. Frossard Michael H. Herzog AAML 67 1 0 16 Mar 2021
Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches Nan Ji YanFei Feng Haidong Xie Xueshuang Xiang Naijin Liu AAML 100 34 0 16 Mar 2021
Constant Random Perturbations Provide Adversarial Robustness with Minimal Effect on Accuracy Bronya R. Chernyak Bhiksha Raj Tamir Hazan Joseph Keshet AAML 65 1 0 15 Mar 2021
Cloth Manipulation Planning on Basis of Mesh Representations with Incomplete Domain Knowledge and Voxel-to-Mesh Estimation S. Arnold Daisuke Tanaka Kimitoshi Yamazaki 53 5 0 15 Mar 2021
Attack as Defense: Characterizing Adversarial Examples using Robustness Zhe Zhao Guangke Chen Jingyi Wang Yiwei Yang Fu Song Jun Sun AAML 114 31 0 13 Mar 2021
Learning Defense Transformers for Counterattacking Adversarial Examples Jincheng Li Jingyun Liang Yifan Zhang Jian Chen Mingkui Tan AAML 67 3 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 Eric Wang Meng Zhou Jie Shi Quanshi Zhang AAML 136 23 0 12 Mar 2021
Quantitative robustness of instance ranking problems Tino Werner 52 2 0 12 Mar 2021
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink Ranjie Duan Xiaofeng Mao •. A. K. Qin Yun Yang YueFeng Chen Shaokai Ye Yuan He AAML 62 143 0 11 Mar 2021
DAFAR: Defending against Adversaries by Feedback-Autoencoder Reconstruction Haowen Liu Ping Yi Hsiao-Ying Lin Jie Shi Weidong Qiu AAML 36 2 0 11 Mar 2021
Multi-Task Federated Reinforcement Learning with Adversaries Aqeel Anwar A. Raychowdhury AAML FedML 63 21 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 100 131 0 11 Mar 2021
Learning-Based Vulnerability Analysis of Cyber-Physical Systems Amir Khazraei S. Hallyburton Qitong Gao Yu Wang Miroslav Pajic AAML 126 18 0 10 Mar 2021
Revisiting Model's Uncertainty and Confidences for Adversarial Example Detection Ahmed Aldahdooh W. Hamidouche Olivier Déforges AAML 155 29 0 09 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 73 40 0 09 Mar 2021
Practical Relative Order Attack in Deep Ranking Mo Zhou Le Wang Zhenxing Niu Qilin Zhang Yinghui Xu N. Zheng G. Hua 146 18 0 09 Mar 2021
Consistency Regularization for Adversarial Robustness Jihoon Tack Sihyun Yu Jongheon Jeong Minseon Kim Sung Ju Hwang Jinwoo Shin AAML 111 61 0 08 Mar 2021
Improving Global Adversarial Robustness Generalization With Adversarially Trained GAN Desheng Wang Wei-dong Jin Yunpu Wu Aamir Khan GAN 53 8 0 08 Mar 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges Yoshitomo Matsubara Marco Levorato Francesco Restuccia 131 215 0 08 Mar 2021
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain P. Harder Franz-Josef Pfreundt Margret Keuper J. Keuper AAML 100 50 0 04 Mar 2021
QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval Xiaodan Li Jinfeng Li YueFeng Chen Shaokai Ye Yuan He Shuhui Wang Hang Su Hui Xue 75 45 0 04 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 121 276 0 02 Mar 2021