Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 2,473 papers shown

Title
Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches Nan Ji YanFei Feng Haidong Xie Xueshuang Xiang Naijin Liu AAML 58 33 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 18 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 22 4 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 33 31 0 13 Mar 2021
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
Quantitative robustness of instance ranking problems Tino Werner 19 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 24 138 0 11 Mar 2021
DAFAR: Defending against Adversaries by Feedback-Autoencoder Reconstruction Haowen Liu Ping Yi Hsiao-Ying Lin Jie Shi Weidong Qiu AAML 13 2 0 11 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
Learning-Based Vulnerability Analysis of Cyber-Physical Systems Amir Khazraei S. Hallyburton Qitong Gao Yu Wang Miroslav Pajic AAML 16 17 0 10 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
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 34 39 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 21 18 0 09 Mar 2021
Consistency Regularization for Adversarial Robustness Jihoon Tack Sihyun Yu Jongheon Jeong Minseon Kim Sung Ju Hwang Jinwoo Shin AAML 41 57 0 08 Mar 2021
Improving Global Adversarial Robustness Generalization With Adversarially Trained GAN Desheng Wang Wei-dong Jin Yunpu Wu Aamir Khan GAN 36 8 0 08 Mar 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges Yoshitomo Matsubara Marco Levorato Francesco Restuccia 33 199 0 08 Mar 2021
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain P. Harder Franz-Josef Pfreundt M. Keuper J. Keuper AAML 27 48 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 19 44 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 36 269 0 02 Mar 2021
Mind the box: $l_1$ -APGD for sparse adversarial attacks on image classifiers Francesco Croce Matthias Hein AAML 47 54 0 01 Mar 2021
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World Jiakai Wang Aishan Liu Zixin Yin Shunchang Liu Shiyu Tang Xianglong Liu AAML 146 195 0 01 Mar 2021
Effective Universal Unrestricted Adversarial Attacks using a MOE Approach Alina Elena Baia G. D. Bari V. Poggioni AAML 23 8 0 27 Feb 2021
Distribution-Aware Testing of Neural Networks Using Generative Models Swaroopa Dola Matthew B. Dwyer M. Soffa 32 52 0 26 Feb 2021
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks Huichen Li Linyi Li Xiaojun Xu Xiaolu Zhang Shuang Yang Bo-wen Li AAML 28 17 0 25 Feb 2021
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints Maura Pintor Fabio Roli Wieland Brendel Battista Biggio AAML 51 70 0 25 Feb 2021
Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks Ginevra Carbone G. Sanguinetti Luca Bortolussi FAtt AAML 21 4 0 22 Feb 2021
Effective and Efficient Vote Attack on Capsule Networks Jindong Gu Baoyuan Wu Volker Tresp AAML 17 26 0 19 Feb 2021
Random Projections for Improved Adversarial Robustness Ginevra Carbone G. Sanguinetti Luca Bortolussi AAML 27 2 0 18 Feb 2021
Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids Jiangnan Li Yingyuan Yang Jinyuan Stella Sun K. Tomsovic Hairong Qi AAML 39 14 0 17 Feb 2021
Domain Impression: A Source Data Free Domain Adaptation Method V. Kurmi Venkatesh Subramanian Vinay P. Namboodiri TTA 151 150 0 17 Feb 2021
CheXternal: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays and External Clinical Settings Pranav Rajpurkar Anirudh Joshi Anuj Pareek A. Ng M. Lungren OOD 59 14 0 17 Feb 2021
Just Noticeable Difference for Machine Perception and Generation of Regularized Adversarial Images with Minimal Perturbation Adil Kaan Akan Emre Akbas Fatoş T. Yarman Vural AAML 11 3 0 16 Feb 2021
Universal Adversarial Examples and Perturbations for Quantum Classifiers Weiyuan Gong D. Deng AAML 32 23 0 15 Feb 2021
And/or trade-off in artificial neurons: impact on adversarial robustness A. Fontana AAML 30 0 0 15 Feb 2021
Generating Structured Adversarial Attacks Using Frank-Wolfe Method Ehsan Kazemi Thomas Kerdreux Liquang Wang AAML DiffM 13 1 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 34 132 0 14 Feb 2021
Multi-Objective Meta Learning Feiyang Ye Baijiong Lin Zhixiong Yue Pengxin Guo Qiao Xiao Yu Zhang 49 47 0 14 Feb 2021
Mixed Nash Equilibria in the Adversarial Examples Game Laurent Meunier M. Scetbon Rafael Pinot Jamal Atif Y. Chevaleyre AAML 23 29 0 13 Feb 2021
RoBIC: A benchmark suite for assessing classifiers robustness Thibault Maho Benoît Bonnet Teddy Furon Erwan Le Merrer AAML 27 4 0 10 Feb 2021
Enhancing Real-World Adversarial Patches through 3D Modeling of Complex Target Scenes Yael Mathov Lior Rokach Yuval Elovici 21 5 0 10 Feb 2021
Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 26 13 0 09 Feb 2021
"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models Sahar Abdelnabi Mario Fritz AAML 27 7 0 09 Feb 2021
Security and Privacy for Artificial Intelligence: Opportunities and Challenges Ayodeji Oseni Nour Moustafa Helge Janicke Peng Liu Z. Tari A. Vasilakos AAML 34 48 0 09 Feb 2021
A Real-time Defense against Website Fingerprinting Attacks Shawn Shan A. Bhagoji Haitao Zheng Ben Y. Zhao AAML 14 19 0 08 Feb 2021
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples Ömer Faruk Tuna Ferhat Ozgur Catak M. T. Eskil AAML 19 32 0 08 Feb 2021
Adversarial Imaging Pipelines Buu Phan Fahim Mannan Felix Heide AAML 14 26 0 07 Feb 2021
Adversarial example generation with AdaBelief Optimizer and Crop Invariance Bo Yang Hengwei Zhang Yuchen Zhang Kaiyong Xu Jin-dong Wang AAML 25 29 0 07 Feb 2021
HGAN: Hybrid Generative Adversarial Network Seyed Mehdi Iranmanesh Nasser M. Nasrabadi GAN 19 4 0 07 Feb 2021