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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
Adversarial Attacks and Mitigation for Anomaly Detectors of Cyber-Physical Systems Yifan Jia Jingyi Wang Christopher M. Poskitt Sudipta Chattopadhyay Jun Sun Yuqi Chen AAML 75 29 0 22 May 2021
Adversarially robust change point detection Mengchu Li Yi Yu AAML 62 10 0 21 May 2021
Local Aggressive Adversarial Attacks on 3D Point Cloud Yiming Sun F. Chen Zhiyu Chen Mingjie Wang 3DPC AAML 61 16 0 19 May 2021
Adversarial Examples Detection with Bayesian Neural Network Yao Li Tongyi Tang Cho-Jui Hsieh T. C. Lee GAN AAML 69 3 0 18 May 2021
On the Robustness of Domain Constraints Ryan Sheatsley Blaine Hoak Eric Pauley Yohan Beugin Mike Weisman Patrick McDaniel AAML OOD 88 26 0 18 May 2021
High-Robustness, Low-Transferability Fingerprinting of Neural Networks Siyue Wang Xiao Wang Pin-Yu Chen Pu Zhao Xue Lin AAML 69 2 0 14 May 2021
Salient Feature Extractor for Adversarial Defense on Deep Neural Networks Jinyin Chen Ruoxi Chen Haibin Zheng Zhaoyan Ming Wenrong Jiang Chen Cui AAML 44 11 0 14 May 2021
AVA: Adversarial Vignetting Attack against Visual Recognition Binyu Tian Felix Juefei Xu Qing Guo Xiaofei Xie Xiaohong Li Yang Liu AAML 73 33 0 12 May 2021
Improving Adversarial Transferability with Gradient Refining Guoqiu Wang Huanqian Yan Yingjie Guo Xingxing Wei AAML 60 8 0 11 May 2021
Adversarial examples attack based on random warm restart mechanism and improved Nesterov momentum Tian-zhou Li AAML 35 1 0 10 May 2021
Learning Image Attacks toward Vision Guided Autonomous Vehicles Hyung-Jin Yoon H. Jafarnejadsani P. Voulgaris AAML 34 3 0 09 May 2021
Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks Charles Jin Melinda Sun Martin Rinard AAML 16 6 0 08 May 2021
Chameleon: A Semi-AutoML framework targeting quick and scalable development and deployment of production-ready ML systems for SMEs Johannes Otterbach Thomas Wollmann 37 1 0 08 May 2021
The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems Dominik Dellermann A. Calma Nikolaus Lipusch Thorsten Weber Sascha Weigel P. Ebel HAI 81 186 0 07 May 2021
Understanding Catastrophic Overfitting in Adversarial Training Peilin Kang Seyed-Mohsen Moosavi-Dezfooli AAML 63 16 0 06 May 2021
Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model Ruoxi Qin Linyuan Wang Xing-yuan Chen Xuehui Du Bin Yan AAML 64 5 0 06 May 2021
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking Zhenbang Li Yaya Shi Jin Gao Shaoru Wang Bing Li Pengpeng Liang Weiming Hu AAML 93 27 0 06 May 2021
Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks Faiq Khalid Muhammad Abdullah Hanif Mohamed Bennai AAML SILM 76 9 0 05 May 2021
Physical world assistive signals for deep neural network classifiers -- neither defense nor attack Camilo Pestana Wei Liu D. Glance R. Owens Ajmal Mian AAML 21 0 0 03 May 2021
A survey on VQA_Datasets and Approaches Yeyun Zou Qiyu Xie 81 18 0 02 May 2021
Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments Lifeng Zhou Pratap Tokekar 107 44 0 02 May 2021
A Perceptual Distortion Reduction Framework: Towards Generating Adversarial Examples with High Perceptual Quality and Attack Success Rate Ruijie Yang Yunhong Wang Ruikui Wang Yuanfang Guo AAML DiffM 38 1 0 01 May 2021
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison Ahmed Aldahdooh W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 239 128 0 01 May 2021
Black-box adversarial attacks using Evolution Strategies Hao Qiu Leonardo Lucio Custode Giovanni Iacca AAML 78 18 0 30 Apr 2021
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathological Image Detection Hao Chen Chen Li Ge Wang Xirong Li M. Rahaman ... Yixin Li Wanli Liu Changhao Sun Shiliang Ai M. Grzegorzek ViT MedIm 102 193 0 29 Apr 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 130 58 0 29 Apr 2021
AdvHaze: Adversarial Haze Attack Ruijun Gao Qing Guo Felix Juefei Xu Hongkai Yu Wei Feng AAML 100 30 0 28 Apr 2021
Delving into Data: Effectively Substitute Training for Black-box Attack Wenxuan Wang Bangjie Yin Taiping Yao Li Zhang Yanwei Fu Shouhong Ding Jilin Li Feiyue Huang Xiangyang Xue AAML 110 65 0 26 Apr 2021
3D Adversarial Attacks Beyond Point Cloud Jinlai Zhang Lyujie Chen Binbin Liu Bojun Ouyang Qizhi Xie Jihong Zhu Weiming Li Yanmei Meng 3DPC 79 41 0 25 Apr 2021
Making Generated Images Hard To Spot: A Transferable Attack On Synthetic Image Detectors Xinwei Zhao Matthew C. Stamm AAML 103 4 0 25 Apr 2021
Random Noise Defense Against Query-Based Black-Box Attacks Zeyu Qin Yanbo Fan H. Zha Baoyuan Wu AAML 137 60 0 23 Apr 2021
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions Jing Wu Mingyi Zhou Ce Zhu Yipeng Liu Mehrtash Harandi Li Li AAML 107 11 0 22 Apr 2021
MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis Yijun Yang Ruiyuan Gao Yu Li Qiuxia Lai Qiang Xu AAML 39 1 0 20 Apr 2021
Adversarial Training for Deep Learning-based Intrusion Detection Systems Islam Debicha Thibault Debatty Jean-Michel Dricot Wim Mees AAML 31 19 0 20 Apr 2021
Does enhanced shape bias improve neural network robustness to common corruptions? Chaithanya Kumar Mummadi Ranjitha Subramaniam Robin Hutmacher Julien Vitay Volker Fischer J. H. Metzen 107 40 0 20 Apr 2021
Staircase Sign Method for Boosting Adversarial Attacks Qilong Zhang Xiaosu Zhu Jingkuan Song Lianli Gao Heng Tao Shen AAML 94 13 0 20 Apr 2021
LAFEAT: Piercing Through Adversarial Defenses with Latent Features Yunrui Yu Xitong Gao Chengzhong Xu AAML FedML 91 46 0 19 Apr 2021
Direction-Aggregated Attack for Transferable Adversarial Examples Tianjin Huang Vlado Menkovski Yulong Pei Yuhao Wang Mykola Pechenizkiy AAML 78 15 0 19 Apr 2021
UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection Andrei Paraschiv Dumitru-Clementin Cercel M. Dascalu 63 1 0 17 Apr 2021
Fashion-Guided Adversarial Attack on Person Segmentation Marc Treu Trung-Nghia Le H. Nguyen Junichi Yamagishi Isao Echizen AAML 61 13 0 17 Apr 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 68 18 0 16 Apr 2021
Towards Variable-Length Textual Adversarial Attacks Junliang Guo Zhirui Zhang Linlin Zhang Linli Xu Boxing Chen Enhong Chen Weihua Luo AAML 145 6 0 16 Apr 2021
Adversarial Sticker: A Stealthy Attack Method in the Physical World Xingxing Wei Yingjie Guo Jie Yu AAML 85 124 0 14 Apr 2021
Thief, Beware of What Get You There: Towards Understanding Model Extraction Attack Xinyi Zhang Chengfang Fang Jie Shi MIACV MLAU SILM 98 16 0 13 Apr 2021
Instagram Filter Removal on Fashionable Images Furkan Kinli B. Özcan Mustafa Furkan Kıraç 128 11 0 11 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 105 67 0 09 Apr 2021
Beyond Categorical Label Representations for Image Classification Boyuan Chen Yu Li Sunand Raghupathi Hod Lipson SSL 76 2 0 06 Apr 2021
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification S. Silva Arun Das I. Scarff Peyman Najafirad AAML 54 1 0 05 Apr 2021
Reliably fast adversarial training via latent adversarial perturbation Geon Yeong Park Sang Wan Lee AAML 73 28 0 04 Apr 2021
Defending Against Image Corruptions Through Adversarial Augmentations D. A. Calian Florian Stimberg Olivia Wiles Sylvestre-Alvise Rebuffi András Gyorgy Timothy A. Mann Sven Gowal AAML 84 41 0 02 Apr 2021