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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
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings Yuhao Mao Chong Fu Sai-gang Wang S. Ji Xuhong Zhang Zhenguang Liu Junfeng Zhou A. Liu R. Beyah Ting Wang AAML 105 19 0 07 Apr 2022
Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks Xuechun Han Anmin Liu Yifeng Xiong Yanbo Fan Kun He AAML 79 5 0 06 Apr 2022
Adversarially robust segmentation models learn perceptually-aligned gradients Pedro Sandoval-Segura 29 0 0 03 Apr 2022
DST: Dynamic Substitute Training for Data-free Black-box Attack Wenxuan Wang Xuelin Qian Yanwei Fu Xiangyang Xue OOD AAML 56 18 0 03 Apr 2022
Adversarial Neon Beam: A Light-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Wen Li AAML 95 9 0 02 Apr 2022
Scalable Whitebox Attacks on Tree-based Models Giuseppe Castiglione G. Ding Masoud Hashemi C. Srinivasa Ga Wu AAML 28 1 0 31 Mar 2022
Improving Adversarial Transferability via Neuron Attribution-Based Attacks Jianping Zhang Weibin Wu Jen-tse Huang Yizhan Huang Wenxuan Wang Yuxin Su Michael R. Lyu AAML 100 136 0 31 Mar 2022
Investigating Top- $k$ White-Box and Transferable Black-box Attack Chaoning Zhang Philipp Benz Adil Karjauv Jae-Won Cho Kang Zhang In So Kweon 87 44 0 30 Mar 2022
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models Simin Chen Zihe Song Mirazul Haque Cong Liu Wei Yang 72 42 0 29 Mar 2022
Boosting Black-Box Adversarial Attacks with Meta Learning Junjie Fu Jian Sun Chongqing AAML 34 4 0 28 Mar 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 128 73 0 26 Mar 2022
Enhancing Transferability of Adversarial Examples with Spatial Momentum Guoqiu Wang Huanqian Yan Xingxing Wei AAML 74 9 0 25 Mar 2022
A Comparative Survey of Deep Active Learning Xueying Zhan Qingzhong Wang Kuan-Hao Huang Haoyi Xiong Dejing Dou Antoni B. Chan FedML HAI 138 113 0 25 Mar 2022
Trojan Horse Training for Breaking Defenses against Backdoor Attacks in Deep Learning Arezoo Rajabi Bhaskar Ramasubramanian Radha Poovendran AAML 114 5 0 25 Mar 2022
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks Xiaofei Xie Tianlin Li Jian-Xun Wang Lei Ma Qing Guo Felix Juefei Xu Yang Liu AAML 87 55 0 24 Mar 2022
Enhancing Classifier Conservativeness and Robustness by Polynomiality Ziqi Wang Marco Loog AAML 46 3 0 23 Mar 2022
Powerful Physical Adversarial Examples Against Practical Face Recognition Systems Inderjeet Singh Toshinori Araki Kazuya Kakizaki AAML 98 13 0 23 Mar 2022
Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack Chi Liu Huajie Chen Tianqing Zhu Jun Zhang Wanlei Zhou AAML 69 24 0 22 Mar 2022
Efficient Neural Network Analysis with Sum-of-Infeasibilities Haoze Wu Aleksandar Zeljić Guy Katz Clark W. Barrett AAML 101 31 0 19 Mar 2022
Adversarial Defense via Image Denoising with Chaotic Encryption Shi Hu Eric T. Nalisnick Max Welling 49 2 0 19 Mar 2022
RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression Jung-Woo Chang Mojan Javaheripi Seira Hidano F. Koushanfar 91 8 0 18 Mar 2022
Leveraging Adversarial Examples to Quantify Membership Information Leakage Ganesh Del Grosso Hamid Jalalzai Georg Pichler C. Palamidessi Pablo Piantanida MIACV 77 23 0 17 Mar 2022
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input Junyoung Byun Seungju Cho Myung-Joon Kwon Heeseon Kim Changick Kim AAML DiffM 63 70 0 17 Mar 2022
On the Convergence of Certified Robust Training with Interval Bound Propagation Yihan Wang Zhouxing Shi Quanquan Gu Cho-Jui Hsieh 62 9 0 16 Mar 2022
RES-HD: Resilient Intelligent Fault Diagnosis Against Adversarial Attacks Using Hyper-Dimensional Computing Onat Gungor Tajana Simunic Baris Aksanli AAML 24 9 0 14 Mar 2022
Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training Jiahao Shao Shijia Geng Zhaoji Fu Wei-Zhao Xu Tong Liu linda Qiao AAML 50 4 0 14 Mar 2022
Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It Dayong Ye Huiqiang Chen Shuai Zhou Tianqing Zhu Wanlei Zhou S. Ji MIACV 83 6 0 13 Mar 2022
Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior Yinpeng Dong Shuyu Cheng Tianyu Pang Hang Su Jun Zhu AAML 62 60 0 13 Mar 2022
Enhancing Adversarial Training with Second-Order Statistics of Weights Gao Jin Xinping Yi Wei Huang S. Schewe Xiaowei Huang AAML 89 48 0 11 Mar 2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack Ye Liu Yaya Cheng Lianli Gao Xianglong Liu Qilong Zhang Jingkuan Song AAML 109 61 0 10 Mar 2022
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity Cheng Luo Qinliang Lin Weicheng Xie Bizhu Wu Jinheng Xie Linlin Shen AAML 123 105 0 10 Mar 2022
Defending Black-box Skeleton-based Human Activity Classifiers He Wang Yunfeng Diao Zichang Tan G. Guo AAML 133 10 0 09 Mar 2022
Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition Xiaohu Yang Yinpeng Dong Tianyu Pang Zihao Xiao Hang Su Junyi Zhu CVBM AAML 94 11 0 09 Mar 2022
Machine Learning in NextG Networks via Generative Adversarial Networks E. Ayanoglu Kemal Davaslioglu Y. Sagduyu GAN 67 34 0 09 Mar 2022
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon Yiqi Zhong Xianming Liu Deming Zhai Junjun Jiang Xiangyang Ji AAML 153 152 0 08 Mar 2022
Adversarial Texture for Fooling Person Detectors in the Physical World Zhan Hu Siyuan Huang Xiaopei Zhu Gang Hua Bo Zhang Xiaolin Hu AAML 77 109 0 07 Mar 2022
Art-Attack: Black-Box Adversarial Attack via Evolutionary Art P. Williams Ke Li AAML 59 2 0 07 Mar 2022
Fidelity of Interpretability Methods and Perturbation Artifacts in Neural Networks L. Brocki N. C. Chung AAML 58 4 0 06 Mar 2022
Adversarial Patterns: Building Robust Android Malware Classifiers Dipkamal Bhusal Nidhi Rastogi AAML 109 1 0 04 Mar 2022
Ensemble Methods for Robust Support Vector Machines using Integer Programming Jannis Kurtz 21 1 0 03 Mar 2022
Enhancing Adversarial Robustness for Deep Metric Learning Mo Zhou Vishal M. Patel AAML 107 18 0 02 Mar 2022
Detecting Adversarial Perturbations in Multi-Task Perception Marvin Klingner V. Kumar S. Yogamani Andreas Bär Tim Fingscheidt AAML 74 15 0 02 Mar 2022
Towards Robust Stacked Capsule Autoencoder with Hybrid Adversarial Training Jiazhu Dai Siwei Xiong AAML 48 2 0 28 Feb 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses Francesco Croce Sven Gowal T. Brunner Evan Shelhamer Matthias Hein A. Cemgil TTA AAML 237 70 0 28 Feb 2022
Did AI get more negative recently? Dominik Beese Begüm Altunbaş Görkem Güzeler Steffen Eger AILaw 72 4 0 28 Feb 2022
Adversarial robustness of sparse local Lipschitz predictors Ramchandran Muthukumar Jeremias Sulam AAML 92 13 0 26 Feb 2022
Attacks and Faults Injection in Self-Driving Agents on the Carla Simulator -- Experience Report Niccolò Piazzesi Massimo Hong Andrea Ceccarelli AAML 46 5 0 25 Feb 2022
ARIA: Adversarially Robust Image Attribution for Content Provenance Maksym Andriushchenko Xiaochen Li Geoffrey Oxholm Thomas Gittings Tu Bui Nicolas Flammarion John Collomosse AAML 44 3 0 25 Feb 2022
Universal adversarial perturbation for remote sensing images Qingyu Wang Jin Tang Z. Yin Bin Luo AAML 64 5 0 22 Feb 2022
A Tutorial on Adversarial Learning Attacks and Countermeasures Cato Pauling Michael Gimson Muhammed Qaid Ahmad Kida Basel Halak AAML 90 11 0 21 Feb 2022