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Spatially Transformed Adversarial Examples

8 January 2018

Jun-Yan Zhu

Papers citing "Spatially Transformed Adversarial Examples"

50 / 218 papers shown

Title
Improving Adversarial Robustness via Phase and Amplitude-aware Prompting Yibo Xu Dawei Zhou Decheng Liu N. Wang AAML 92 0 0 06 Feb 2025
A Survey of Neural Network Robustness Assessment in Image Recognition Jie Wang Jun Ai Minyan Lu Haoran Su Dan Yu Yutao Zhang Junda Zhu Jingyu Liu AAML 120 3 0 12 Apr 2024
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario Renyang Liu Kwok-Yan Lam Wei Zhou Sixing Wu Jun Zhao Dongting Hu Mingming Gong AAML 104 0 0 30 Mar 2024
On the Duality Between Sharpness-Aware Minimization and Adversarial Training Yihao Zhang Hangzhou He Jingyu Zhu Huanran Chen Yifei Wang Zeming Wei AAML 127 15 0 23 Feb 2024
Instruct2Attack: Language-Guided Semantic Adversarial Attacks Jiang-Long Liu Chen Wei Yuxiang Guo Heng Yu Alan Yuille Soheil Feizi Chun Pong Lau Rama Chellappa DiffM AAML 98 7 0 27 Nov 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization Minxing Zhang Michael Backes Xiao Zhang AAML 159 1 0 06 Oct 2023
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples Shaokui Wei Ruotong Wang H. Zha Baoyuan Wu TPM 91 38 0 20 Jul 2023
Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems Eldor Abdukhamidov Mohammed Abuhamad Simon S. Woo Eric Chan-Tin Tamer Abuhmed AAML 52 1 0 13 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 118 9 0 01 Jul 2023
I See Dead People: Gray-Box Adversarial Attack on Image-To-Text Models Raz Lapid Moshe Sipper AAML 110 17 0 13 Jun 2023
Attacking Perceptual Similarity Metrics Abhijay Ghildyal Feng Liu AAML 97 10 0 15 May 2023
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks Sihui Dai Saeed Mahloujifar Chong Xiang Vikash Sehwag Pin-Yu Chen Prateek Mittal AAML OOD 114 7 0 21 Feb 2023
Towards Verifying the Geometric Robustness of Large-scale Neural Networks Fu Lee Wang Peipei Xu Wenjie Ruan Xiaowei Huang AAML 151 10 0 29 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 102 2 0 03 Jan 2023
EDoG: Adversarial Edge Detection For Graph Neural Networks Xiaojun Xu Yue Yu Hanzhang Wang Alok Lal C.A. Gunter Bo Li AAML 142 11 0 27 Dec 2022
Aliasing is a Driver of Adversarial Attacks Adrian Rodriguez-Munoz Antonio Torralba AAML 64 0 0 22 Dec 2022
Addressing Mistake Severity in Neural Networks with Semantic Knowledge Natalie Abreu Nathan Vaska Victoria Helus AAML OOD 75 3 0 21 Nov 2022
Assessing Neural Network Robustness via Adversarial Pivotal Tuning Peter Ebert Christensen Vésteinn Snaebjarnarson Andrea Dittadi Serge Belongie Sagie Benaim AAML 93 1 0 17 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks Zhengyu Zhao Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 107 20 0 17 Nov 2022
LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise He Tang Lin Wan He Wang 97 22 0 27 Oct 2022
$LOT: Layer-wise Orthogonal Training on Improving $\ell_2$ Certified Robustness$ LOT: Layer-wise Orthogonal Training on Improving $\ell_2$ Certified Robustness Xiaojun Xu Linyi Li Yue Liu OOD AAML 91 34 0 20 Oct 2022
Differential Evolution based Dual Adversarial Camouflage: Fooling Human Eyes and Object Detectors Jialiang Sun Tingsong Jiang Wen Yao Donghua Wang Xiaoqian Chen AAML 94 17 0 17 Oct 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints Yinpeng Dong Shouwei Ruan Hang Su Cai Kang Xingxing Wei Junyi Zhu AAML 85 50 0 08 Oct 2022
Towards Out-of-Distribution Adversarial Robustness Adam Ibrahim Charles Guille-Escuret Ioannis Mitliagkas Irina Rish David M. Krueger P. Bashivan OOD 51 6 0 06 Oct 2022
A Closer Look at Robustness to L-infinity and Spatial Perturbations and their Composition Luke Rowe Benjamin Thérien Krzysztof Czarnecki Hongyang R. Zhang OOD 58 0 0 05 Oct 2022
How deep convolutional neural networks lose spatial information with training Umberto M. Tomasini Leonardo Petrini Francesco Cagnetta Matthieu Wyart 71 10 0 04 Oct 2022
$Optimization for Robustness Evaluation beyond $\ell_p$ Metrics$ Optimization for Robustness Evaluation beyond $\ell_p$ Metrics Hengyue Liang Buyun Liang Ying Cui Tim Mitchell Ju Sun AAML 47 3 0 02 Oct 2022
Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks Abhishek Aich Shasha Li Chengyu Song M. Salman Asif S. Krishnamurthy Amit K. Roy-Chowdhury AAML 93 9 0 20 Sep 2022
GAMA: Generative Adversarial Multi-Object Scene Attacks Abhishek Aich Calvin-Khang Ta Akash Gupta Chengyu Song S. Krishnamurthy M. Salman Asif Amit K. Roy-Chowdhury AAML 108 20 0 20 Sep 2022
CARE: Certifiably Robust Learning with Reasoning via Variational Inference Jiawei Zhang Linyi Li Ce Zhang Yue Liu AAML OOD 122 8 0 12 Sep 2022
Unrestricted Adversarial Samples Based on Non-semantic Feature Clusters Substitution Ming-Kuai Zhou Xiaobing Pei AAML 47 0 0 31 Aug 2022
Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips Jiawang Bai Kuofeng Gao Dihong Gong Shutao Xia Zhifeng Li Wen Liu AAML 80 29 0 27 Jul 2022
Look Closer to Your Enemy: Learning to Attack via Teacher-Student Mimicking Mingejie Wang Jianxiong Guo Sirui Li Dingwen Xiao Zhiqing Tang AAML 85 0 0 27 Jul 2022
Verifying Attention Robustness of Deep Neural Networks against Semantic Perturbations S. Munakata Caterina Urban Haruki Yokoyama Koji Yamamoto Kazuki Munakata AAML 44 4 0 13 Jul 2022
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches Zhiyuan Cheng James Liang Hongjun Choi Guanhong Tao Zhiwen Cao Dongfang Liu Xiangyu Zhang AAML MDE 68 86 0 11 Jul 2022
Dynamic Time Warping based Adversarial Framework for Time-Series Domain Taha Belkhouja Yan Yan J. Doppa AAML AI4TS 82 26 0 09 Jul 2022
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features Taha Belkhouja J. Doppa AAML AI4TS 66 12 0 09 Jul 2022
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis Taha Belkhouja Yan Yan J. Doppa OOD AI4TS 77 9 0 09 Jul 2022
Removing Batch Normalization Boosts Adversarial Training Haotao Wang Aston Zhang Shuai Zheng Xingjian Shi Mu Li Zhangyang Wang 107 42 0 04 Jul 2022
Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member Models Lele Wang B. Liu UQCV 57 5 0 29 Jun 2022
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing Zhongkai Hao Chengyang Ying Yinpeng Dong Hang Su Jun Zhu Jian Song AAML 92 21 0 09 Jun 2022
Exposing Fine-Grained Adversarial Vulnerability of Face Anti-Spoofing Models Songlin Yang Wei Wang Chenye Xu Ziwen He Bo Peng Jing Dong AAML CVBM 67 4 0 30 May 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 278 456 0 16 May 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations Yifan Gong Yuguang Yao Yize Li Yimeng Zhang Xiaoming Liu Xinyu Lin Sijia Liu AAML 172 21 0 26 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
Attacking deep networks with surrogate-based adversarial black-box methods is easy Nicholas A. Lord Romain Mueller Luca Bertinetto AAML MLAU 141 25 0 16 Mar 2022
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization Sam Buchanan Jingkai Yan Ellie Haber John N. Wright 65 3 0 09 Mar 2022
Adversarially Robust Learning with Tolerance H. Ashtiani Vinayak Pathak Ruth Urner AAML 56 10 0 02 Mar 2022
Universal adversarial perturbation for remote sensing images Qingyu Wang Jin Tang Z. Yin Bin Luo AAML 64 5 0 22 Feb 2022
On the Effectiveness of Adversarial Training against Backdoor Attacks Yinghua Gao Dongxian Wu Jingfeng Zhang Guanhao Gan Shutao Xia Gang Niu Masashi Sugiyama AAML 85 23 0 22 Feb 2022