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Multi-Scale Defense of Adversarial Images
2019 IEEE International Conference on Image Processing (ICIP), 2019Deep learning has achieved great success in image classification. However, recent researches show that existing deep learning-based classifiers remain weak for recognizing adversarial images. In this paper, an effective multi-scale defense method is proposed to solve the problem.
Jiahuan Ji, Baojiang Zhong, Kai-Kuang Ma
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Adversarial Defense in Aerial Detection
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023Yuwei Chen, Shiyong Chu
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Adversarial anchor-guided feature refinement for adversarial defense
Image and Vision Computing, 2023Hakmin Lee, Yong Man Ro
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A Survey of Adversarial Attack and Defense Methods for Malware Classification in Cyber Security
IEEE Communications Surveys and Tutorials, 2023, , Quan Yu
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Learning defense transformations for counterattacking adversarial examples
Neural Networks, 2023Mingkui Tan, Jiezhang Cao
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Adversarial attack and defense technologies in natural language processing: A survey
Neurocomputing, 2022Shijie Zhou, Wen Huang, Shilin Qiu
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Adversarial Attack and Defense: A Survey
Electronics (Switzerland), 2022Erlu He, Yangyang Zhao
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Attack-less adversarial training for a robust adversarial defense
Applied Intelligence, 2021Jiacang Ho, Byung-Gook Lee, Dae-Ki Kang
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Adversarial Perturbation Defense on Deep Neural Networks
ACM Computing Surveys, 2022Xiaolong Zheng +2 more
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