Generating universal adversarial perturbation with ResNet

Jian Xu; Heng Liu; Dexin Wu; Fucai Zhou; Chong-zhi Gao; Linzhi Jiang

doi:10.1016/j.ins.2020.05.099

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JOURNAL ARTICLE

Generating universal adversarial perturbation with ResNet

Jian Xu Heng Liu Dexin Wu Fucai Zhou Chong-zhi Gao Linzhi Jiang

Year: 2020 Journal: Information Sciences Vol: 537 Pages: 302-312 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2020.05.099

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Keywords:

Adversarial system Computer science Perturbation (astronomy) Residual Transferability Artificial intelligence Artificial neural network Machine learning Deep neural networks Theoretical computer science Algorithm

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Adversarial Robustness in Machine Learning

Physical Sciences → Computer Science → Artificial Intelligence

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Generating universal adversarial perturbation with ResNet

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