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Shuangju Zhou

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Articles

Infrared Adversarial Patch Generation Based on Reinforcement Learning

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By Wenyi Tan, Xin Zhou, Shuangju Zhou, Chenxing Zhao
| MDPI
1. Introduction Infrared imaging offers significant advantages in certain specialized scenarios, making infrared object detection security essential. Adversarial attacks affect the output of the model by adding perturbations or adversarial patches to the image, which may cause security problems. Scholars are actively involved in investigating adversarial attacks against infrared systems. For example, Zhu et al.
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