2023
DOI: 10.1049/cmu2.12714
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Physical adversarial attack in artificial intelligence of things

Xin Ma,
Kai Yang,
Chuanzhen Zhang
et al.

Abstract: With the continuous development of wireless communication and artificial intelligence technology, Internet of Things (IoT) technology has made great progress. Deep learning methods are currently used in IoT technology, but deep neural networks (DNNs) are notoriously susceptible to adversarial examples, and subtle pixel changes to images can result in incorrect recognition results from DNNs. In the real‐world application, the patches generated by the recent physical attack methods are larger or less realistic a… Show more

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