2023
DOI: 10.3390/app132312752
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Camouflage Backdoor Attack against Pedestrian Detection

Yalun Wu,
Yanfeng Gu,
Yuanwan Chen
et al.

Abstract: Pedestrian detection models in autonomous driving systems heavily rely on deep neural networks (DNNs) to perceive their surroundings. Recent research has unveiled the vulnerability of DNNs to backdoor attacks, in which malicious actors manipulate the system by embedding specific triggers within the training data. In this paper, we propose a tailored camouflaged backdoor attack method designed for pedestrian detection in autonomous driving systems. Our approach begins with the construction of a set of trigger-e… Show more

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Cited by 3 publications
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