Camouflage Backdoor Attack against Pedestrian Detection

Camouflage Backdoor Attack against Pedestrian Detection

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...

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Bibliographic Details
Main Authors: Yalun Wu, Yanfeng Gu, Yuanwan Chen, Xiaoshu Cui, Qiong Li, Yingxiao Xiang, Endong Tong, Jianhua Li, Zhen Han, Jiqiang Liu
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Applied Sciences
Subjects:
autonomous driving
pedestrian detection
backdoor attacks
image scaling
Online Access:https://www.mdpi.com/2076-3417/13/23/12752

Internet

https://www.mdpi.com/2076-3417/13/23/12752

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