An enhanced backdoor attack using a backdoor trigger position searching algorithm for avoiding deep learning-based object detection systems

Abstract Deep learning (DL)-based object detection is a core technology that is widely applied in various industrial fields, including surveillance, autonomous driving, and others. However, it is well-known that DL-based systems are vulnerable to adversarial attacks. In particular, backdoor attacks...

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Detalhes bibliográficos

Principais autores:	Sinho Jo, Youngho Cho
Formato:	Artigo
Idioma:	Inglês
Publicado em:	SpringerOpen 2026-02-01
Colecção:	Cybersecurity
Assuntos:	Deep learning Object detection Adversarial attack Backdoor attack Backdoor trigger
Acesso em linha:	https://doi.org/10.1186/s42400-025-00477-z
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