D-BADGE: Decision-Based Adversarial Batch Attack With Directional Gradient Estimation

The susceptibility of deep neural networks (DNNs) to adversarial examples has prompted an increase in the deployment of adversarial attacks. Image-agnostic universal adversarial perturbations (UAPs) are much more threatening, but many limitations exist to implementing UAPs in real-world scenarios wh...

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Bibliografiske detaljer

Principais autores:	Geunhyeok Yu, Minwoo Jeon, Hyoseok Hwang
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2024-01-01
Serier:	IEEE Access
Fag:	Deep neural networks universal decision-based adversarial attack image classification representation learning vulnerability zeroth-order optimization
Online adgang:	https://ieeexplore.ieee.org/document/10542123/
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