Boosting 3D Adversarial Attacks With Attacking on Frequency

Deep neural networks (DNNs) have been shown to be vulnerable to adversarial attacks in the image domain. Recently, 3D adversarial attacks, especially adversarial attacks on point clouds, have elicited mounting interest. However, adversarial point clouds obtained by previous methods show weak transfe...

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Detaylı Bibliyografya
Asıl Yazarlar: Binbin Liu, Jinlai Zhang, Jihong Zhu
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: IEEE 2022-01-01
Seri Bilgileri:IEEE Access
Konular:
3D adversarial attack
neural networks
point clouds
transferability
frequency
Online Erişim:https://ieeexplore.ieee.org/document/9765977/
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