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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Autori principali: Binbin Liu, Jinlai Zhang, Jihong Zhu
Natura: Artigo
Lingua:Inglês
Pubblicazione: IEEE 2022-01-01
Serie:IEEE Access
Soggetti:
3D adversarial attack
neural networks
point clouds
transferability
frequency
Accesso online:https://ieeexplore.ieee.org/document/9765977/
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