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Hide in Thicket: Generating Imperceptible and Rational Adversarial
  Perturbations on 3D Point Clouds

Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds

8 March 2024
Tianrui Lou
Xiaojun Jia
Jindong Gu
Li Liu
Siyuan Liang
Bangyan He
Xiaochun Cao
ArXivPDFHTML

Papers citing "Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds"

4 / 4 papers shown
Title
Effectiveness Assessment of Recent Large Vision-Language Models
Effectiveness Assessment of Recent Large Vision-Language Models
Yao Jiang
Xinyu Yan
Ge-Peng Ji
Keren Fu
Meijun Sun
Huan Xiong
Deng-Ping Fan
Fahad Shahbaz Khan
24
14
0
07 Mar 2024
Isometric 3D Adversarial Examples in the Physical World
Isometric 3D Adversarial Examples in the Physical World
Yibo Miao
Yinpeng Dong
Junyi Zhu
Xiao-Shan Gao
37
29
0
27 Oct 2022
ComDefend: An Efficient Image Compression Model to Defend Adversarial
  Examples
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Xiaojun Jia
Xingxing Wei
Xiaochun Cao
H. Foroosh
AAML
43
259
0
30 Nov 2018
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
210
13,886
0
02 Dec 2016
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