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Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds

Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds

23 May 2024
Hanwei Zhang
Luo Cheng
Qisong He
Wei Huang
Renjue Li
R. Sicre
Xiaowei Huang
Holger Hermanns
Lijun Zhang
    AAML
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Papers citing "Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds"

4 / 4 papers shown
Title
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
DensePoint: Learning Densely Contextual Representation for Efficient
  Point Cloud Processing
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
Yongcheng Liu
Bin Fan
Gaofeng Meng
Jiwen Lu
Shiming Xiang
Chunhong Pan
3DPC
119
270
0
09 Sep 2019
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
222
14,099
0
02 Dec 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,835
0
08 Jul 2016
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