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Universal Spectral Adversarial Attacks for Deformable Shapes

Universal Spectral Adversarial Attacks for Deformable Shapes

7 April 2021
Arianna Rampini
Franco Pestarini
Luca Cosmo
Simone Melzi
Emanuele Rodolà
    AAML
ArXivPDFHTML

Papers citing "Universal Spectral Adversarial Attacks for Deformable Shapes"

5 / 5 papers shown
Title
SAGA: Spectral Adversarial Geometric Attack on 3D Meshes
SAGA: Spectral Adversarial Geometric Attack on 3D Meshes
Tomer Stolik
Itai Lang
S. Avidan
AAML
21
1
0
24 Nov 2022
Random Walks for Adversarial Meshes
Random Walks for Adversarial Meshes
Amir Belder
Gal Yefet
Ran Ben Izhak
A. Tal
AAML
33
2
0
15 Feb 2022
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Mian
Navid Kardan
M. Shah
AAML
31
236
0
01 Aug 2021
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial
  Robustness of Neural Networks
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks
Linhai Ma
Liang Liang
AAML
26
18
0
19 May 2020
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
14,109
0
02 Dec 2016
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