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Boosting 3D Adversarial Attacks with Attacking On Frequency

Boosting 3D Adversarial Attacks with Attacking On Frequency

26 January 2022
Binbin Liu
Jinlai Zhang
Lyujie Chen
Jihong Zhu
    3DPC
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Papers citing "Boosting 3D Adversarial Attacks with Attacking On Frequency"

15 / 15 papers shown
Title
Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual
  Information through a Curriculum Training Approach
Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through a Curriculum Training Approach
Nastaran Darabi
Dinithi Jayasuriya
Devashri Naik
Theja Tulabandhula
Amit Ranjan Trivedi
AAML
44
2
0
19 Sep 2024
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
Tianrui Lou
Xiaojun Jia
Jindong Gu
Li Liu
Siyuan Liang
Bangyan He
Xiaochun Cao
27
8
0
08 Mar 2024
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models
  Against Adversarial Attacks
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks
Yanjie Li
Bin Xie
Songtao Guo
Yuanyuan Yang
Bin Xiao
AAML
37
15
0
01 Oct 2023
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks
  for Defending Adversarial Examples
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples
Qiufan Ji
Lin Wang
Cong Shi
Shengshan Hu
Ying Chen
Lichao Sun
AAML
3DPC
16
2
0
31 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A
  Survey
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey
Hanieh Naderi
Ivan V. Bajić
3DPC
31
7
0
01 Jul 2023
Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive
  Diffusion
Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion
Kui Zhang
Hang Zhou
Jie Zhang
Qidong Huang
Weiming Zhang
Nenghai Yu
DiffM
25
11
0
29 Nov 2022
Improving transferability of 3D adversarial attacks with scale and shear
  transformations
Improving transferability of 3D adversarial attacks with scale and shear transformations
Jinali Zhang
Yinpeng Dong
Junyi Zhu
Jihong Zhu
Minchi Kuang
Xiaming Yuan
3DPC
29
17
0
02 Nov 2022
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets
  Graph Signal Processing
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing
Daizong Liu
Wei Hu
Xin Li
AAML
3DPC
28
15
0
27 Jul 2022
Detecting and Recovering Adversarial Examples from Extracting Non-robust
  and Highly Predictive Adversarial Perturbations
Detecting and Recovering Adversarial Examples from Extracting Non-robust and Highly Predictive Adversarial Perturbations
Mingyu Dong
Jiahao Chen
Diqun Yan
Jingxing Gao
Li Dong
Rangding Wang
AAML
15
0
0
30 Jun 2022
Adversarial samples for deep monocular 6D object pose estimation
Adversarial samples for deep monocular 6D object pose estimation
Jinlai Zhang
Weiming Li
Shuang Liang
Hongya Wang
Jihong Zhu
AAML
13
3
0
01 Mar 2022
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis
Hanieh Naderi
Kimia Noorbakhsh
Arian Etemadi
S. Kasaei
AAML
16
12
0
23 Feb 2022
On Adversarial Robustness of Point Cloud Semantic Segmentation
On Adversarial Robustness of Point Cloud Semantic Segmentation
Jiacen Xu
Zhe Zhou
Boyuan Feng
Yufei Ding
Zhou Li
3DPC
AAML
11
2
0
11 Dec 2021
Convolutional Occupancy Networks
Convolutional Occupancy Networks
Songyou Peng
Michael Niemeyer
L. Mescheder
Marc Pollefeys
Andreas Geiger
3DV
AI4CE
232
971
0
10 Mar 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
14,103
0
02 Dec 2016
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
264
3,110
0
04 Nov 2016
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