ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2008.12066
  4. Cited By
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds

Minimal Adversarial Examples for Deep Learning on 3D Point Clouds

27 August 2020
Jaeyeon Kim
Binh-Son Hua
D. Nguyen
Sai-Kit Yeung
    3DPC
ArXivPDFHTML

Papers citing "Minimal Adversarial Examples for Deep Learning on 3D Point Clouds"

11 / 11 papers shown
Title
Robust Unsupervised Domain Adaptation for 3D Point Cloud Segmentation Under Source Adversarial Attacks
Robust Unsupervised Domain Adaptation for 3D Point Cloud Segmentation Under Source Adversarial Attacks
H. Li
Junjie Chen
Yuecong Xu
Kemi Ding
3DPC
36
0
0
02 Apr 2025
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving
Alexandra Arzberger
Ramin Tavakoli Kolagari
AAML
143
0
0
21 Mar 2025
Evaluating the Robustness of LiDAR Point Cloud Tracking Against Adversarial Attack
Evaluating the Robustness of LiDAR Point Cloud Tracking Against Adversarial Attack
Shengjing Tian
Yinan Han
Xiantong Zhao
Bin Liu
Xiuping Liu
AAML
26
0
0
28 Oct 2024
Robust 3D Point Clouds Classification based on Declarative Defenders
Robust 3D Point Clouds Classification based on Declarative Defenders
Kaidong Li
Tianxiao Zhang
Cuncong Zhong
Z. Zhang
G. Wang
3DPC
40
1
0
13 Oct 2024
Flow AM: Generating Point Cloud Global Explanations by Latent Alignment
Flow AM: Generating Point Cloud Global Explanations by Latent Alignment
Hanxiao Tan
37
1
0
29 Apr 2024
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
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models
  Against Adversarial Examples
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples
Shengshan Hu
Junwei Zhang
W. Liu
Junhui Hou
Minghui Li
L. Zhang
Hai Jin
Lichao Sun
AAML
3DPC
25
9
0
22 Nov 2022
3DeformRS: Certifying Spatial Deformations on Point Clouds
3DeformRS: Certifying Spatial Deformations on Point Clouds
S. GabrielPérez
Juan C. Pérez
Motasem Alfarra
Silvio Giancola
Bernard Ghanem
3DPC
24
12
0
12 Apr 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
14
12
0
23 Feb 2022
Adversarial Attack by Limited Point Cloud Surface Modifications
Adversarial Attack by Limited Point Cloud Surface Modifications
Atrin Arya
Hanieh Naderi
S. Kasaei
AAML
3DPC
32
4
0
07 Oct 2021
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
150
768
0
30 Mar 2018
1