3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack

15 August 2023

Papers citing "3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack"

10 / 10 papers shown

Title
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models YangTian Yan Jinyu Tian AAML FedML 70 0 0 28 Mar 2025
Sustainable Self-evolution Adversarial Training Wenxuan Wang Chenglei Wang Huihui Qi Menghao Ye Xuelin Qian Peng Wang Yanning Zhang AAML 66 0 0 03 Dec 2024
Hard-Label Black-Box Attacks on 3D Point Clouds Daizong Liu Yunbo Tao Pan Zhou Wei Hu 3DPC 64 0 0 30 Nov 2024
Joint Top-Down and Bottom-Up Frameworks for 3D Visual Grounding Yang Liu Daizong Liu Wei Hu 3DPC 16 1 0 21 Oct 2024
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 25 15 0 01 Oct 2023
Isometric 3D Adversarial Examples in the Physical World Yibo Miao Yinpeng Dong Junyi Zhu Xiao-Shan Gao 37 29 0 27 Oct 2022
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing Daizong Liu Wei Hu Xin Li AAML 3DPC 23 15 0 27 Jul 2022
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis Tiange Xiang Chaoyi Zhang Yang Song Jianhui Yu Weidong (Tom) Cai 3DPC 138 282 0 04 May 2021
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 14,087 0 02 Dec 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,109 0 04 Nov 2016