Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients

29 March 2022

Papers citing "Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients"

9 / 9 papers shown

Title
Robust Unsupervised Domain Adaptation for 3D Point Cloud Segmentation Under Source Adversarial Attacks H. Li Junjie Chen Yuecong Xu Kemi Ding 3DPC 39 0 0 02 Apr 2025
Robust 3D Point Clouds Classification based on Declarative Defenders Kaidong Li Tianxiao Zhang Cuncong Zhong Z. Zhang G. Wang 3DPC 42 1 0 13 Oct 2024
Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training Jinpeng Lin Xulei Yang Tianrui Li Xun Xu 3DPC 33 0 0 23 Sep 2024
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 31 7 0 01 Jul 2023
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis Hanieh Naderi Kimia Noorbakhsh Arian Etemadi S. Kasaei AAML 14 12 0 23 Feb 2022
LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices R. Rosu Peer Schütt Jan Quenzel Sven Behnke 3DPC 31 32 0 09 Aug 2021
Convolutional Occupancy Networks Songyou Peng Michael Niemeyer L. Mescheder Marc Pollefeys Andreas Geiger 3DV AI4CE 229 971 0 10 Mar 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud Weijing Shi Ragunathan R. Rajkumar 3DPC 153 737 0 02 Mar 2020
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