A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks

20 December 2022

Papers citing "A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks"

9 / 9 papers shown

Title
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving Alexandra Arzberger Ramin Tavakoli Kolagari AAML 87 0 0 21 Mar 2025
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models Yifan Zhang Junhui Hou 64 1 0 03 Jan 2025
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding Lingdong Kong Xiang Xu Jun Cen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 42 5 0 25 Mar 2024
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration Yifan Zhang Siyu Ren Junhui Hou Jinjian Wu Guangming Shi Guangming Shi SSL 3DPC 74 3 0 23 Jan 2024
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 19 7 0 01 Jul 2023
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection Jiajun Deng Shaoshuai Shi Pei-Cian Li Wen-gang Zhou Yanyong Zhang Houqiang Li 3DPC 221 660 0 31 Dec 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 219 14,047 0 02 Dec 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,108 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,830 0 08 Jul 2016