Fooling LiDAR Perception via Adversarial Trajectory Perturbation

29 March 2021

Papers citing "Fooling LiDAR Perception via Adversarial Trajectory Perturbation"

8 / 8 papers shown

Title
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
Spatial-Temporal Anomaly Detection for Sensor Attacks in Autonomous Vehicles Martin Higgins D. N. Jha D. Wallom AAML 4 1 0 15 Dec 2022
Multi-modal Streaming 3D Object Detection Mazen Abdelfattah Kaiwen Yuan Z. J. Wang Rabab Ward 3DPC 23 7 0 12 Sep 2022
SoK: On the Semantic AI Security in Autonomous Driving Junjie Shen Ningfei Wang Ziwen Wan Yunpeng Luo Takami Sato ... Zhenyu Zhong Kang Li Ziming Zhao Chunming Qiao Qi Alfred Chen AAML 15 39 0 10 Mar 2022
ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks Hua Qi Zhijie Wang Qing-Wu Guo Jianlang Chen Felix Juefei Xu L. Ma Jianjun Zhao AAML AI4CE 22 16 0 26 Nov 2021
Learning Distilled Collaboration Graph for Multi-Agent Perception Yiming Li Shunli Ren Pengxiang Wu Siheng Chen Chen Feng Wenjun Zhang 27 237 0 01 Nov 2021
A New Defense Against Adversarial Images: Turning a Weakness into a Strength Tao Yu Shengyuan Hu Chuan Guo Wei-Lun Chao Kilian Q. Weinberger AAML 50 101 0 16 Oct 2019
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