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3d-adv-pc

Generating 3D Adversarial Point Clouds

3d-detection-tracking-viewer

3D detection and tracking viewer (visualization) for kitti & waymo dataset

3d-isometry-robust

advgcgan

advpc

AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds (ECCV 2020)

aof

official PyTorch implementation of ‘Boosting 3D Adversarial Attacks with Attacking On Frequency’

awesome-lidar

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

awesome-physical-adversarial-examples

cvpr-2021-papers

darknet

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

dgcnn

flat

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

geoa3

Code for Geometry-Aware Generation of Adversarial Point Clouds

gsda

code for "Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks"

hit-adv

The code of "Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds" CVPR 2024

iccv-papers

if-defense

This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration

interpret_quality

Interpreting Representation Quality of DNNs for 3D Point Cloud Processing (NeurIPS 2021)

jgba-pointcloud-attack

Official code of paper <Efficient Joint Gradient Based Attack Against SOR Defense for 3D Point Cloud Classification>

l3a

lhy_machine_learning

李宏毅2021/2022/2023春季机器学习课程课件及作业

lidar-diffusion

[CVPR 2024] Official implementation of "Towards Realistic Scene Generation with LiDAR Diffusion Models"

lidardm

LidarDM: Generative LiDAR Simulation in a Generated World

lidargen-kitti

Official implementation of "Learning to Generate Realistic LiDAR Point Clouds" (ECCV 2022)

minimal_adversarial_pcd

Minimal Adversarial Examples for Deep Learning on 3D Point Clouds (ICCV 2021)

msf-adv

MSF-ADV is a novel physical-world adversarial attack method, which can fool the Multi Sensor Fusion (MSF) based autonomous driving (AD) perception in the victim autonomous vehicle (AV) to fail in detecting a front obstacle and thus crash into it. This work is accepted by IEEE S&P 2021.

occam

Demo code for the paper: OccAM's Laser

pc-igos

Point Cloud Integrated-Gradients Optimized Saliency, a visualization technique that can automatically find the minimal saliency map that covers the most important features on a shape.

planfuzz

PlanFuzz is a novel dynamic testing tool for discovering semantic DoS vulnerability in AD behavioral planning (NDSS 2022)