LiDAR-SHIELD: A Fully Dockerized Adversarial Robustness Assessment Framework for LiDAR-Based 3D Perception Models

Summary

LIDARSHIELD is a Dockerized framework for assessing the adversarial robustness of LiDAR-based 3D perception models. It exposes any model through three HTTP endpoints (/info, /forward, /gradient), so connecting a new model or dataset needs only a single loader function or adapter. It supports 3D semantic segmentation and 3D object detection, integrating attacks such as PGD, Square Attack and LiDAttack.

Topics

• Adversarial machine learning

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