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Multi-Objective Adversarial Perturbations for SLAM Systems

Welcome to the documentation for the MOLA Adversarial NSGA-III project.

Overview

This project applies NSGA-III (Non-dominated Sorting Genetic Algorithm III) to evolve adversarial perturbations on LiDAR point clouds that can compromise SLAM (Simultaneous Localization and Mapping) systems. The project implements state-of-the-art adversarial attack techniques.

Repository

View the source code on GitHub.