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Training robust models takes a looong time since generating adversaries is so expensive. We design a parallel algorithm for training large robust models using PyTorch C++/MPI and show it runs fast!
Adversarial Simulator allows one to simulate adversarial attacks in the virtual environment within the Unreal Engine and inference with Nvidia DRIVE SDK. This repository contains the code, assets, example datasets, models, test results, and a video demo for the paper :