Scaling Adversarial Training to Unprecedented Levels of Efficiency and Effectiveness

Adversarial training can be scaled to unprecedented levels of efficiency and effectiveness by leveraging a two-stage training pipeline, efficient image token reduction strategies, and web-scale datasets, establishing new state-of-the-art records for robust accuracy on ImageNet-1K.