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You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle

NeurIPS 2019 · Adversarial robustness and security › Certified and empirical robustness · approach: Adversarial training refinements · 74 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace PGD-40 adversarial training with YOPO-5-10MNIST adversarial training · MNISTPGD-40 Attack accuracy: 96.56% -> 96.27%No clear effect
Replace PGD-40 adversarial training with YOPO-5-10MNIST adversarial training · MNISTCW Attack accuracy: 93.52% -> 93.56%No clear effect
Replace PGD-40 adversarial training with YOPO-5-10MNIST adversarial training · MNISTtraining time: 250 seconds; 1250sHelped
Replace PGD-10 adversarial training with YOPO-5-3PreAct-Res18 · CIFAR10PGD-20 Attack accuracy: 41.61% -> 44.72%Helped
Replace PGD-10 adversarial training with YOPO-5-3PreAct-Res18 · CIFAR10CW Attack accuracy: 58.88% -> 59.77%Helped
Replace PGD-10 adversarial training with YOPO-5-3Wide ResNet34 · CIFAR10PGD-20 Attack accuracy: 47.04% -> 47.98%Helped
Replace PGD-10 adversarial training with YOPO-5-3Wide ResNet34 · CIFAR10Training Time: 2713 -> 476Helped
Replace Free-8 adversarial training with YOPO-5-3Wide ResNet34 · CIFAR10PGD-20 Attack accuracy: 47.00% -> 47.98%Helped
Replace TRADES-10 with TRADES-YOPO-3-4PreAct-Res18 with TRADES objective · CIFAR10PGD-20 Attack accuracy: 44.50% -> 46.13%Helped
Replace TRADES-10 with TRADES-YOPO-3-4PreAct-Res18 with TRADES objective · CIFAR10Training Time: 633 -> 259Helped
Vary YOPO configuration from 5-3 to 3-5 (ablation)YOPO adversarial training on Wide ResNet34 · CIFAR10PGD-20 Attack accuracy: 47.98% -> 43.04%Hurt
Vary YOPO configuration from 5-3 to 3-5 (ablation)YOPO adversarial training on Wide ResNet34 · CIFAR10Training Time: 476 -> 299Helped

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