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Geometry-aware Instance-reweighted Adversarial Training

ICLR 2021 · Adversarial robustness and security › Certified and empirical robustness · approach: Robustness-accuracy trade-off analysis · 31 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Apply geometry-aware instance reweighting to ATWRN-32-10 · CIFAR-10 test, best checkpointPGD-20 accuracy: 51.96 ± 0.21 -> 57.81 ± 0.54; +5.85Helped
Apply geometry-aware instance reweighting to ATWRN-32-10 · CIFAR-10 test, best checkpointPGD+ accuracy: 51.28 ± 0.23 -> 55.61 ± 0.61; +4.33Helped
Apply geometry-aware instance reweighting to ATWRN-32-10 · CIFAR-10 test, best checkpointnatural accuracy: 86.92 ± 0.24 -> 85.75 ± 0.23; -1.17Hurt
Add geometry-aware instance reweighting to FATWRN-32-10 · CIFAR-10 test, best checkpointPGD-20 accuracy: 51.24 ± 0.14 -> 56.21 ± 0.52Helped
Add geometry-aware instance reweighting to FATWRN-32-10 · CIFAR-10 test, best checkpointnatural accuracy: 89.16 ± 0.15 -> 88.59 ± 0.12Hurt
Apply geometry-aware instance reweighting to ATWRN-32-10 · CIFAR-10 test, last checkpointPGD-20 accuracy: 46.73 ± 0.08 -> 53.76 ± 0.49; +7.03Helped
Apply geometry-aware instance reweighting to ATWRN-32-10 · CIFAR-10 test, last checkpointPGD+ accuracy: 46.08 ± 0.07 -> 50.32 ± 0.48; +4.24Helped
Apply geometry-aware instance reweighting to ATWRN-32-10 · CIFAR-10 test, last checkpointnatural accuracy: 86.62 ± 0.22 -> 85.49 ± 0.25; -1.13Hurt
Use geometry-based decreasing weights instead of equal AT weights (ablation)ResNet-18 · CIFAR-10robust test accuracyHelped
Use the tanh-type decreasing weight function rather than alternative tested weight functions (ablation)GAIRAT · CIFAR-10robust test accuracyHelped
Decrease lambda to emphasize attackable examples more (ablation)GAIRAT · CIFAR-10robust test accuracyHelped
Shorten the burn-in period before geometry-based weighting (ablation)GAIRAT · CIFAR-10robust test accuracyHelped

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