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Research map / Adversarial robustness and security / Certified and empirical robustness

Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm

ICML 2021 · Adversarial robustness and security › Certified and empirical robustness · approach: Regularized defenses against attacks · 7 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use Homotopy-Attack instead of GreedyFooltargeted CIFAR-10 attacks · CIFAR-10 targeted attack, average caseℓ0: 289 -> 165Helped
use Homotopy-Attack instead of GreedyFooltargeted ImageNet attacks · ImageNet targeted attack, average caseℓ0: 10837 -> 2706Helped
use Homotopy-Attack instead of GreedyFoolnontargeted CIFAR-10 attacks · CIFAR-10 nontargeted attackℓ0: 116 -> 72Helped
use Homotopy-Attack instead of GreedyFoolnontargeted ImageNet attacks · ImageNet nontargeted attackℓ0: 1128 -> 387Helped
add additional ℓ0 change control and post-attack perturbation to Pure-Homotopy (ablation)Homotopy-Attack · CIFAR-10 targeted ablationℓ0: 223 -> 168Helped
add additional ℓ0 change control and post-attack perturbation to Pure-Homotopy (ablation)Homotopy-Attack · ImageNet targeted ablationℓ0: 16343 -> 2889Helped
replace nmAPG with binary weight search by the full homotopy attack (ablation)CIFAR-10 targeted attacks · CIFAR-10 targeted ablationℓ0: 283 -> 168Helped
replace nmAPG with binary weight search by the full homotopy attack (ablation)ImageNet targeted attacks · ImageNet targeted ablationℓ0: 13582 -> 2889Helped

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