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

Adversarial Robustness through Disentangled Representations

AAAI 2021 · Adversarial robustness and security › Certified and empirical robustness · approach: Robustness-accuracy trade-off analysis · 24 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use DRRDN instead of TRADESMNIST classifier · MNIST PGD40accuracy: 96.95 -> 97.55Helped
use DRRDN instead of TRADESCIFAR10 classifier · CIFAR10 PGD40accuracy: 50.91 -> 52.32Helped
add mutual-information minimization (ablation)DRRDN · MNIST PGD40accuracy: 96.88% -> 97.55%Helped
add mutual-information minimization (ablation)DRRDN · MNIST PGD100accuracy: 96.25% -> 96.78%Helped
add reconstruction loss (ablation)DRRDN · MNIST PGD40accuracy: 97.32% -> 97.55%Helped
add reconstruction loss (ablation)DRRDN · MNIST PGD100accuracy: 96.43% -> 96.78%Helped

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