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

On the Need for Topology-Aware Generative Models for Manifold-Based Defenses

ICLR 2020 · Adversarial robustness and security › Certified and empirical robustness · approach: Attack evaluation and defense critique · 6 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Train the generative model with class-wise topology information instead of using class-ignorant trainingReal NVP-based INC · Two-moonsprojection error: 0.647 (0.666) -> 0.148 (0.208)Helped
Train the generative model with class-wise topology information instead of using class-ignorant trainingReal NVP-based INC · Spiralsprojection error: 1.523 (1.338) -> 0.443 (0.440)Helped
Train the generative model with class-wise topology information instead of using class-ignorant trainingReal NVP-based INC · Circlesprojection error: 0.699 (0.491) -> 0.180 (0.259)Helped

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