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

Lower bounds on the robustness to adversarial perturbations

NeurIPS 2017 · Adversarial robustness and security › Certified and empirical robustness · approach: Provable robust learning guarantees · 46 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Layer-wise theoretical lower bound on adversarial perturbation norm (vs. empirical FGS norms)LeNet · MNIST and CIFAR-10 test setsviolations of boundNo clear effect
Bounds computed as lower bounds on perturbation norm, compared to FGS empirical normsLeNet · MNIST and CIFAR-10 test setsgap between bound and empirical perturbation normMixed
Model-level LeNet accuracy comparison: MNIST vs CIFAR-10 perturbation magnitudeLeNet · MNIST vs CIFAR-10normalized adversarial perturbation normMixed

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