Research map / Adversarial robustness and security / Certified and empirical robustness
Mixed Nash Equilibria in the Adversarial Examples Game
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use a randomized classifier instead of a deterministic classifier | Synthetic two-dimensional classification · Synthetic dataset | adversarial risk | Helped |
| Train a robust mixture of classifiers instead of a single-model standard adversarial-training baseline | ResNet18 · CIFAR-10 test images | robust accuracy: more 1% | Helped |
| Train a robust mixture of classifiers instead of a single-model standard adversarial-training baseline | ResNet18 · CIFAR-10 test images | standard accuracy | No clear effect |
| Increase the number of classifiers in the mixture | Adversarial training for mixtures · CIFAR-10 | overfitting | Helped |
Closest papers by meaning
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