Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
The paper discusses adversarial training’s robustness-accuracy trade-off problem and proposes a solution. The authors focus on invariance regularization to create adversarially invariant representations without losing discriminative power. They identify two…
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