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csdongxian avatar csdongxian commented on June 15, 2024

Hello,

We report the results on the checkpoint with the best PGD-20 robustness. Specifically, we save all checkpoints during training, test their robustness under PGD-20 on the test set, and select the best one.
This setting is originally from TRADES, and is inherited by succeeding papers [2,3,4]. We apply this setting for all defenses in Table 2 for a fair comparison.

Hope this addresses your question :)

[1] Theoretically Principled Trade-off between Robustness and Accuracy. In ICML, 2019.
[2] Improving Adversarial Robustness Requires Revisiting Misclassified Examples. In ICLR, 2020.
[3] Boosting Adversarial Training with Hypersphere Embedding. In NeurIPS, 2020.
[4] Bag of Tricks for Adversarial Training. In ICLR, 2021.

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CNOCycle avatar CNOCycle commented on June 15, 2024

Thank you for sharing the details of the selecting strategy but I still have concerns about this strategy. I know that previous papers selected the best checkpoint from testing set but the checkpoint may overfit to testing test potentially. As far as i know, a proper strategy is that splitting a validation set from training set and selecting the best result from the validation set. What I want to say is that the testing set should be hidden until the final evaluation. Do I make problem too complicated?

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