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Biqing-Qi / Exploring-Adversarial-Robustness-of-Deep-State-Space-Models

[NeurIPS 2024] Exploring Adversarial Robustness of Deep State Space Models
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train_trades_mnist.py and train_trades_cifar10.py missing evaluation part #3

Open TalRub104 opened 3 days ago

TalRub104 commented 3 days ago

Hi, The scripts train_trades_mnist.py and train_trades_cifar10.py don't include the following: Code to save the best checkpoints The folllwing evaluation: train_loss, train_acc = eval_train(args, model, device, train_loader) test_loss, test_acc = eval_test(args, model, device, test_loader) adv_test_loss, adv_test_acc = adv_test(args, model, device, test_loader, args.attack_type)

*Call for AA_eval(model, args)

Additionally, I don't understand why the AA_adv_test function doesn't perform adversarial accuracy evaluation as the adv_test function does, nor why it doesn't return any value or print any result.

gjq100 commented 1 day ago

Hello, you may leave your email address, and we can use it to get in touch. I believe this will facilitate receiving notifications and solving problems more conveniently.

TalRub104 commented 1 day ago

Hi, My email is:

talr5@mail.tau.ac.il

Thanks!