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Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

Home Page: https://arxiv.org/abs/1904.12843

Python 100.00%
adversarial-machine-learning adversarial-attacks adversarial-learning adversarial-example adversarial-examples adversarial attack-defense attack robust robustness classification

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free_adv_train's Issues

The question about delta.

Thanks for your work, it helps me a lot. I notice the delta in your algorithm is gradually accumulate. but that in 《Towards Deep Learning Models Resistant to Adversarial》 is randomly reset. Is there any difference between these two methods ?

The pytorch version.

Thanks for your great work.
I notice the training script mainfree.py of Pytorch version does not support multi-gpus training.

Is there any technical issue?

Questions with respect to the validation

Hi, @ashafahi , thanks for your implementation, when evaluating your model during training, it seems like you did not switch off the batch norm, will that cause some difference in the validation results?

Could you share pre-trained models?

Could you share your pre-trained models? Of course, we can train them from scratch, but it will be largely convenient if pre-trained models can be provided. Thanks in advance.

Share pretrained cifar10 model

I would really appreciate if you would share the trained robust cifar10 model. Despite the adversarial training is "free", it still requires 10+ GPU hours.

Thank you so much!

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