-
-
Dear Mzweilin,
First of all, thank you for your incredible work.
Anyway, I got some trouble to reproduce the paper results.
More precisely, I tried to reproduce the ImageNet results (FGSM attack…
-
In your code you are using an optimizer with the models parameters to update the model parameters.. thats not how fgsm works, you are basically updating the model weights so the attack succeeds..
-
File "generate.py", line 137, in
main(args)
File "generate.py", line 111, in main
x_adv = fgsm(model, x, t, loss_func, eps)
File "D:\Graduate\APE-GAN-master\utils.py", line 14, in f…
-
The paper describe another two types of attack: C&W L1 and L_infinity attack
-
Hi, great repo!
I am little confused with this line
https://github.com/sarathknv/adversarial-examples-pytorch/blob/54887aa583ee19e94fc95e23684271019eecdd68/fgsm.py#L84
As far as I know, it is mo…
-
对抗深度学习: 模型准确性与模型鲁棒性能否兼得?
机器È…
-
Hello,
I am trying to run your code but unfortunately there are a lot of errors to be solved, you have not specified the version of tensorflow, python and keras in your dependency file and after solv…
-
Hi, I'm very intrested in your work, and recently I tried to validate the advGAN in Imagenet dataset, but the result show that the efficient is not good. Then I used your git codes to test in cifar10,…
-
this question is about train_fgsm.py
I modified function "get_loaders" and net's num_classes to let program can run with cifar100. But pgd acc is only 3%. And it's normal with cifar10.
The modifie…