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- windows10
- torch:0.4.1
- torchvision:0.2.1
Hi,I have read your published paper and benefited from it. Thank you very much!
I downloaded the code and ran test_sparsefool.py. I don't know if it…
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The original paper for JSMA - "https://arxiv.org/abs/1511.07528" uses forward derivative to compute the Jacobian which is then used for find most important pixels and perturbed. I am trying to impleme…
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Changing `overshoot` parameter does not have any effect in `DeepFool` attack. I think the problem is with `structural_kwargs` in `attack.py` file.
`over_shoot` should be changed to `overshoot`.
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I use the gaussian augmentation and label smoothing method on the cifar-10 adversarial training example. But the accuracy of defences methods is lower than the clean train dataset. Is this normal?
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Dear all,
I just upgraded to cleverhans 2.1.0 version and it seems like the attacks are getting a lot slower for instance a Pgd attack was taking only 10 mn to generate the adversarial image but now …
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When I run the same code multiple times, I get different values for the L2 norm of the adverserial attack (using deepfoolattack (L2 norm). However, when I do this in a for loop, I get the same values.…
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I rewrote the program to verify deepfool attack according to fgsm demo, but there seems to be some problems during the process. It seems to be a problem with the session delivery process. self.Sess is…
Erpim updated
6 years ago
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Hi all, I apply CarliniL2Method(classifier...).generate(img_variable.data.numpy()) to generate asversary samples. It shows that
Traceback (most recent call last):
File "adv_tool.py", line 127, in
…
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Hello,
I suspect I may have encountered a bug in the implementation of the Carlini-Wagner L2 attack. Consider the following code:
```
import numpy as np
import keras
import foolbox
from kera…
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With the current implementation, every object created from the classes based on the `Attack` class need to provide a `tf.Session` instance in the constructor. However, this limits the usage of the att…