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I am quite new to adverserial attacks, so the current behaviour might be intended.
I currently use your DeepFool implementation as an estimate for the distance to the decision boundary of a classif…
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https://github.com/LTS4/hold-me-tight/blob/b893e97f0b5fe8100472ac68d715d0cb99d0c7dc/utils.py#L166
Hi, the work "Hold me tight!" is excellent and I enjoy the reading. Here, I have a small question a…
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I am trying to apply the whitebox attacks on digit images, the prediction for digits are accurate, but when the attack is applied, the losses is 0.0 and the init images remain the same and does not ch…
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I have tried generating some adversarial samples with DeepFool and setting the `eps` parameter to 0.2, however the attack samples had a distance far greater than 0.2 from the original samples.
Is …
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**Describe the bug**
Running `DeepFool` on a `SklearnClassifier` results in probabilities instead of logits being provided to `DeepFool`.
**To Reproduce**
Pseudocode only
```python
X, y = ...
…
zacps updated
3 years ago
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**Describe the bug**
A clear and concise description of what the bug is.
RuntimeWarning: invalid value encountered in true_divide
result = grad / np.linalg.norm(grad)
**To Reproduce**
Steps…
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Is it by default 10? What value was used to report the paper results?
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Standard Accuracy -- No confrontation training, the accuracy rate is 40%, only 30%
``` python
# !/usr/bin/env python
# -- coding: utf-8 --
# @Author zengxiaohui
# Datatime:8/26/2021 8:56 AM
# …
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I completely look your code in universal_pert.py, and I find that there is nothing about with the UAP.
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Hi Ziangyan,
In the code you have used the same preprocessing as MatConvNet. Can you describe the preprocessing in detail? I assume that it is subtracting the mean, as written in the source code of…