Comments (1)
Hi,
thanks for the interest in our work! Your code looks fine to me, just I wouldn't use any interpolation when plotting the images (i.e. interpolation='none'
).
If you mean that the images are low resolution, that's because the dataset itself has images of 32x32 pixels. Maybe visualizing side by side the original and adversarial examples helps to highlight the difference (note that in case the image is initially misclassified the results file contains just a copy of it).
Hope this answers your questions (otherwise let me know)!
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Related Issues (20)
- Can AutoAttack be used to dense prediction task? HOT 2
- Softmax probabilities instead of logits HOT 3
- normalization with deepfool fmodel HOT 4
- Regarding the checks recently added to AutoAttack HOT 4
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- eps 8./255. works fine 4./255. does not work fine. HOT 12
- Import error for pytorch version 1.10.0 HOT 3
- 4 classes model; targeted attacks are different HOT 2
- A Bug in Square Attack HOT 4
- Problem that forward output is tuple rather than tensor HOT 1
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- ensemble attack HOT 3
- max Linf perturbation is larger than the epsilon HOT 3
- gradient computation issue HOT 4
- Unable to use Python debugger HOT 1
- Unable to use in TF2 HOT 5
- Parallelized computing HOT 5
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