Comments (2)
Hi, the error message shown is correct: you are passing the criterion
argument twice - once as a positional and once as a keyword argument. Either remove labels
from the attac kcall (to make make it a targeted attack) or remove criterion=criterion
to make it an untargeted attack. Please let me know in case that doesn't solve your issue and feel free to open the issue again!
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Perfect, thanks for the clear & fast response! Happy to confirm that it's working.
(Just in case others stumble across this, I additionally had to to modify the minimal example from above with
criterion = TargetedMisclassification(torch.LongTensor([42]))
to make it run without errors, i.e. converting from torch.Tensor
to torch.LongTensor
; and to exchange attacks.FGM
with attacks.PGD
since FGM doesn't support this criterion)
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Related Issues (20)
- Example Code Running Failed HOT 1
- [tests/test_models] The results of `transform_bounds` are inconsistent between CPU and GPU. HOT 3
- Are there any plans to support attacks on TFLite models? HOT 1
- Changing CUDA device at runtime HOT 1
- Logit optimization
- about PGD attack HOT 2
- "nll_loss_forward_no_reduce_cuda_kernel_index" not implemented for 'Float' HOT 3
- Deprecation warning using old scipy namespace for gaussian_filter
- how to define the bounds HOT 2
- About the pgd attacks HOT 1
- how to use GaussianBlurAttack HOT 1
- FGSM TargetedMisclassfication HOT 1
- Use foolbox for multi-label classification HOT 1
- Local datasets supported?
- Is there a criterion for query budget? HOT 1
- It seems like the 'success' value in the return of the 'attack' function is overconfident. HOT 2
- About Carlini-Wagner Attack
- Are the wrong classified images sorted out? HOT 1
- It seems your CI/CD has a bug. HOT 1
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