Comments (2)
jonasrauber
commented on May 24, 2024
I think this should already be possible by passing an array / list with one entry (the desired epsilon) using the epsilons keyword argument when applying the attack. If this works we could still discuss simplifying this / making it more obvious, but it would be quite attack-specific.
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jonasrauber
commented on May 24, 2024
Our new implementations of the Basic Iterative Method, Projected Gradient Descent and the Momentum Iterative Method all support this (by default they do however optimize the hyperparameters).
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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
- specifying criterion fails with TypeError 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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