Comments (5)
clean label is a baseline that is expected to not work.
I guess you are referring to label consistent attack, which is work from Madry’s group.
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Yes, Label consistent attack. Could not understand Madry's group?
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https://arxiv.org/abs/1912.02771
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Even refool attack success rate is very lower:
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That is recently changed in c2fd73e for the mark alpha value.
We believe it's expected to not work. If you find any solution to make it perform well, we may have a discussion on that.
Here's my notes on Refool: https://ain-soph.github.io/trojanzoo/trojanvision/attacks/backdoor/clean_label.html#trojanvision.attacks.Refool
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Related Issues (20)
- Where can I find your detailed result? HOT 1
- Hyperparameter augmentation in TABOR HOT 2
- Where is the ABE and TB ? HOT 1
- The problem of gtsrb dataset HOT 13
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- Question about experiment after pip install HOT 6
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- Code for ImageNet has bugs HOT 3
- BackdoorAttack class has no argument for source_class HOT 1
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- Using a custom model HOT 4
- RuntimeError: Dataset not found or corrupted. You can use download=True to download it HOT 10
- In new push model path is not working HOT 1
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- [Error] When I test Neural Cleanse i got a error HOT 2
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