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)
- BackdoorAttack class has no argument for source_class HOT 1
- Low effective loading in get_class_subset function HOT 1
- Install newest version fail HOT 1
- 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
- badnet folder information HOT 1
- [Error] When I test Neural Cleanse i got a error HOT 2
- Is it possible to apply methods to graph? HOT 6
- Input aware dynamic backdoor error HOT 5
- trojanvision.datasets.ImageFolder HOT 1
- Possible bug: target_class not changed when computing ASR for reversed triggers HOT 2
- problem about saving the intermediate results and config problem HOT 6
- strange mark saved HOT 2
- Hyperparameters for training Resnet18 on CIFAR10? HOT 1
- STRIP implementation doesn't match original codebase HOT 1
- Attack saving and loading is not working HOT 2
- Comp version of networks HOT 2
- Unable to Access Triggered Dataset in BadNet Attack HOT 5
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