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How to train CL and Refool backdoored model? #5

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Urdarbrunner opened this issue Oct 20, 2021 · 1 comment
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How to train CL and Refool backdoored model? #5

Urdarbrunner opened this issue Oct 20, 2021 · 1 comment

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@Urdarbrunner
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Hello,
I'm very interested in this paper, and I try to reproduce the work.
When I tried to train the backdoored model on CIFAR-10, I followed the advice in readme.md and successfully trained the BadNets, Trojan, Blend and SIG backdoored models mentioned in the paper .
However, when I tried to train the Clean-label and Refool backdoored models, I found that it seemed impossible to do this by simply modifying parameters in configs.py. Then I went to the CL and Refool links mentioned in readme.md, but I still didn't know how to implement these two backdoor attacks.
Now, I have absolutely no idea how to train these two backdoored models, if you could give me some advice and help I would be very grateful

@bboylyg
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bboylyg commented Oct 21, 2021

Hi, Thank you for your attention to our work. The code of CL attack is shown in this link (https://github.com/hkunzhe/label_consistent_attacks_pytorch). The official code of Refool is shown here (https://github.com/DreamtaleCore/Refool). Hope this answer is helpful to you!

@bboylyg bboylyg closed this as completed Oct 31, 2021
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