Comments (1)
HanxunH
commented on July 20, 2024
This may depend on how the noise is generated. I'm not sure what do you mean by using cls_id to choose the sample-wise noise from perturb_tensor.
In ImageNetMini class, I used the cls_id to select the first 100 classes, and use this dataset to generate the noise (perturb_tensor). So the perturb_tensor only contains the noises for images of the first 100 classes. When the noise is applied to the data, the perturbed dataset inherits from ImageNetMini class, the ordering should be the same with the perturb_tensor.
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Related Issues (12)
- Why use custom models? Cannot reproduce with torchvision model HOT 3
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- Some questions about face recognition poisoning attack HOT 5
- A problem about noise generating. HOT 1
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