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The results in your paper are excellent, and I would like to reproduce them.
However, I have a question about Narcissus.ipynb.
Poi_warm_up_loader variable is received train_target, but the label of this dataset is still the label in CIFAR-10 ("2" for target class in the code).
However, during training of surrogate model, the CIFAR-10 and TinyImageNet data concatenated, and the label of the instances of the CIFAR-10 target class was assigned to "200".
Therefore, isn't it unintentional to train with train_target since the labels are different?
I have the same question about trigger_gen_loaders.
Please let me know if my interpretation is wrong.
Thank you.
The text was updated successfully, but these errors were encountered:
It is fine to use any label in the surrogate model, the surrogate aims to make the model a feature extractor, and as the target class is included in the training dataset, the model will be able to distinguish from class to class.
The results in your paper are excellent, and I would like to reproduce them.
However, I have a question about
Narcissus.ipynb
.Poi_warm_up_loader
variable is receivedtrain_target
, but the label of this dataset is still the label in CIFAR-10 ("2" for target class in the code).However, during training of surrogate model, the CIFAR-10 and TinyImageNet data concatenated, and the label of the instances of the CIFAR-10 target class was assigned to "200".
Therefore, isn't it unintentional to train with
train_target
since the labels are different?I have the same question about
trigger_gen_loaders
.Please let me know if my interpretation is wrong.
Thank you.
The text was updated successfully, but these errors were encountered: