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License: MIT License
Watermarking Deep Neural Networks (USENIX 2018)
License: MIT License
when i run the code ,the error appear
indim = nn.Linear.in_features
AttributeError: type object 'Linear' has no attribute 'in_features'
I plan on using the trigger set for an open-source project. However, I cannot find any information in this repo about the source of those images. Can you provide some information about the source so that we can include it in our source information? Thank you.
If you print out the trigger set labels during watermark training, the labels are all 0, not randomized (0-9).
To recreate, add the line print (wmtargets)
before the main loop in def train(...):
under trainer.py. If you then run python train.py --wmtrain
you'll see a list of tensors with 0 values.
I think this has to do with how the wmloader labels are trying to be set in helpers/loaders.py
? It might be easier to just use the default folder structure assumed by datasets.ImageFolder()
.
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