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Dataset encryption before model learning
Hello!
How do I encrypt a dataset before passing it into a dataloader and then sending it into an architecture for training?
I want to encrypt the dataset before training as well, is that possible?
Are there any updates about this issue? In the ML encryption example, the model needs to be known for encryption. Perfect for my scenario would it be, if I could encrypt any data and classify it with the model.