spectre-defense
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Defending Against Backdoor Attacks Using Robust Covariance Estimation
It should be possible to reimplement the Julia half of the project in Python. This would be useful since not many ML researchers are familiar with Julia.
Hi, I was using your quantum filter code on GTSRB dataset, where number of inputs in each class could be really small (
Hi! Thanks for the nice work. I want to use the three approaches used here for comparison in my own pipeline. What I do is that 1. Train a model...
The normalization of the loss in `mini_train` is slightly off if the batch does not have size `batch_size`, which can be the case when `drop_last` is false.