Comments (1)
max-andr
commented on May 26, 2024
Hi,
Thanks for the interest in our work!
Unfortunately, I don't have the ImageNet models anymore. But you can train them from scratch using the code from "Fast is better than free" paper with the GradAlign regularizer.
I hope that helps.
Best,
Maksym
from understanding-fast-adv-training.
Related Issues (7)
- grad1 in train.py HOT 3
- free AT doesn‘t work in SVHN HOT 2
- Some detail about GradAlign HOT 1
- A bug in `eval.py` HOT 1
- What is the `utils.nullcontext()` HOT 2
- Is the number of test samples 1000? HOT 5
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from understanding-fast-adv-training.