Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
My personal CV
My dotfiles (mainly Nix-related)
Gitlinks repository (uses https://github.com/lengstrom/gitlinks)
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
RobustBench: a standardized adversarial robustness benchmark [arXiv, Oct 2020]
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[NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)