/liresnet

Primary LanguagePython

A Recipe for Improved Certifiable Robustness: Capacity and Data

Paper

To train a model, see run.sh for example. You can also find configs for other datasets.

A detailed README and checkpoints will be updated soon. For any questions, feel free to submit an issue or email kaihu@cmu.edu.

Results on 4 datasets

dataset clean accuracy VRA@36/255 VRA@72/255 VRA@108/255
CIFAR-10 87.0 78.1 66.6 53.5
CIFAR-100 62.1 50.1 38.5 29.0
Tiny-ImageNet 48.4 37.0 26.8 18.6
ImageNet 49.0 38.3 - -