Comments (6)
Hi,
thanks for the submission! We'll add the models as soon as possible.
from robustbench.
Great, thanks a lot @fra31!
from robustbench.
Added with #44, hope it looks good.
from robustbench.
It looks good, thanks a lot!
from robustbench.
Hi,
Could you kindly update Venue to "ECCV 2022" and the title to "Scaling Adversarial Training to Large Perturbation Bounds?"
Here is the link of the paper: https://arxiv.org/pdf/2210.09852.pdf
Thanks,
Samyak
from robustbench.
Updated with #141 and RobustBench/robustbench.github.io@3ba7d67.
from robustbench.
Related Issues (20)
- Error when running load_cifar10C HOT 1
- What is Best known robust accuracy? HOT 1
- Question for error when running Linf Imagenet Model HOT 4
- [New Model] <Peng2023Robust> HOT 19
- Pickle error for the cifar10 Standard model HOT 8
- Question about preprocessing parameter when using benchmark HOT 1
- Dependency issue on `timm~=0.6.7` with HuggingFace `detectors` package HOT 4
- Latest install causing compatibilty issue with torchvision HOT 2
- Regarding the download and loading of standard model weights (_pickle.UnpicklingError: invalid load key, '<'.) HOT 19
- install error,could you help me check this problem, I use pip install git+https://github.com/RobustBench/robustbench.git HOT 2
- Want to get information of Standard model HOT 4
- Bug Report with a Solution HOT 1
- Not able to load XCIT (Debendetti2022light) HOT 2
- UnpicklingError: invalid load key, '<'. HOT 3
- Add new CIFAR100 standard model HOT 2
- Loading CIFAR10 - C HOT 4
- [New Model] <Bai2024MixedNUTS> HOT 7
- Pretrain ResNet-50 with autoattack HOT 5
- Train robust models on other datasets. HOT 3
- [New Model] Chen2024Data HOT 6
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