Adversarial Training  27 : Towards deep learning models resistant to adversarial attack
GitHub repo


TRADES 46 : Theoretically Principled Trade-off between Robustness and Accuracy
pip install gdown
gdown https://drive.google.com/uc?id=10sHvaXhTNZGz618QmD5gSOAjO3rMzV33


SENSE 21 : Sensible adversarial learning
gdown https://drive.google.com/uc?id=1hKf5-PLteFFZgrXdes6o9GC7M1MED94m


Feature-Scattering 44 : Defense against adversarial attacks using feature scattering-based adversarial training
gdown https://drive.google.com/uc?id=1FXgE7llvQoypf7iCGR680EKQf9cARTSg


Adversarial Interpolation Training [45]: Adversarial Interpolation Training: A Simple Approach for Improving Model Robustness
gdown https://drive.google.com/uc?id=1NWYmLAArzstzaknO1L0ZMni0_8UaSpTo


smooth : Certified Adversarial Robustness via Randomized Smoothing
gdown https://drive.google.com/uc?id=1h_TpbXm5haY5f-l4--IKylmdz6tvPoR4


imagenet madry
wget https://www.dropbox.com/s/yxn15a9zklz3s8q/imagenet_linf_8.pt?dl=1
@misc{robustness,
   title={Robustness (Python Library)},
   author={Logan Engstrom and Andrew Ilyas and Hadi Salman and Shibani Santurkar and Dimitris Tsipras},
   year={2019},
   url={https://github.com/MadryLab/robustness}
}