This repository is the official repository for our paper "Improving Transferable Adversarial Attack for Vision Transformers via Global Attention and Local Drop".
Download the dataset from the following link and extract images to the path “./data/”:
https://drive.google.com/file/d/1VAELrOwK2uE7XBqrVpa8SZJmX2X52Abc/view?usp=sharing
You can run the following command to perform the GALD attack method, using vit_base_patch16_224 model as a surrogate model.
python main.py --white vit --ra 0.7 --rd 0.1 Please refer to 'main.sh` for more experiments.