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Learning to Learn Transferable Attack

This is the project page of our paper:

Learning to Learn Transferable Attack
Fang, S., Li, J., Lin, X., & Ji, R.
AAAI 2022. arxiv

Run

  • images/dev_dataset.csv contains only URLs of the images. Download these images and put them into images
  • Generate adverial examples and the results will be saved in output
    • ResNet-50 as the source model: python main.py --source-model resnet50
    • DenseNet-121 as the source model: python main.py --source-model densenet121
  • Download the adversarially trained models in here
  • To evaluate success rate
    • Attack naturally trained models: python eval/evaluate_NT_trained.py --adv-dir output
    • Attack adversarially trained models: python eval/evaluate_AT_trained.py --adv-dir output

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The project page of paper: Learning to Learn Transferable Attack [AAAI 2022] Topics Resources

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