GitHub - 278287847/DEM: Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting

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DE-TIM_SingleModel.py		DE-TIM_SingleModel.py
RF-DE-TIM_MultiModel.py		RF-DE-TIM_MultiModel.py
RF-TI-RDIM_MultiModel.py		RF-TI-RDIM_MultiModel.py
TI-RDIM_SingleModel.py		TI-RDIM_SingleModel.py
dev_dataset.csv		dev_dataset.csv
imagenet.json		imagenet.json
images.csv		images.csv
nets.tar		nets.tar
readme.txt		readme.txt

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DEM
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Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting
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REQUIREMENTS

Python 3.5
Tensorflow 1.10.0
Numpy 1.19
cv2 3.4.2
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Dataset

We use a subset of ImageNet validation set containing 1000 images, which are used in the NIPS 2017 competition. Dataset can be downloaded in https://github.com/tensorflow/cleverhans/tree/master/examples/nips17_adversarial_competition/dataset.
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Models

We use seven models in our submission, many of which are adversarially trained models. The models can be downloaded in http://ml.cs.tsinghua.edu.cn/~yinpeng/nips17/nontargeted/models.zip.
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