Comdefend

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The code for ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples (CVPR2019)

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# Comdefend
The code for CVPR2019 (ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples)
[paper](https://arxiv.org/abs/1811.12673)
The pure tensorflow of code is released in the [link](https://github.com/ZhangYuef/Comdefend_tensorflow)
## Environmental configuration
tensorflow>=1.1 
python3 
canton(pip install canton)

## Train
Torch: Train_comdefend_Torch.py 
TF: Train_comdefend_TF.py

## Description
**clean_image**: we select 7 clean images which are classified correctly by the classifier 
**attack_image:** we select 7 adversarial images which are attacked by the FGSM method 
**defend_image:** we use the Comdefend to deal with 7 adversarial images
**chackpoints:** the model parameters 
**com_imagenet_temp, temp_imagenet:** the temporary files of the Comdefend
**dev.csv:** correspondence between images and labels
**Resnet_imagenet.py:** the classifier 
**compression_imagenet.py:** the Comdefend for Imagenet
**compression_mnist.py:** the Comdefend for fashion_mnist
## In addition
**E-mail:** jiaxiaojun@iie.ac.cn

Comdefend

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