PSS

The code of our our CVPR paper: Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services

Probabilistic Selective Encryption of Convolution Neural Networks for Hierarchical Services

Preliminaries

• Pytorch

Datasets

• CIFAR-10

Pretrained model

• VGG19, DnCNN Pretrained DnCNN are provided in the file: ./PretrainedModel/. Pretrained VGG19 are provided on https://drive.google.com/file/d/1qDWiwpgpUwn9ESXtu4BRbGgZsd-4b7RJ/view?usp=sharing

Protect VGG19 (results in Fig. 3):

ProtectVGG19.py
Pretrained importance of paramters of VGG19 are provided in the file: `./Importance/`.
python ProtectVGG19.py

Hierarchical services of DnCNN:

python HierarchicalServicesDnCNN.py