Towards Face Encryption by Generating Adversarial Identity Masks

Environment settings and libraries we used in our experiments

This project is tested under the following environment settings:

• OS: Ubuntu 18.04.3
• GPU: Geforce 2080 Ti or Tesla P100
• Cuda: 9.0, Cudnn: v7.03
• Python: 3.5.2
• TensorFlow: 1.9.0
• PyTorch: >= 1.4.0
• Torchvision: >= 0.4.0

Data Preparation

• Please download LFW, Put LFW dataset and pairs.txt to data.
• Put some specific target images to targets

Crafting Identity Masks

Running command for crafting identity masks:

python run.py

Citation

If you benefit from our work in your research, please consider to cite the following paper:

@InProceedings{Yang_2021_ICCV,
    author    = {Yang, Xiao and Dong, Yinpeng and Pang, Tianyu and Su, Hang and Zhu, Jun and Chen, Yuefeng and Xue, Hui},
    title     = {Towards Face Encryption by Generating Adversarial Identity Masks},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2021},
    pages     = {3897-3907}
}