Skip to content

ShawnXYang/TIP-IM

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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}
}

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Languages