https://github.com/enkiwang/imperceptible-fake-face-antiforensic

Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection
https://github.com/enkiwang/imperceptible-fake-face-antiforensic

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Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection

• Host: GitHub
• URL: https://github.com/enkiwang/imperceptible-fake-face-antiforensic
• Owner: enkiwang
• Created: 2020-06-28T04:59:43.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-01-23T14:36:23.000Z (almost 2 years ago)
• Last Synced: 2023-07-30T14:21:15.528Z (over 1 year ago)
• Language: Python
• Homepage:
• Size: 3.39 MB
• Stars: 8
• Watchers: 2
• Forks: 5
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
## An Imperceptible Anti-forensic Method, Models and Dataset 

**Perception matters: exploring imperceptible and transferable anti-forensics for GAN-generated fake face imagery detection**



This repository contains the code, models and dataset for the project "Perception matters: exploring imperceptible and transferable anti-forensics for GAN-generated fake face imagery detection". 

## Implementation

This code has been tested on Ubuntu 16.04 system, with following pre-requisites. 

### Pre-requisites

1. python >=3.6.10

2. PyTorch >=0.4.1

3. torchvision >=0.2.1

4. Pillow >=5.4.1

### Dataset

The face dataset we used is an image subset dataset downloaded from [here](https://github.com/NVlabs/stylegan). 

If you agree with the license in [here](https://github.com/NVlabs/stylegan/blob/master/LICENSE.txt), you might be permitted to download the downsampled image subset from [here](https://drive.google.com/file/d/1tudf3eFtlPtn5eX7BWW1IxjXtfIgreyH/view?usp=sharing). 

   

This face image subset consists of 40,000 real face images and 40,000 fake face images with image resolution as 128x128. For real or fake face images, the dataset splits are: 30,000 images are used for model training; 5,000 images for validation; and the rest 5,000 for test. 

After downloading the dataset, please unzip and put them in the data directory.  

 

### Models

The pretrained deep learning-based fake face forensic models can be downloaded [here](https://drive.google.com/file/d/1Me6i2xKHbMdh7I-JS7ZJ1QN-6e-SBeov/view?usp=sharing). After downloading pretrained models, please uncompress and put them in the checkPoint directory. 

### Run attacks 

```bash

cd attacks

bash ./run_attack.sh

```

If you find our code useful in your research, please consider citing our work: 

```bib

@article{wang2021perception,

  title={Perception matters: Exploring imperceptible and transferable anti-forensics for GAN-generated fake face imagery detection},

  author={Wang, Yongwei and Ding, Xin and Yang, Yixin and Ding, Li and Ward, Rabab and Wang, Z Jane},

  journal={Pattern Recognition Letters},

  volume={146},

  pages={15--22},

  year={2021},

  publisher={Elsevier}

}

```