GAN-generated image detection based on CNNs

Related tags

Deep Learning forensics gan image-forensics
Overview

GAN-image-detection

This repository contains a GAN-generated image detector developed to distinguish real images from synthetic ones.

The detector is based on an ensemble of CNNs. The backbone of each CNN is the EfficientNet-B4. Each model of the ensemble has been trained in a different way following the suggestions presented in this paper in order to increase the detector robustness to compression and resizing.

Run the detector

Prerequisites

  1. Create and activate the conda environment
conda env create -f environment.yml
conda activate gan-image-detection
  1. Download the model's weights from this link and unzip the file under the main folder
wget https://www.dropbox.com/s/g1z2u8wl6srjh6v/weigths.zip
unzip weigths.zip

Test the detector on a single image

We provide a simple script to obtain the model score for a single image.

python gan_vs_real_detector.py --img_path $PATH_TO_TEST_IMAGE

Performance

We provide a notebook with the script for computing the ROC curve for each dataset.

How to cite

Training procedures have been carried out following the suggestions presented in the following paper.

Plaintext:

S. Mandelli, N. Bonettini, P. Bestagini, S. Tubaro, "Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision", IEEE International Workshop on Information Forensics and Security (WIFS), 2020, doi: 10.1109/WIFS49906.2020.9360903.

Bibtex:

@INPROCEEDINGS{mandelli2020training,
  author={Mandelli, Sara and Bonettini, Nicolò and Bestagini, Paolo and Tubaro, Stefano},
  booktitle={IEEE International Workshop on Information Forensics and Security (WIFS)}, 
  title={Training {CNNs} in Presence of {JPEG} Compression: Multimedia Forensics vs Computer Vision}, 
  year={2020},
  doi={10.1109/WIFS49906.2020.9360903}}

Credits

Image and Sound Processing Lab - Politecnico di Milano

  • Sara Mandelli
  • Nicolò Bonettini
  • Paolo Bestagini
  • Stefano Tubaro
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Comments
  • The meaning of

    The meaning of "score"?

    Hello! Sorry for such stupid question, but what "score" actually means? I guess it's not a normalized probability and sometimes goes negative. I happened to get values -11.61, 0.95, 1.02, .... Do lower (left?) values mean image being synth and higher mean image being real? What are value boundaries? Is it even possible to normalize values? Thanks in advance!

    opened by SlausB 2
  • Could you explain the meaning of model score?

    Could you explain the meaning of model score?

    Hi, I try your GAN-generated image detector on a query image, it outputs a score. I don't find the explanation of the score, so I wonder whether higher score is better or not.

    opened by ElaineGxy 2
  • User of this model commercially in a product

    User of this model commercially in a product

    Hello,

    I’m building a product and would like to know about the licensing for this model. I would like to add it to my product. Can you please add licensing information to this repo or direct us to someone that can help with this?

    Thank you!

    opened by alishahriyari 1
Owner
Image and Sound Processing Lab
Image and Sound Processing Lab
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