jonasricker/diffusion-model-deepfake-detection
[VISAPP2024] Towards the Detection of Diffusion Model Deepfakes
This project helps researchers and data scientists evaluate how well different deepfake detection methods perform. You input various deepfake images (from diffusion models, GANs, etc.) and pre-trained detection models. The output is a performance report showing metrics like AUROC, helping you understand which detectors are most effective against different types of synthetic images.
103 stars. No commits in the last 6 months.
Use this if you need to benchmark and compare existing deepfake detection algorithms against a variety of synthetic image generation techniques, particularly those from diffusion models.
Not ideal if you're looking for a user-friendly, out-of-the-box application to simply detect deepfakes in your everyday media.
Stars
103
Forks
11
Language
Python
License
MIT
Category
Last pushed
Nov 20, 2024
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