Skip to content
#

deepfake-detection

Here are 239 public repositories matching this topic...

This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. For more details follow the documentaion.

  • Updated Jul 28, 2024
  • Jupyter Notebook

Liveness detection SDK Android - iBeta level 2 compliant 3D passive liveness detection engine which can detect printed photos, video replay, 3D masks, and deepfake threats

  • Updated Oct 24, 2024
  • Java

Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.

  • Updated Dec 7, 2022
  • Jupyter Notebook

3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).

  • Updated Oct 17, 2024
  • C

Improve this page

Add a description, image, and links to the deepfake-detection topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the deepfake-detection topic, visit your repo's landing page and select "manage topics."

Learn more