Train a binary classifier to distinguish genuine face images from morphed (blended) images and understand presentation attack detection workflows.
-
Updated
Feb 25, 2026 - Jupyter Notebook
Train a binary classifier to distinguish genuine face images from morphed (blended) images and understand presentation attack detection workflows.
Add a description, image, and links to the morph-attack topic page so that developers can more easily learn about it.
To associate your repository with the morph-attack topic, visit your repo's landing page and select "manage topics."