The most secure papers propose combining face data with other biometrics like fingerprints or finger veins to ensure the "Real Face" is actually attached to a live person.
Training a "Discriminator" to find the loss function differences between high-fidelity synthetic faces and authentic human images. 3. Key Findings in "Real Face" Research 4 : Real Face
Papers involving this classification typically utilize specific detection methods: The most secure papers propose combining face data
