Multiattention-Net: A Novel Approach to Face Anti-Spoofing with Modified Squeezed Residual Blocks

Introducing a novel Attack-agnostic Face Anti-spoofing framework, this paper addresses the challenge of determining the authenticity of a captured face in face recognition systems. Current methods, trained on existing fake faces, often lack generalization and perform poorly against unseen attacks. The proposed framework presents a fresh approach to face anti-spoofing, leveraging modified squeezed…