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cs.CV2026
DINOFAS: Bonafide-Centric Representation Learning for Face Anti-Spoofing
Shakeel Muhammad Ibrahim, Muhammad Sohail Ibrahim, Muhammad Shahid Jabbar +1
Face anti-spoofing (FAS) models often learn attack- and dataset-specific cues that degrade performance under unseen acquisition conditions and presentation attacks. We present DINO…
cs.CV2026
Flow Augmentation and Knowledge Distillation for Lightweight Face Presentation Attack Detection
Muhammad Shahid Jabbar, Muhammad Sohail Ibrahim, Taha Hasan Masood Siddique +2
Face presentation attack detection (FacePAD) remains challenging under diverse spoofing representation, including 2D print and replay, 3D mask-based spoofing, makeup-induced appear…