4 papers · 1 filter
Primitive-Driven Compositional Forensic Visual Prompting for Open-World Face Anti-Spoofing
Fangling Jiang, Qi Li, Bing Liu +4
Open-world face anti-spoofing must address both covariate and semantic shifts: source and target domains differ in imaging conditions, while target domains contain diverse attack t…
Exploring Task-Solving Paradigm for Generalized Cross-Domain Face Anti-Spoofing via Reinforcement Fine-Tuning
Fangling Jiang, Qi Li, Weining Wang +3
Recently the emergence of novel presentation attacks has drawn increasing attention to face anti-spoofing. However, existing methods tend to memorize data patterns from the trainin…
Learning Unknown Spoof Prompts for Generalized Face Anti-Spoofing Using Only Real Face Images
Fangling Jiang, Qi Li, Weining Wang +3
Face anti-spoofing is a critical technology for ensuring the security of face recognition systems. However, its ability to generalize across diverse scenarios remains a significant…
Learning Knowledge-based Prompts for Robust 3D Mask Presentation Attack Detection
Fangling Jiang, Qi Li, Bing Liu +4
3D mask presentation attack detection is crucial for protecting face recognition systems against the rising threat of 3D mask attacks. While most existing methods utilize multimoda…