Face Anti-Spoofing
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Benchmarks
SiW (Protocol 3)
CelebA-Spoof-Enroll5
SiW-Enroll5
OULU-NPU
Replay-Attack
MSU-MFSD
CASIA-MFSD
MLFP
Most implemented
Deep Residual Learning for Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection
Learning Generalized Spoof Cues for Face Anti-spoofing
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
Papers
Primitive-Driven Compositional Forensic Visual Prompting for Open-World Face Anti-Spoofing
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 types absent from training. Existing prom…
Domain GeneralizationFace Anti-SpoofingMS-MFAD : Multimodal large language models for Face Anti-spoofing Detection
Facial biometric recognition systems currently face compound threats intertwining generative AI and high-fidelity physical spoofing. Existing defenses suffer from systemic bottlenecks, including poor generalization, non-…
Face Anti-SpoofingFAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing
Face anti-spoofing (FAS) is increasingly expected to provide not only bona fide/spoof decisions, but also attack semantics and image-grounded evidence for human inspection. Existing discriminative FAS models remain large…
Face Anti-SpoofingDINO-VPT: Hierarchical Visual Prompt Tuning for Joint Physical-Digital Face Anti-Spoofing
With the increasing diversity of spoofing attacks, there is a growing demand for unified Face Anti-Spoofing (FAS) models capable of detecting both physical and digital threats. While existing Vision-Language Models (VLMs…
Visual Prompt TuningFace Anti-SpoofingArchitectural Bias in Face Presentation Attack Detection: A Comparative Study of Vision Transformers and Convolutional Neural Networks
Face Presentation Attack Detection (PAD) systems constitute a critical security layer in biometric authentication; however, existing approaches exhibit systematic performance disparities across demographic groups, dispro…
Face Presentation Attack DetectionFace Anti-SpoofingMMDG-Bench: A Benchmark for Multimodal Domain Generalization
Multi-modal Domain Generalization (MMDG) seeks to leverage complementary modalities to enhance model robustness on unseen domains. Despite extensive progress in Multi-modal Learning (MML) and Domain Generalization (DG) a…
Domain GeneralizationFace Anti-SpoofingAction Recognition