Face Presentation Attack Detection
원문 초록
Face recognition technology has been widely used in daily interactive applications such as checking-in and mobile payment due to its convenience and high accuracy. However, its vulnerability to presentation attacks (PAs) limits its reliable use in ultra-secure applicational scenarios. A presentation attack is first defined in ISO standard as: a presentation to the biometric data capture subsystem with the goal of interfering with the operation of the biometric system. Specifically, PAs range from simple 2D print, replay and more sophisticated 3D masks and partial masks. To defend the face recognition systems against PAs, both academia and industry have paid extensive attention to developing face presentation attack detection (PAD) technology (or namely `face anti-spoofing (FAS)').
함께 살펴볼 논문
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FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection
SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining
DiffFAS: Face Anti-Spoofing via Generative Diffusion Models
A visualization method for data domain changes in CNN networks and the optimization method for selecting thresholds in classification tasks
Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing Clues
Leveraging Intermediate Features of Vision Transformer for Face Anti-Spoofing
토론
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