Titlebook: Handbook of Biometric Anti-Spoofing; Presentation Attack Sébastien Marcel,Julian Fierrez,Nicholas Evans Book 2023Latest edition The Editor

擋泥板

得體

Corroborate

懶鬼才會衰弱

Robust Face Presentation Attack Detection with Multi-channel Neural Networks Specifically, we present different architecture choices for fusion, along with ad hoc loss functions as opposed to standard classification objective. We conduct an extensive set of experiments in the HQ-WMCA dataset, which contains a wide variety of attacks and sensing channels together with challe

Sinus-Rhythm

Generalizing Voice Presentation Attack Detection to?Unseen Synthetic Attacks and?Channel Variationel-robust training strategies, including data augmentation, multi-task learning, and adversarial learning. In this chapter, we analyze the two issues within the scope of synthetic attacks, i.e., TTS and VC, and demonstrate the effectiveness of our proposed methods.

labyrinth

補角

驚惶

少量

Time Shaping for Business Successtest three competitions focused on evaluating domain and attack type generalization abilities of face PAD algorithms operating on conventional colour images and videos. We also discuss the lessons learnt from the competitions and future challenges in the field in general.

OMIT