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

馬具

intercede

Introduction to Presentation Attack Detection in Face Biometrics and Recent Advances in the last few years. The next pages present the different presentation attacks that a face recognition system can confront, in which an attacker presents to the sensor, mainly a camera, a Presentation Attack Instrument (PAI), that is generally a photograph, a video, or a mask, with the target to

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東西

Robust Face Presentation Attack Detection with Multi-channel Neural Networksave been proposed in the literature for the detection of presentation attacks, majority of these methods fail in generalizing to unseen attacks and environments. Since the quality of attack instruments keeps getting better, the difference between bona fide and attack samples is diminishing making it

Prophylaxis

Review of Face Presentation Attack Detection Competitions state of the art in unimodal and multi-modal face anti-spoofing has been assessed in eight international competitions organized in conjunction with major biometrics and computer vision conferences in 2011, 2013, 2017, 2019, 2020 and 2021, each introducing new challenges to the research community. I

深淵

雜役

A One-class Model for Voice Replay Attack Detection to a binary classification problem. In this article, by analyzing distributions of genuine and replayed speech with a specifically designed database and summarizing the known artifacts in existing datasets, we show the potential shortcomings of the two-class approach in both discrimination and gene

招致

Generalizing Voice Presentation Attack Detection to?Unseen Synthetic Attacks and?Channel Variation, text-to-speech (TTS), and voice conversion (VC) techniques, which may compromise ASV systems. Voice presentation attack detection (PAD) is developed to improve the reliability of speaker verification systems against such spoofing attacks. One main issue of voice PAD systems is its generalization a

HACK

Time Domain Representation of Speech Soundschapter covers both spectrum of CNNs and vision transformers to provide the reader with a one-place reference for understanding the performance of various architectures. Vision transformers provide at par results for the fingerprint PAD compared to CNNs with more extensive training duration suggesti

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Maciej Stolarski,Joanna Witowskaacks. First, we summarize the most popular types of attacks including the main challenges to address. Second, we present a taxonomy of PAD methods as a brief introduction to this very active research area. Finally, we discuss the integration of these methods into iris recognition systems according t