The main scope of this chapter is to serve as an introduction to face presentation attack detection, including key resources and advances in the field 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, to try to impersonate a genuine user. First, we make an introduction of the current status of face recognition, its level of deployment, and its challenges. In addition, we present the vulnerabilities and the possible attacks that a face recognition system may be exposed to, showing that way the high importance of presentation attack detection methods. We review different types of presentation attack methods, from simpler to more complex ones, and in which cases they could be effective. Then, we summarize the most popular presentation attack detection methods to deal with these attacks. Finally, we introduce public datasets used by the research community for exploring vulnerabilities of face biometrics to presentation attacks and developing effective countermeasures against known PAIs.
翻译:本章的主要范围是作为面对面攻击探测的介绍,包括过去几年中的关键资源和实地进展;下几页介绍面部识别系统可能面对的不同攻击,攻击者向感应器,主要是摄像头、演示攻击工具(PAI),通常是照片、录像或面具,试图冒充真正的使用者;首先,我们介绍面部识别现状、部署程度及其挑战;此外,我们介绍面部识别系统可能暴露的脆弱性和可能的攻击,表明演示攻击探测方法的高度重要性;我们审查从简单到复杂、在可能有效的情况下,不同类型的演示攻击方法;然后,我们总结最受欢迎的攻击探测方法,以应对这些攻击;最后,我们介绍研究界用来探索面对生物鉴别技术的脆弱性,以展示攻击和制定针对已知的辅助攻击措施的有效对策的公开数据集。