The main scope of this chapter is to serve as an introduction to face\npresentation attack detection, including key resources and advances in the\nfield in the last few years. The next pages present the different presentation\nattacks that a face recognition system can confront, in which an attacker\npresents to the sensor, mainly a camera, a Presentation Attack Instrument\n(PAI), that is generally a photograph, a video, or a mask, to try to\nimpersonate a genuine user. First, we make an introduction of the current\nstatus of face recognition, its level of deployment, and its challenges. In\naddition, we present the vulnerabilities and the possible attacks that a face\nrecognition system may be exposed to, showing that way the high importance of\npresentation attack detection methods. We review different types of\npresentation attack methods, from simpler to more complex ones, and in which\ncases they could be effective. Then, we summarize the most popular presentation\nattack detection methods to deal with these attacks. Finally, we introduce\npublic datasets used by the research community for exploring vulnerabilities of\nface biometrics to presentation attacks and developing effective\ncountermeasures against known PAIs.\n