The undeniable convenience of face-recognition (FR) based biometrics has made it an attractive tool for access control in various applications, from immigration-control to remote banking. Widespread adopti on of face biometrics, however, depends on the how secure such systems are perceive d to be. One particular vulnerability of FR systems comes from presentation attacks (PA), where a subject A attempts to impersonate another subject B, by presenting, for example, a photograph of B to the biometric sensor (i.e., the camera). PAs are the most likely forms of attacks on face biometric systems, as the camera is the only component of the biometric system that is exposed to the outside world. Robust presentation attack detection (PAD) methods are necessary to construct secure FR based access control systems. The first edition of the Handbook of Biometric Anti-spoofing included two chapters on face-PAD. In this chapter we present the significant advances in face-PAD research since the publication of the first edition of this book. In addition to PAD methods designed to work with color images, we also discuss advances in face-PAD methods using other imaging modalities, namely, near-infrared (NIR) and thermal imaging. This chapter also presents a number of recently published datasets for face-PAD experiments.