4 accepted papers
Using printed photograph and replaying videos of biometric modalities, such as iris, fingerprint and face, are common attacks to fool the recognition systems for granting access as the genuine user. With the growing online person-to-person shopping (e.g., Ebay and Craigslist), such attacks also thre…
Prior studies show that the key to face anti-spoofing lies in the subtle image pattern, termed “spoof trace”, e.g., color distortion, 3D mask edge, Moir´e pattern, and many others. Designing a generic anti-spoofing model to estimate those spoof traces can improve not only the generalization of the s…
Detecting manipulated facial images and videos is an increasingly important topic in digital media forensics. As advanced face synthesis and manipulation methods are made available, new types of fake face representations are being created which have raised significant concerns for their use in socia…
Face anti-spoofing is designed to keep face recognition systems from recognizing fake faces as the genuine users. While advanced face anti-spoofing methods are developed, new types of spoof attacks are also being created and becoming a threat to all existing systems. We define the detection of unkno…