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Face Recognition System Security: Template Protection and Anti-spoofing

Dept. of Computer Science (January 13, 2017)

CONFERENCE / SYMPOSIUM : IAPR/IEEE Winter School on Biometrics

Biometric Data Analysis
Multimodal Biometrics with Auxiliary Information: Quality, User-specific, ...
2D and 3D Face Recognition
Human Identification via Gait Recognition
Hand-Based Biometrics
Recent Progress of Iris Recognition
Mobile Biometrics: Trends and Issues
Deep Learning in Face Analysis
Fingerprint Recognition
Machine Learning for Person Identification
Soft Biometrics and Continuous Authentication
Secure Scalable CCTV, Mobile, and Wearable Video Face Recognition
Biometric Indexing
Face Recognition System Security: Template Protection and Anti-spoofing
LENGTH : 77 min.
ACCESS : Open to all
SUMMARY : This lecture will discuss the security issues on face biometric systems. We will first give an overview of possible attacks in a face biometric system. Two practical attacks namely template attack and spoofing attack will be discussed in depth. So the lecture will be divided into two parts. Part 1 will fo-cus on the face template protection. We will discuss the problems of unprotected face template. Then existing methods in template protection will be reviewed. Finally, we will report our work related to template protection. Part 2 will focus on face spoofing attack. An overview of popular face spoofing attacks and face anti-spoofing algorithms will be given. After that, we will focus on 3D mask attack as well as our recent work on 3D mask anti-spoofing methods.  [Go to the full record in the library's catalogue]

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