The IEEE Biometrics Council supports work in biometric technology by focusing on advancements in the theory, design and application of biometric characterization of human beings based on the physiological and/or behavioral features and traits for: Identification, Identity verification, Authentication, Encryption and Recognition. The Biometrics Council sponsors a number of publications, conferences and events that provide participants the opportunity to publish and collaborate on research, network with colleagues, stay current on news and events, develop standards, and participate in educational activities.

With the diversity of biometric applications in our daily life, increasing attention has been paid to its security and trustworthiness. Many new problems such as deepfakes and adversarial attacks, pose new threats to the existing biometrics. Therefore, we establish Trustworthy Biometrics Webinar, supported by IEEE Beijing Section Biometrics Council Chapter, to provide an international platform for researchers who are concerned about biometric security. We welcome more people from all over the world to join us, to explore more trustworthy biometrics in the future.

 

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Upcoming Events

The 19th Chinese Conference on Biometric Recognition (CCBR 25) will be held in Nanchang from November 21 to 23. CCBR is the premier academic event on biometrics in China, focusing on advancements in theory, applications, and systems for biometric recognition. We welcome researchers and practitioners from all over the world to attend.

call for paper

Committee

Jing Dong
Chapter Chair
Institute of Automation,Chinese Academy of Sciences

Past Events

• Trustworthy Biometrics Webinar

Fighting AI-synthesized fake media, Prof. Siwei Lyu
Realistic Computational Art Rendering and Synthesis, Prof. Ping Li
On the Recent Development of Trustworthy Biometrics, Prof. Xiaoming Liu
Artificial Intelligence for Biometric Technologies and Systems, Prof. Vincenzo Piuri
Attackability Evaluation of Machine Learning Models with Categorical Input, Dr. Yufei Han

• Deepfake Game Competition (DFGC)

The rapid development of DeepFake technology has sparked an adversarial game between content creators and detectors. This competition served as a vital platform to benchmark the state-of-the-art in this ongoing contest. The results provided a comprehensive study of the current DeepFake landscape, helping our research community build stronger, more effective defenses against this evolving technology.

Deepfake Game Competition (DFGC)

Conference