IJCB 2025-Special Session
Privacy-Preserving Biometric:
Advances in Methodologies and Applications
8 - 11 September 2025, Osaka, Japan
Embedded Files
Biometrics has become a fundamental technology for identity authentication, security, medical diagnosis, real-world human-computer interaction, etc. However, the widespread use of biometric systems raises growing concerns about privacy, security, and potential misuse of sensitive data. Therefore, developing privacy-preserving biometrics technologies is critical to ensuring both security and ethical use in real-world applications. In other words, privacy-preserving biometrics has become an essential research area due to increasing concerns over data security, identity protection, authentication, and de-identification in biometric systems. This special session aims to explore the state-of-the-art methodologies and real-world applications that enhance biometrics, while safeguarding personal privacy. The session welcomes innovative research on techniques and novel applications that contribute to the development of privacy-aware biometric systems. We seek to explore the latest technologies, discuss challenges and limitations, and propose innovative solutions to overcome the challenges for the above topics. By highlighting the latest advanced research, we aim to promote the development of Privacy-Preserving Biometrics.
Important Dates
Special session paper submission deadline: July 15, 2025
Decision notification: July 31, 2025
Camera-ready: August 3, 2025
Special Session Date: September 8, 2025
Topics of interest include but not limited to:
Synthetic media technology for privacy-preserving biometric systems
Federated learning and decentralized biometric authentication
Security for biometric data storage, synthesis, and attack detection
Face de-identification methodologies and applications
Privacy-aware facial authentication
Deepfake detection, anti-spoofing techniques and liveness detection
Multi-modal biometric fusion with privacy protection
Novel sensor technologies for detecting biometric manipulation
Medical biometrics with privacy-preserving methodologies and applications
Privacy-aware palmprint, fingerprint, finger-knuckle-print (F-K-P), finger-vein, and hand-vein recognition
Deep learning-based de-identification for palmprint and fingerprint data.
Biometric database with synthesis, attacks, and manipulation
Submission Guideline
Submission site: https://cmt3.research.microsoft.com/IJCB2025
Page limit: 8 pages of main contents (including figures and tables) + references.
For more details, please kindly refer to the official website's requirements. The submission of our special session should also be in accordance with the guidelines from the IJCB2025 official website: https://ijcb2025.ieee-biometrics.org/paper-submission/
Organizers
Associate Professor, Guangdong University of Technology
Dr. Qi Zhang
Assistant Professor,
City University of Macau
Prof. Xing Wu
Professor,
Shanghai University
Detailed Schedule
09:20 – 09:25
Special Session#2 opening remarks
Jianhang Zhou (Shanghai University)
09:25 – 09:38
Mask-guided Cross Palm Attention Network for Palmprint Image Super-Resolution
Kaiting Huang (Guangdong University of Technology); Zhixin Xu (The University of Sydney); Yao Wang (Guangdong University of Technology); Jing Zhang (Guangdong University of Technology);
Lunke Fei (Guangdong University of Technology)*; Jinrong Cui (South China Agricultural University)
09:38 – 09:51
Bio-IL: A Robust Decentralized Biometric Recognition System Using Isomerism Learning with Heterogeneous Models on Private Blockchain
Zhihao Hao (Beijing Technology and Business University)*; Qiqiao He (Foshan University); Chao Chang (National University of Defense Technology); Zhixin Xu (China Industrial Control Systems Cyber Emergency Response Team); Haisheng Li (Beijing Technology and Business University); Jianhua Guo (Beijing Technology and Business University); Junping Du (Beijing University of Posts and Telecommunications)
09:51 – 10:04
Reconstruct and De-identify (RaD): A Joint Task Framework for Face Reconstruction and De-identification Leveraging the 3D Morphable Model Explainability
Allam Shehata (Osaka University, Japan; Electronics Research Institute, Egypt)*; Ammar Alsherfawi (Osaka University); Yasushi Yagi (Osaka University)
10:04 – 10:17
Integrating LLM in Privacy-Sensitive Age Estimation: A Tongue-Based Biometric Framework
Jian Hwee Ang (University of Macau); Aotong Li (University of Macau); Jintao Wang (University of Macau); Bob Zhang (University of Macau)*
10:17 – 10:30
FakeIDet: Exploring Patches for Privacy-Preserving Fake ID Detection
Javier Muñoz-Haro (Universidad Autónoma de Madrid)*; Ruben Tolosana (Universidad Autonoma de Madrid); Ruben Vera-Rodriguez (Universidad Autonoma de Madrid); Aythami Morales (Universidad Autonoma de Madrid); Julian Fierrez (Universidad Autonoma de Madrid
10:30 – 10:43
DAGait: Enhancing Gait Recognition with Dynamic Adversarial Training
Xiaona Zheng (Guangdong university of technology); Qintai Hu (Guangdong university of technology); Shuping Zhao (Guangdong university of technology)*; Jigang Wu (Guangdong university of technology)
10:43 – 10:56
Privacy-preserving Facial-based Diagnosis with Shared-Attention Multitask Learning
Jian Hwee Ang (University of Macau); Jianhang Zhou (Shanghai University)*; Xing Wu (Shanghai University)
10:56 – 11:09
Syn-IDPass: Passport Synthetic Dataset for Presentation Attack Detection
Juan Tapia (hda)*; Fabian Stockhardt (hda); Lazaro-Janier Gonzalez-Soler (hda); Christoph Busch (hda)
11:09 – 11:22
Enhancing Privacy in Face Recognition With Dual-Path Feature Compression and Homomorphic Encryption
Wencheng Yang (University of Southern Queensland)*; Song Wang (La Trobe University); Di Wu (University of Southern Queensland); Zhaohui Tang (University of Southern Queensland); Xu Yang (Minjiang University); Hui Cui (Monash University); Michael Johnstone (Edith Cowan University); Yan Li (University of Southern Queensland)
11:22 – 11:35
Training-free Dimensionality Reduction via Feature Truncation: Enhancing Efficiency in Privacy-preserving Multi-Biometric Systems
Florian Bayer (Hochschule Darmstadt); Maximilian Russo (Hochschule Darmstadt); Christian Rathgeb (Hochschule Darmstadt)*
11:35 – 11:48
Detecting Hyper-Realistic Videos Generated by Diffusion Models via Text-Guided Semantic Enhancement
Hing Ling Shum (The Hong Kong Polytechnic University); Zhenyu Zhou (The Hong Kong Polytechnic University); Ajay Kumar (The Hong Kong Polytechnic University)*
11:48 – 12:01
AirSignatureDB: Exploring In-Air Signature Biometrics in the Wild and its Privacy Concerns
Marta Robledo-Moreno (Universidad Autónoma de Madrid)*; Ruben Vera-Rodriguez (Universidad Autónoma de Madrid); Ruben Tolosana (Universidad Autónoma de Madrid); Javier Ortega-Garcia (Universidad Autónoma de Madrid); Andrés Huergo (Universidad Autónoma de Madrid); Julian Fierrez (Universidad Autónoma de Madrid)
12:01 – 12:14
Computational Lighting and Imaging for Secure Deep Vascular Biometrics
Sunil Reddy Aramreddys (University of missouri Kansas City)*
Page updated
Google Sites
Report abuse