The 2nd International Workshop on Deep Learning for Biometrics and its Applications (DL4BA) will be held at Phoenix, Arizona, USA, in hybrid mode, from 14 to 17 december 2025, in conjunction with the IEEE International Conference on Big Data (IEEE BigData 2026, https://bigdataieee.org/BigData2026/).

Overview

Biometrics has become a burgeoning research area due to the industrial and government needs for authentication, identification, security, and privacy concerns. Biometric technology has become useful solution for various applications including access control, surveillance and privacy, hardware security and forensics. During last decade, Deep Learning (DL) has received a great attention to solve difficult and complex problems in various domains. Its ability to automatically learn features from big data has made it a major asset.This workshop aims to present and discuss the recent advances on deep learning applied to biometrics providing innovative solutions to challenging problems in biometrics. It is an opportunity to bring researchers and experts together to discuss the current and future state of biometrics.

Topics of interest include, but are not limited to, the following:

- DL for biometrics-based authentication and identification
- Deep biometric feature extraction
- Deep biometric feature fusion
- DL for biometric data analytics (signal, image, video, ...)
- DL for biometric spoofing and deepfake detection
- DL for big data challenges in biometrics
- DL for multimodal biometrics
- DL for soft biometrics
- DL for forensic biometrics
- DL for biometric security and privacy
- Leveraging DL techniques for biometrics
- Generative AI in biometrics
- Federated learning in biometrics
- Related applications

Important Dates

Oct. 1, 2026 (11:59 pm CST): Due date for full workshop papers submission
Nov. 4, 2026: Notification of paper acceptance to authors
Nov. 25, 2026: Camera-ready of accepted papers
Dec 14-17, 2026: Workshops

Paper submission

Please submit a full-length paper (up to 10 pages IEEE 2-column format including references) or a short-length paper (5 to 7 pages including references) through the online submission system (https://wi-lab.com/cyberchair/2026/bigdata26/index.php)

Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines. See link to "formatting instructions" here : https://www.ieee.org/conferences/publishing/templates.html

Electronic submissions in PDF format are required.

All papers accepted for this workshop will be published in the Workshop Proceedings of IEEE Big Data Conference, made available in the IEEE eXplore digital library.

Online Submission :

https://wi-lab.com/cyberchair/2026/bigdata26/scripts/submit.php?subarea=S02&undisplay_detail=1&wh=/cyberchair/2026/bigdata26/scripts/ws_submit.php

Publication
All accepted papers will be published in the IEEE Big Data proceedings and IEEE Xplore Digital Library.

Contact
Prof. Larbi Boubchir (Workshop Chair)
University of Paris 8, France
E-mail: larbi.boubchir@univ-paris8.fr