<!DOCTYPE html>
<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
</head>
<body>
<div class="moz-forward-container">
<p><font size="2"><u>[Apologies for multiple postings]</u></font></p>
<div class="widget-content">
<div>
<p><span style="font-size: small;">The International Workshop
on Deep Learning for Biometrics and its Applications
(DL4BA) will be held in Macau, China, from 8 to 11
december 2025, in conjunction with the IEEE International
Conference on Big Data (<a
href="https://conferences.cis.um.edu.mo/ieeebigdata2025/"
moz-do-not-send="true">IEEE BigData 2025</a>).</span></p>
<p><span style="color: #008080; font-size: small;"><a
class="moz-txt-link-freetext"
href="https://dl4ba2025.sciencesconf.org/"
moz-do-not-send="true">https://dl4ba2025.sciencesconf.org/</a></span></p>
<p><span style="color: #008080; font-size: small;"><strong>Overview</strong></span></p>
<p style="text-align: justify;"><span
style="font-size: small;">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.</span></p>
<p style="text-align: justify;"><span
style="color: #008080; font-size: small;"><strong>Topics
of interest include, but are not limited to, the
following:</strong></span></p>
<p><span style="font-size: small;">- DL for biometrics-based
authentication and identification</span><br>
<span style="font-size: small;">- Deep biometric feature
extraction</span><br>
<span style="font-size: small;">- Deep biometric feature
fusion</span><br>
<span style="font-size: small;">- DL for biometric data
analytics (signal, image, video, ...)</span><br>
<span style="font-size: small;">- DL for biometric spoofing
and deepfake detection</span><br>
<span style="font-size: small;">- DL for big data challenges
in biometrics</span><br>
<span style="font-size: small;">- DL for multimodal
biometrics</span><br>
<span style="font-size: small;">- DL for soft biometrics</span><br>
<span style="font-size: small;">- DL for forensic biometrics</span><br>
<span style="font-size: small;">- DL for biometric security
and privacy</span><br>
<span style="font-size: small;">- Leveraging DL techniques
for biometrics</span><br>
<span style="font-size: small;">- Generative AI in
biometrics</span><br>
<span style="font-size: small;">- Federated learning in
biometrics </span><br>
<span style="font-size: small;">- Related applications</span></p>
<p><span style="color: #008080; font-size: small;"><strong>Important
Dates</strong></span></p>
<p><span style="font-size: small;"><span
style="color: #ff0000;"><strong>Oct. 26, 2025</strong>
(11:59 pm CST):</span> Due date for full workshop papers
submission</span><br>
<span style="font-size: small;"><span
style="color: #ff0000;">Nov. 15, 2025:</span>
Notification of paper acceptance to authors</span><br>
<span style="font-size: small;"><span
style="color: #ff0000;">Nov. 23, 2025:</span>
Camera-ready of accepted papers</span><br>
<span style="font-size: small;"><span
style="color: #ff0000;">Dec 8-11, 2025:</span> Workshops</span></p>
<p><span style="color: #008080; font-size: small;"><strong>Paper
submission</strong></span></p>
<font size="2">- 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. </font><br>
<font size="2">- Papers should be formatted to IEEE Computer
Society Proceedings Manuscript Formatting Guidelines. See
link to "formatting instructions" here : <span
style="color: #0000ff;"><a
href="https://www.ieee.org/conferences/publishing/templates.html"
moz-do-not-send="true"><span style="color: #0000ff;">https://www.ieee.org/conferences/publishing/templates.html</span></a></span></font><br>
<font size="2">- Electronic submissions in PDF format are
required.</font><br>
<font size="2">- 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.</font><br>
<font size="2"><br>
<span style="color: #008080;"><strong>Online Submission </strong></span><br>
<br>
<span style="color: #0000ff;"><a
href="https://wi-lab.com/cyberchair/2025/bigdata25/scripts/submit.php?subarea=S43&undisplay_detail=1&wh=/cyberchair/2025/bigdata25/scripts/ws_submit.php"
moz-do-not-send="true"><span style="color: #0000ff;">https://wi-lab.com/cyberchair/2025/bigdata25/scripts/submit.php?subarea=S43&undisplay_detail=1&wh=/cyberchair/2025/bigdata25/scripts/ws_submit.php</span></a></span></font></div>
</div>
<p><font size="2"><span style="color: #008080;"><strong>Contact</strong></span></font><br>
<font size="2">Prof. Larbi Boubchir (<i>Workshop Chair</i>)<br>
University of Paris 8, France<br>
E-mail: <a
class="moz-txt-link-abbreviated moz-txt-link-freetext"
href="mailto:larbi.boubchir@univ-paris8.fr"
moz-do-not-send="true">larbi.boubchir@univ-paris8.fr</a></font></p>
<br>
</div>
</body>
</html>