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<p><font size="2"><u>[Apologies for multiple postings]</u></font></p>
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<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/">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/">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"><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"><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>
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<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" href="mailto:larbi.boubchir@univ-paris8.fr">larbi.boubchir@univ-paris8.fr</a></font></p>
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