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The “Current Computer Science (CUCS) journal has posted a ‘call
for
<div class="moz-forward-container">papers’ regarding the special
issue: “Homomorphic Data Analysis and<br>
Machine Learning”<br>
<br>
More details in the web site:<br>
<a class="moz-txt-link-freetext"
href="https://www.eurekaselect.com/call-for-papers-detail/6163/specialissue"
moz-do-not-send="true">https://www.eurekaselect.com/call-for-papers-detail/6163/specialissue</a><br>
<br>
The main goal of this special issue is to explore homomorphic
encryption<br>
techniques for data processing and data analysis in pattern
recognition<br>
tasks. It is a standard thematic issue. Hence, no page charges
will be<br>
levied on the contributing authors of this thematic issue.<br>
<br>
Potential topics include but are not limited to the following:<br>
<br>
a) Homomorphic encryption and machine learning<br>
<br>
b) Deep architectures working on encrypted data<br>
<br>
c) Statistical data analysis for data encrypted through
homomorphic<br>
schemes<br>
<br>
d) Homomorphic techniques for image and video processing<br>
<br>
e) Database systems based on homomorphic encryption schemes<br>
<br>
f) Topological data analysis in homomorphic encrypted databases<br>
<br>
g) Software engineering for data analysis based on homomorphic<br>
encryption<br>
<br>
h) Learning topology and manifolds for data encrypted through<br>
homomorphic techniques<br>
<br>
I) Federated Learning<br>
<br>
j) Security and Privacy for Artificial Intelligence<br>
<br>
k) Artificial Intelligence for Security and Privacy<br>
<br>
Submission Deadline: 03 December, 2024<br>
<br>
Authors are advised to submit their manuscripts via the
journal's<br>
manuscript submission portal for editorial processing and peer
review by<br>
first getting themselves registered on the Manuscript Processing
System<br>
(MPS) via the link: <span
style="font-family: arial, sans-serif;"><a
style="color: blue;"
href="https://jxwcy653.r.eu-west-1.awstrack.me/L0/https:%2F%2Fbentham.manuscriptpoint.com%2Fjournals%2Fcchts/1/010201909c67492f-07f8dfdb-2a3b-40f4-9181-6024223969b3-000000/KD8Mmca_LJNToFXRR3pfLbTJ0WE=382"
moz-do-not-send="true">https://bentham.manuscriptpoint.com/journals/cchts</a>,
using the Hot Topic Code: <strong>BMS-CUCS-2024-HT-1</strong></span><br>
<br>
Section Editor: Gilson Antonio Giraldi<br>
<br>
Affiliation: National Laboratory for Scientific Computing,
Petropolis,<br>
Brazil<br>
<br>
Email: <a
class="moz-txt-link-abbreviated moz-txt-link-freetext"
href="mailto:gilson@lncc.br" moz-do-not-send="true">gilson@lncc.br</a><br>
<br>
Guest Editors:<br>
<br>
Luiz Antônio Pereira Neves<br>
<br>
Affiliation: Federal University of Paraná<br>
<br>
Email: <a
class="moz-txt-link-abbreviated moz-txt-link-freetext"
href="mailto:lapneves@gmail.com" moz-do-not-send="true">lapneves@gmail.com</a><br>
<br>
Fábio Borges de Oliveira<br>
<br>
Affiliation: National Laboratory for Scientific Computing<br>
<br>
Email: <a
class="moz-txt-link-abbreviated moz-txt-link-freetext"
href="mailto:borges@lncc.br" moz-do-not-send="true">borges@lncc.br</a><br>
<br>
Bruno Richard Schulze<br>
<br>
Affiliation: National Laboratory for Scientific Computing<br>
<br>
Email: <a
class="moz-txt-link-abbreviated moz-txt-link-freetext"
href="mailto:schulze@lncc.br" moz-do-not-send="true">schulze@lncc.br</a><br>
<br>
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