[ABE-L] Call for Papers: Homomorphic Data Analysis and Machine Learning (Special Issue)

[Gilson Antonio Giraldi]

The “*Current Computer Science (CUCS)* journal has posted a ‘call for 
papers’ regarding the special issue:“Homomorphic Data Analysis and 
Machine Learning”

More details in the web site: 
https://www.eurekaselect.com/call-for-papers-detail/6163/specialissue

The main goal of this special issue is to explore homomorphic encryption 
techniquesfor data processing and data analysis in pattern recognition 
tasks. It is a s*tandard thematic issue*. Hence, *no page charges will 
be levied on the contributing authors of this thematic issue.*

  Potential topics include but are not limited to the following:

  a) Homomorphic encryption and machine learning

b) Deep architectures working on encrypted data

c) Statistical data analysis for data encrypted through homomorphic schemes

d) Homomorphic techniques for image and video processing

e) Database systems based on homomorphic encryption schemes

f) Topological data analysis in homomorphic encrypted databases

g) Software engineering for data analysis based on homomorphic encryption

h) Learning topology and manifolds for data encrypted through 
homomorphic techniques

I) Federated Learning

j) Security and Privacy for Artificial Intelligence

k) Artificial Intelligence for Security and Privacy

*Submission Deadline: 03 December, 2024
*

Authors are advised *to submit their manuscripts* via the journal's 
manuscript submission portal for editorial processing and peer review by 
first getting themselves registered on the Manuscript Processing System 
(MPS) via the link: https://bentham.manuscriptpoint.com/journals/cucs 
<https://bentham.manuscriptpoint.com/journals/cucs>and proceed with 
submission using this Hot Topic Code: *BMS-CUCS-2024-HT-1*.

Section Editor: Gilson Antonio Giraldi

Affiliation: National Laboratory for Scientific Computing, Petropolis, 
Brazil

Email: gilson em lncc.br

/Guest Editors: /

/Luiz Antônio Pereira Neves/

/Affiliation: Federal University of Paraná/

/Email/: /lapneves em gmail.com/ <mailto:lapneves em gmail.com>

/Fábio Borges de Oliveira/

/Affiliation: National Laboratory for Scientific Computing/

/Email/: /borges em lncc.br/ <mailto:borges em lncc.br>

/Bruno Richard Schulze/

/Affiliation: National Laboratory for Scientific Computing/

/Email/: /schulze em lncc.br/
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