5th International Conference on Machine Learning for Cyber
Security
Yanuca Island, Fiji
| 4-6 Dec 2023
The 5th International Conference on Machine Learning for Cyber
Security (ML4CS 2023) seeks submissions presenting novel
contributions related to all theoretical and practical aspects
related to Machine learning/AI and Cybersecurity and their
applications. The aim of ML4CS is to provide a leading-edge
forum to foster interaction between researchers and developers
with the cybersecurity and AI communities, and to give attendees
an opportunity to interact with experts in academia, industry,
and governments. Authors of each accepted paper must ensure that
at least one author registers for the conference, and that their
is presented in-person only at the conference.
Since the first ML4CS held in Melbourne 2018, ML4CS has been
successfully held in: Xi’an, China (2019), and Guangzhou, China
(2020 and 2022). This year we have ML4CS held in the beautiful
Fiji Islands.
Topics of interest include but are not limited to:
Authors are invited to submit original papers: they must not
substantially duplicate work that any of the authors have
published elsewhere or have submitted in parallel to any other
conferences that have proceedings or any journal. The submission
must be anonymous, with no author names, affiliations,
acknowledgements, or obvious references. Original contributions
are invited up to 16 pages in length (single column) excluding
appendices and bibliography and up to 20 pages in total, using
at least 11-point fonts and with reasonable margins. Submissions
not meeting the submission guidelines risk rejection without
consideration of their merits. All submissions must be received
by 11:59 PM AoE (UTC-12) on the day of the corresponding
deadline.
We will publish our proceedings with Springer as a volume of the
Lecture Notes in Computer Science (LNCS) series. Author
instructions and LaTeX/Word templates for LNCS publications can
be found via the following link.
Springer LNCS Author Information
Please note that at least one author of each accepted paper should register with full rate to the conference and give a presentation at the conference. Failure to register or absence from the presentation will eventually make your paper NOT being included in the conference proceedings.
The proceedings of ML4CS 2023 will be published by Springer as a volume of the Lecture Notes in Computer Science (LNCS) series (Pending), and indexed by EI Compendex.
The previous edition of ML4CS proceedings on SpringerLink can be accessd through the following links.
The Springer copyright form for ML4CS 2023 is available at the following link.