Call For Paper

The 8th International Conference on Machine Learning for Cyber Security (ML4CS 2026) seeks submissions presenting novel contributions related to all theoretical and practical aspects related to Machine learning/AI and Cybersecurity research. 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 the paper is presented 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). Nadi, Fiji (2023), and Hangzhou, China (2024 and 2025). This year we have ML4CS held in the beautiful Fiji.

Topics of interest include but are not limited to:

• Machine learning/AI for:
  • network security
  • system security
  • software security
  • hardware security
  • cyber physical systems security
  • blockchains and distributed ledger security
  • cloud computing security
  • threat intelligence and detection
  • cybersecurity situational awareness
  • data security and privacy
  • cybersecurity forensic analysis
  • the analysis of (cyber)crime, e.g., biometrics, deepfakes
  • IoT and Industry 4.0/5.0
  • vulnerability analysis and penetration testing
  • malware, anomaly, and intrusion detection
• Adversarial machine learning
• Robustness of AI models against malicious actions
• Privacy inference attacks against deep learning systems, e.g., membership inference, model extraction, model inversion
• Security and privacy in on-device deep learning systems and applications
• Security and privacy in social networks
• Big data analytics for security
• Interpretability and Explainability of machine learning models in cybersecurity
• Privacy preserving machine learning and data mining
• Trustworthy machine learning
• Deep learning for automated recognition of novel threats
• Graph representation learning in cybersecurity
• Informed machine learning for cybersecurity
• User and entity behaviour modelling and analysis
• Human-centered security and privacy
• Content-driven security policy management & access control
• Hate, harassment, and online abuse
• Generative AI and LLMs for cybersecurity
• Security and safety of generative AI
• Security and privacy of AI agents
• AI governance, regulation, compliance and ethics in cybersecurity

Special Track: Vision Track

This track is designed for invited submissions led by senior cybersecurity researchers and leaders from academia, government, and industry. It aims to provide an environment for:

• Sharing visionary and forward-looking ideas at the intersection of AI/ML and cybersecurity
• Building new networks and strengthening collaboration across Pacific-Asia and beyond
• Identifying emerging research challenges and exploring new funding opportunities
• Discussing research translation priorities and community needs

Please note the Vision Track has the following additional requirements:

• At least one primary author must be a Professor, Associate Professor, or equivalent (academic/industry). This author must attend and present the paper in person.
• The paper may have other authors at any career stage.
• Submissions will undergo light-touch review to provide constructive feedback.
• The paper must include a clear visionary element (e.g., an agenda, roadmap, or new research direction).
• Accepted Vision Track papers will be presented during the Vision Track sessions at ML4CS 2026.

Paper Submission Information

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

ML4CS 2026 Submission Link

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 2026 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.

Camera-Ready Paper Submission

The camera-ready PDF and the signed copyright form must be submitted by 17 June 2026, 23:59 AoE.

Please note that the paper you submit is the final version for proceedings preparation. It is expected that all copyright issues have been resolved, all references have been carefully checked, and the authors listed in the paper are the final authors.

1. Authors are encouraged to carefully take the reviewers' comments into account and improve the paper where appropriate when preparing the camera-ready version.
2. The author list must be consistent with the accepted submission and the author metadata in EasyChair. Authors should not be added, deleted, or reordered at the camera-ready stage.
3. All figures and tables should be properly cross-referenced in the text.
4. Please note that Springer does not support color in text, tables, or equations. Please avoid using colored text or color-dependent explanations in the final version.
5. The template for the camera-ready paper is the same as that used for the initial submission. Authors should make sure that all author information is included in the final version. Authors are also strongly encouraged to include ORCID IDs in superscript next to their names, following the examples in the Springer LNCS LaTeX template. Acknowledgement information may also be added, if applicable.
6. For conditionally accepted papers, the formatting issues mentioned in the conditional acceptance notification must be addressed in the camera-ready version.

Submission via EasyChair

To upload your camera-ready files, please log in to EasyChair and access the list of your submissions for ML4CS 2026.

Click on the "View" icon for the paper whose camera-ready version you would like to upload, and then click "Add or Update files" in the top-right corner.

Please upload the following two files:

1. Camera-ready PDF
2. Signed copyright form

Please make sure that the uploaded files are complete and correct.

Camera-Ready PDF

This is the final version of your paper for proceedings preparation. Please make sure that all the requirements listed above are met before submission.

Signed Copyright Form

Please download and complete the copyright form, formally titled the Springer Nature Licence to Publish form:

Download the ML4CS 2026 Copyright Form

The corresponding author must sign the form on behalf of all authors of the paper, having gained their permission to do so. The corresponding author accepts responsibility for releasing the material on behalf of all co-authors.

Please note:

1. One copyright form is required for each accepted paper.
2. The corresponding author should match the corresponding author marked in the header of the final paper.
3. Please do not use digital signatures on the licence-to-publish forms. Please print the form, sign it, and scan it as a PDF.
4. Please leave "Edition ID" and "PS" blank.

Journal Recommendations

Selected papers presented at the ML4CS 2026 will be invited to consider submission (after significant extension) for special issues or topical selections in the following journals:

More journal special issues or topical selections will be announced soon.