Call For Paper

The 7th International Conference on Machine Learning for Cyber Security (ML4CS 2025) 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), Guangzhou, China (2020 and 2022)，Yanuca Island, Fiji (2023) and Hangzhou, China (2024). This year we have ML4CS held in the beautiful Hangzhou.

Topics of interest include but are not limited to:

• Machine learning/AI for:
  • blockchain
  • network security
  • system security
  • software security
  • threat intelligence
  • cybersecurity situational awareness
  • data security and privacy
  • cybersecurity forensic analysis
  • biometrics
  • IoT and Industry 4.0/5.0
  • vulnerability analysis
  • malware, anomaly, and intrusion detection
• Adversarial machine learning and the 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
• Interpretability and Explainability of machine learning models in cybersecurity
• Privacy preserving machine learning
• 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

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. Papers must be clearly presented in English, Please ensure that your papers are in the single-column LNCS format, with full papers between 12 to 15 pages, and short papers and poster papers no less than 6 pages. All submissions must be received by 11:59 PM AoE (UTC-12) on the day of the corresponding deadline.

Springer LNCS Author Information

ML4CS 2025 Submission Link

Springer Code of Conduct

Previous ML4CS Proceedings on SpringerLink

Publications

All accepted and presented papers will be published by Springer in the Lecture Notes in Computer Science (LNCS) series., and will be indexed by EI Compendex.