Machine Learning for Cybersecurity (MLC)

Keynote Speakers

Call For Paper

In the past decades, cybersecurity threats have been among the most significant challenges for social development resulting in financial loss, violation of privacy, damages to infrastructures, etc. Organizations, governments, and cyber practitioners tend to leverage state-of-the-art Artificial Intelligence technologies to analyze, prevent, and protect their data and services against cyber threats and attacks. Due to the complexity and heterogeneity of security systems, cybersecurity researchers and practitioners have shown increasing interest in applying data mining methods to mitigate cyber risks in many security areas, such as malware detection and essential player identification in an underground forum. To protect the cyber world, we need more effective and efficient algorithms and tools capable of automatically and intelligently analyzing and classifying the massive amount of data in cybersecurity complex scenarios. This workshop will focus on empirical findings, methodological papers, and theoretical and conceptual insights related to data mining in the field of cybersecurity.

The workshop aims to bring together researchers from cybersecurity, data mining, and machine learning domains. We encourage a lively exchange of ideas and perceptions through the workshop, focused on cybersecurity and data mining. Topics of interest include, but are not limited to:

Security and privacy of Data Mining
Data mining and AI applications for cybersecurity
Data mining approaches to enhance security and resiliency of cyber systems
Human behavior models with application to cybersecurity
Data mining for cybersecurity software verification and validation
AI tools and techniques to enhance resilience in cybersecurity
AI-enabled automation of cybersecurity tasks
Data-driven cybersecurity Analytics
Uncertainty-based decision making in cybersecurity
Modeling and simulation of cyber systems and system components

We are interested in the new applications of data mining and AI for cybersecurity. Submitted papers will be evaluated based on criteria such as technical originality, creativity, and applicability. Methodological topics of interest include, but are not limited to:

Adversarial machine learning
Cryptography
Large language models
Interpretable deep learning
Multi-view deep learning paradigms
Real-time analytics and deep learning on stream data
Deep Transfer learning
Deep reinforcement learning
Bayesian deep learning
Graph convolutional networks and graph attention networks

Application areas of interest include, but are not limited to:

Malware evasion and detection
Cyber threat detection and modeling
Intrusion detection
Internet of Things (IoT) analysis
AI-enabled security information sharing and automation across multiple data sources
Smart and large-scale vulnerability assessment
Intelligent security systems with human-in-the-loop
Vulnerability detection
Anomaly detection
Dark Web Analytics for CTI applications
IP reputation analysis

Important Dates

Paper Submission Deadline: September 5, 2025
Acceptance Notification: September 18, 2025
Camera-ready Submission: September 25, 2025
Workshop Date: November 12, 2025 (Tentative)

Paper Submission

By the ICDM tradition, All accepted workshop papers will be published in the ICDMW proceedings published by the IEEE Computer Society Press, and will be accessible in the IEEE Computer Society Digital Library (CSDL) and the IEEE Xplore, and indexed by EI.
Submission Format: Paper submissions should be limited to max 8 pages plus 2 extra pages (for references, appendix, etc.) and follow the IEEE ICDM format. All submissions will be triple-blind reviewed by the Program Committee based on technical quality, relevance to scope of the conference, originality, significance, and clarity. The following sections give further information for authors. Please refer to the ICDM 2024 call for papers .
Submission website: Please submit your papers via the Submission Website
Presentation Format: Physical attendance is NOT mandatory this year due to potential visa issues. Remote presentations through Zoom are allowed. Meeting coordinates will be announced later to authors of accepted papers.
Registration is mandatory for accepted papers.

Organizers

Steering Chairs


Ali Babar University of Adelaide	Battista Biggio University of Cagliari	Elisa Bertino Purdue University

Hsinchun Chen University of Arizona	Yang Liu Nanyang Technological University	Xinming (Simon) Ou University of South Florida

Program Chairs


Sin Gee Teo Institute for Infocomm Research	RuiTao Feng Singapore Management University	Reza Ebrahimi University of South Florida


Rouzbeh Behnia University of South Florida	Xiaojun Jia Nanyang Technological University

Publicity Chairs


Yidong Chai Hefei University	Huijing Zhan Singapore University of Social Sciences	Ruofan Liu National University of Singapore