The International Workshop on Large Language Models for Cybersecurity (LLMCS 2024)

26-29 November, 2024 | Dubai, UAE

Colocated with

The 2nd International Conference on Foundation and Large Language Models (FLLM2024)

The International Workshop on Large Language Models for Cybersecurity (LLMCS 2024)

Call for Papers

Recent advancements in Generative Artificial Intelligence have revolutionized the landscape of content creation and have significantly changed how content is conceptualized, developed, and delivered across various industries. Large Language Models (LLMs), such as BERT, T5, ChatGPT, GPT-4, Falcon 180B, and Codex, have influenced most disciplines of science and technology that support content generation in diverse applications, including cybersecurity. In cybersecurity, LLMs represent a dual-purpose tool. On the one hand, they empower malicious actors to identify vulnerabilities and enhance attack strategies. Conversely, they empower security teams to fortify defenses, identify threats, and effectively streamline risk management and operational processes. Despite the anticipated widespread adoption of these LLMs, our understanding of their full impact on cybersecurity still needs to be completed. There is a critical need to assess how they contribute to the discovery of vulnerabilities comprehensively, the development of new attack tactics and techniques, the creation of complex malware patterns, the identification of potential threats, and the mitigation of risks through automated vulnerability remediation

We invite the submission of original papers on all topics related to LLMs and cybersecurity, with special interest in but not limited to:

  • LLMs-empowered defensive strategies
  • Offensive approaches using LLMs
  • LLMs and cybercrime laws
  • Chatbot software/Apps (BERT, T5, ChatGPT, GPT-4, Falcon 180B , ...) impact on cybersecurity education
  • LLM for creating cybersecurity policies
  • Security of LLM-generated code
  • LLMs-driven threat modeling
  • LLMs for Solving Offensive Security Challenges such as Capture the Flag
  • Reliability Issues of using LLMs in the cybersecurity contex
  • LLMs for generation and analysis of Cyber Threat Intelligence (CTI)
  • Privacy issues of LLMs and privacy-preserving LLMs
  • Generating Adversarial machine learning examples using LLMs
  • LLMs driven threat prevention
  • LLMs based cybersecurity awareness framework

Organization Committee

  • Muna Al-Hawawreh, Deakin University, Australia (
  • Mohammad Saidur Rahman, RMIT University, Australia (
  • Aws Naser, KTH University, Sweeden (
  • Giordano Colò, CY4GATE, Italy (


FLLM2024 Keynote at

Authors Submission Guidelines:

Submission Site:

Paper format

Submitted papers (.pdf format) must use the A4 IEEE Manuscript Templates for Conference Proceedings. Please remember to add Keywords to your submission.


Submitted papers may be 6 to 8 pages. Up to two additional pages may be added for references. The reference pages must only contain references. Overlength papers will be rejected without review.


Papers submitted to GenAISE must be the original work of the authors. The may not be simultaneously under review elsewhere. Publications that have been peer-reviewed and have appeared at other conferences or workshops may not be submitted to GenAISE. Authors should be aware that IEEE has a strict policy with regard to plagiarism The authors' prior work must be cited appropriately.

Author list

Please ensure that you submit your papers with the full and final list of authors in the correct order. The author list registered for each submission is not allowed to be changed in any way after the paper submission deadline.


Please proofread your submission carefully. It is essential that the language use in the paper is clear and correct so that it is easily understandable. (Either US English or UK English spelling conventions are acceptable.)


All accepted papers in GenAISE 2024 and FLLM 2024 will be submitted to IEEEXplore for possible publication.


The program will be announced with the FLLM 2024 program at


For venue and acomodoation information, please visit


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