<div dir="ltr"><p class="MsoNormal" style="line-height:105%;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif">[Apologies
if you got multiple copies of this invitation]</p>
<p class="MsoNormal" align="center" style="text-align:center;line-height:105%;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:24pt;line-height:105%">Call for Papers!</span><span style="font-size:12pt;line-height:105%"></span></p>
<p class="MsoNormal" align="center" style="text-align:center;line-height:105%;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif"><b><span style="font-size:13.5pt;line-height:105%">The International Workshop on Large
Language Models for Cybersecurity (LLMCS 2024)-The 2nd International Conference
on Foundation and Large Language Models (FLLM2024) </span></b><span style="font-family:"Times New Roman",serif"></span></p>
<p class="MsoNormal" align="center" style="text-align:center;line-height:105%;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif"><span class="gmail-msohyperlink"><span style="font-size:14pt;line-height:105%;color:rgb(5,99,193)"><a href="https://fllm2024.fllm-conference.org/Workshops/LLMCS2024/" style="color:rgb(5,99,193)">https://fllm2024.fllm-conference.org/Workshops/LLMCS2024/</a></span></span></p>
<p class="MsoNormal" align="center" style="text-align:center;line-height:105%;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:16pt;line-height:105%;color:black">26-29
November, 2024 | Dubai, UAE </span></p>
<p class="MsoNormal" align="center" style="text-align:center;line-height:105%;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:16pt;line-height:105%;color:red">Technically
Co-Sponsored by IEEE </span><span style="font-size:14pt;line-height:105%"> </span><span style="font-size:16pt;line-height:105%;color:red">UAE
Section </span></p>
<p class="MsoNormal" style="margin:0in 0in 7.5pt;text-align:justify;line-height:16.2pt;font-size:11pt;font-family:Calibri,sans-serif">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</p>
<p class="MsoNormal" style="margin:0in 0in 7.5pt;text-align:justify;line-height:16.2pt;font-size:11pt;font-family:Calibri,sans-serif">We invite the submission of original papers on all topics related to
LLMs and cybersecurity, with special interest in but not limited to:</p>
<ul style="margin-top:0in;margin-bottom:0in" type="disc">
<li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif">LLMs-empowered defensive strategies</li>
<li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif">Offensive approaches using LLMs</li>
<li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif">LLMs and cybercrime laws</li>
<li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif">Chatbot software/Apps (BERT, T5, ChatGPT, GPT-4,
Falcon 180B , ...) impact on cybersecurity education</li>
<li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif">LLM for creating cybersecurity policies</li>
<li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif">Security of LLM-generated code</li>
<li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif">LLMs-driven threat modeling</li>
<li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif">LLMs for Solving Offensive Security Challenges such
as Capture the Flag</li>
<li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif">Reliability Issues of using LLMs in the cybersecurity
context</li>
<li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif">LLMs for generation and analysis of Cyber Threat
Intelligence (CTI)</li>
<li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif">Privacy issues of LLMs and privacy-preserving LLMs</li>
<li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif">Generating Adversarial machine learning examples
using LLMs</li>
<li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif">LLMs driven threat prevention</li>
<li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif">LLMs based cybersecurity awareness framework</li>
</ul>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><b><u>Submissions Guidelines and Proceedings</u></b></p>
<p class="MsoNormal" style="margin:0in 0in 12pt;text-align:justify;line-height:105%;font-size:11pt;font-family:Calibri,sans-serif">Manuscripts should be prepared in 10-point font using the IEEE 8.5"
x 11" two-column format. All papers should be in PDF format, and submitted
electronically at Paper Submission Link. A full paper can be up to 8 pages
(including all figures, tables and references). Submitted papers must present
original unpublished research that is not currently under review for any other
conference or journal. Papers not following these guidelines may be rejected
without review. Also submissions received after the due date, exceeding length
limit, or not appropriately structured may also not be considered. Authors may
contact the Program Chair for further information or clarification. All submissions
are peer-reviewed by at least three reviewers. Accepted papers will appear in
the FLLM Proceeding, and be published by the IEEE Computer Society Conference
Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted
papers must include original work, and must not be under consideration for
another conference or journal. Submission of regular papers up to 8 pages and
must follow the IEEE paper format. Please include up to 7 keywords, complete
postal and email address, and fax and phone numbers of the corresponding
author. Authors of accepted papers are expected to present their work at the
conference. Submitted papers that are deemed of good quality but that could not
be accepted as regular papers will be accepted as short papers. </p>
<p class="MsoNormal" style="text-align:justify;line-height:105%;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif"><u><span style="font-size:13.5pt;line-height:105%;color:black"></span><b>Important
Dates:</b></u></p>
<ul style="margin-top:0in;margin-bottom:0in" type="disc">
<li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-family:"Calibri Light",sans-serif;color:black"></span><b><span style="font-size:14pt;font-family:"Calibri Light",sans-serif;color:red">Paper
submission deadline: August 15, 2024</span></b><span style="font-size:14pt;font-family:"Calibri Light",sans-serif;color:red"> </span></li>
<li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:14pt;font-family:"Calibri Light",sans-serif">Notification
of acceptance: October 5, 2024 </span></li>
<li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:14pt;font-family:"Calibri Light",sans-serif">Camera-ready
Submission: October 20, 2024</span></li>
</ul>
<p class="MsoNormal" style="line-height:105%;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-family:"Calibri Light",sans-serif"> </span></p>
<p class="MsoNormal" style="line-height:105%;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif"><b><u><span style="font-family:"Calibri Light",sans-serif">Contact:</span></u></b></p>
<p class="MsoNormal" style="line-height:105%;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif">Please send any inquiry on LLMCS to
Muna Al Hawawreh: <a href="mailto:muna.alhawawreh@deakin.edu.au" target="_blank" style="color:rgb(5,99,193)"><span style="color:windowtext;text-decoration-line:none">muna.alhawawreh@deakin.edu.au</span></a></p>
<p class="MsoNormal" style="line-height:106%;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif"> </p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"> </p></div>