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<p class="MsoNormal" style="line-height:106%;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span>[Apologies if you got multiple copies of this
invitation]<span></span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:16pt;line-height:106%">The
International Workshop on Large Language Models for Cybersecurity (<a name="m_5536587974581147174_m_-8778376527118079774__Hlk170395078">LLMCS</a> 2024)<span></span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:14pt;line-height:106%">Co-Located
with<span></span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:14pt;line-height:106%"><span> </span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><a href="https://fllm2024.fllm-conference.org/index.php" style="color:rgb(5,99,193);text-decoration:underline" target="_blank"><span style="font-size:14pt;line-height:106%">The 2nd International Conference on Foundation
and Large Language Models (FLLM2024)</span></a><span style="font-size:14pt;line-height:106%"> <span></span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:14pt;line-height:106%"><span> </span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><a href="https://fllm2024.fllm-conference.org/Workshops/LLMCS2024/" style="color:rgb(5,99,193);text-decoration:underline" target="_blank"><span style="font-size:12pt;line-height:106%">https://fllm2024.fllm-conference.org/Workshops/LLMCS2024/</span></a><span style="font-size:12pt;line-height:106%"><span></span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:14pt;line-height:106%;color:black"><span> </span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:14pt;line-height:106%;color:black">26-29 November, 2024 | Dubai, UAE <span></span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:14pt;line-height:106%;color:red">Technically Co-Sponsored by IEEE </span><span style="font-size:12pt;line-height:106%"> </span><span style="font-size:14pt;line-height:106%;color:red">UAE Section </span><span style="font-size:14pt;line-height:106%"><span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><b><u><span style="font-size:14pt;font-family:"Times New Roman",serif">LLMCS 202<span style="color:black">4</span>
CFP:</span></u></b><span><span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",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<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">We invite the submission of original
papers on all topics related to LLMs and cybersecurity, with special interest
in but not limited to:<b><span></span></b></span></p>
<ul type="disc" style="margin-bottom:0in"><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">LLMs-empowered defensive strategies<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Offensive approaches using LLMs<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">LLMs and cybercrime laws<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Chatbot software/Apps (BERT, T5, ChatGPT, GPT-4, Falcon
180B , ...) impact on cybersecurity education<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">LLM for creating cybersecurity policies<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Security of LLM-generated code<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">LLMs-driven threat modeling<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">LLMs for Solving Offensive Security Challenges such as
Capture the Flag<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Reliability Issues of using LLMs in the cybersecurity
contex<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">LLMs for generation and analysis of Cyber Threat
Intelligence (CTI)<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Privacy issues of LLMs and privacy-preserving LLMs<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Generating Adversarial machine learning examples using
LLMs<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">LLMs driven threat prevention<span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">LLMs based cybersecurity awareness framework<span></span></span></li></ul>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><b><u><span style="font-size:12pt;font-family:"Times New Roman",serif">Submissions Guidelines and
Proceedings</span></u></b><span><span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 12pt;text-align:justify;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;line-height:106%;font-family:"Times New Roman",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 6 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. <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;text-align:justify;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><u><span style="font-size:13.5pt;line-height:106%;color:black"></span></u><b><u><span style="font-size:12pt;line-height:106%;font-family:"Times New Roman",serif">Important Dates:</span></u></b><span style="font-family:"Calibri Light",sans-serif"><span></span></span></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-size:12pt;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><span style="font-size:14pt;font-family:"Calibri Light",sans-serif"><span></span></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></span></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></span></span></li></ul>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-family:"Calibri Light",sans-serif"><span> </span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><b><u><span style="font-size:12pt;line-height:106%;font-family:"Calibri Light",sans-serif">Contact:</span></u></b><span style="font-family:"Calibri Light",sans-serif"><span></span></span></p>
<p class="MsoNormal" style="line-height:106%;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:13.5pt;line-height:106%;font-family:"Calibri Light",sans-serif">Please send any inquiry to<span style="color:black"></span>: </span><a href="mailto:emergingtechnetwork@gmail.com" style="color:rgb(5,99,193);text-decoration:underline" target="_blank"><span style="font-size:13.5pt;line-height:106%;font-family:"Calibri Light",sans-serif;color:black"></span></a><span style="font-size:13.5pt;line-height:106%;font-family:"Calibri Light",sans-serif;color:black"></span><span style="font-family:"Calibri Light",sans-serif"> </span><span style="font-size:13.5pt;line-height:106%;font-family:"Calibri Light",sans-serif">Muna
Al-Hawawreh (<a href="mailto:Muna.alhawawreh@deakin.edu.au" target="_blank">Muna.alhawawreh@deakin.edu.au</a>)</span><span style="font-size:12pt;line-height:106%;font-family:"Calibri Light",sans-serif"><span></span></span></p>
<p class="MsoNormal" style="line-height:106%;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="color:black"></span><span><span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span> </span></p>
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