4 citations · 7 across the 6 of their papers we have counts for
7 papers
Small, Free, and Effective: Orchestrating Open-Weight Small Language Models to Outperform Single LLM for Malware Analysis
Adel ElZemity, Shujun Li, Budi Arief
Malware analysis demands rapid interpretation of complex detonation reports spanning filesystem, network, and process behaviours. While large language models (LLMs) demonstrate imp…
APIOT: Autonomous Vulnerability Management Across Bare-Metal Industrial OT Networks
Adel ElZemity, Budi Arief, Shujun Li +6
Operational technology (OT) devices run safety-critical physical processes, yet their security testing remains manual and expert-intensive. Autonomous security agents could ease th…
Cyber Security Educational Games for Children: A Systematic Literature Review
Temesgen Kitaw Damenu, İnci Zaim Gökbay, Alexandra Covaci +1
Educational games have been widely used to teach children about cyber security. This systematic literature review reveals evidence of positive learning outcomes, after analysing 91…
Identity Deepfake Threats to Biometric Authentication Systems: Public and Expert Perspectives
Shijing He, Yaxiong Lei, Zihan Zhang +4
Generative AI (Gen-AI) deepfakes pose a rapidly evolving threat to biometric authentication, yet a significant gap exists between expert understanding of these risks and public per…
FACTors: A New Dataset for Studying the Fact-checking Ecosystem
Enes Altuncu, Can Başkent, Sanjay Bhattacherjee +2
Our fight against false information is spearheaded by fact-checkers. They investigate the veracity of claims and document their findings as fact-checking reports. With the rapid in…
Analysing Safety Risks in LLMs Fine-Tuned with Pseudo-Malicious Cyber Security Data
Adel ElZemity, Budi Arief, Shujun Li
Large language models (LLMs) have been used in many application domains, including cyber security. The application of LLMs in the cyber security domain presents significant opportu…
CyberLLMInstruct: A Pseudo-malicious Dataset Revealing Safety-performance Trade-offs in Cyber Security LLM Fine-tuning
Adel ElZemity, Budi Arief, Shujun Li
The integration of large language models (LLMs) into cyber security applications presents both opportunities and critical safety risks. We introduce CyberLLMInstruct, a dataset of…