most citedFACTors: A New Dataset for Studying the Fact-checking Ecosystem

4 citations · 7 across the 6 of their papers we have counts for

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cs.CR2026

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…

cs.CR2026

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…

cs.CR2025★ 1 cited

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…

cs.CR2025

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…

cs.CR2025★ 2 cited

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…