6 papers
Scalable AI-Driven Analytics for User Engagement and Stance Detection on Social Media
Thammitage Piyumi Wathsala Seneviratne, Muhammad Ikram, Dinusha Vatsalan +2
Social media platforms have become a major vector for the large-scale dissemination of misinformation and conspiracy content, posing significant risks to public trust, health, and…
Pro-ZD: A Transferable Graph Neural Network Approach for Proactive Zero-Day Threats Mitigation
Nardine Basta, Firas Ben Hmida, Houssem Jmal +3
In today's enterprise network landscape, the combination of perimeter and distributed firewall rules governs connectivity. To address challenges arising from increased traffic and…
RINSER: Accurate API Prediction Using Masked Language Models
Muhammad Ejaz Ahmed, Christopher Cody, Muhammad Ikram +5
Malware authors commonly use obfuscation to hide API identities in binary files, making analysis difficult and time-consuming for a human expert to understand the behavior and inte…
Enhancing Malware Fingerprinting through Analysis of Evasive Techniques
Alsharif Abuadbba, Sean Lamont, Ejaz Ahmed +6
As malware detection evolves, attackers adopt sophisticated evasion tactics. Traditional file-level fingerprinting, such as cryptographic and fuzzy hashes, is often overlooked as a…
SpaLLM-Guard: Pairing SMS Spam Detection Using Open-source and Commercial LLMs
Muhammad Salman, Muhammad Ikram, Nardine Basta +1
The increasing threat of SMS spam, driven by evolving adversarial techniques and concept drift, calls for more robust and adaptive detection methods. In this paper, we evaluate the…
Can Self Supervision Rejuvenate Similarity-Based Link Prediction?
Chenhan Zhang, Weiqi Wang, Zhiyi Tian +4
Although recent advancements in end-to-end learning-based link prediction (LP) methods have shown remarkable capabilities, the significance of traditional similarity-based LP metho…