51 citations · 590 across the 70 of their papers we have counts for
75 papers
Johnny Still Receives Spam SMS: Assessing the Robustness of SMS Spam Detection
Muhammad Salman, Muhammad Islam, Muhammad Ikram +1
SMS spam detection systems often achieve high accuracy in controlled environments but struggle against adversarial attacks and increasingly sophisticated spam tactics in real-world…
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…