Showing cs.CRShow all
3 papers · 1 filter
cs.CR2026
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…
cs.CR2025
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…
cs.CR2024
On the Robustness of Malware Detectors to Adversarial Samples
Muhammad Salman, Benjamin Zi Hao Zhao, Hassan Jameel Asghar +3
Adversarial examples add imperceptible alterations to inputs with the objective to induce misclassification in machine learning models. They have been demonstrated to pose signific…