4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
ExplainableDetector: Exploring Transformer-based Language Modeling Approach for SMS Spam Detection with Explainability Analysis
Mohammad Amaz Uddin, Muhammad Nazrul Islam, Leandros Maglaras +2
SMS, or short messaging service, is a widely used and cost-effective communication medium that has sadly turned into a haven for unwanted messages, commonly known as SMS spam. With…
cs.LG2024★ 4 cited
An Explainable Transformer-based Model for Phishing Email Detection: A Large Language Model Approach
Mohammad Amaz Uddin, Md Mahiuddin, Iqbal H. Sarker
Phishing email is a serious cyber threat that tries to deceive users by sending false emails with the intention of stealing confidential information or causing financial harm. Atta…