6 papers
ExplainGuard: A Zero Trust Framework for Post-Hoc Explanation Integrity Guarantees in Blackbox XAI Models
Maraz Mia, Shovan Roy, Mir Mehedi A. Pritom +1
As machine learning (ML) models are increasingly deployed in high-stakes environments, explainable AI (XAI) methods like SHAP and LIME have become essential for regulatory complian…
Short Message Service (SMS) Phishing Attacks and Defenses: A Systematic Review
Mir Mehedi A. Pritom, Seyed Mohammad Sanjari, Maraz Mia +4
SMS Phishing (also known as 'smishing') is a growing deceptive social engineering (SE) attack that leverages mobile SMS to conduct cybercrimes such as stealing sensitive informatio…
Explainable but Vulnerable: Adversarial Attacks on XAI Explanation in Cybersecurity Applications
Maraz Mia, Mir Mehedi A. Pritom
Explainable Artificial Intelligence (XAI) has aided machine learning (ML) researchers with the power of scrutinizing the decisions of the black-box models. XAI methods enable looki…
Characterizing Event-themed Malicious Web Campaigns: A Case Study on War-themed Websites
Maraz Mia, Mir Mehedi A. Pritom, Tariqul Islam +1
Cybercrimes such as online scams and fraud have become prevalent. Cybercriminals often abuse various global or regional events as themes of their fraudulent activities to breach us…
Can Features for Phishing URL Detection Be Trusted Across Diverse Datasets? A Case Study with Explainable AI
Maraz Mia, Darius Derakhshan, Mir Mehedi A. Pritom
Phishing has been a prevalent cyber threat that manipulates users into revealing sensitive private information through deceptive tactics, designed to masquerade as trustworthy enti…
Visually Analyze SHAP Plots to Diagnose Misclassifications in ML-based Intrusion Detection
Maraz Mia, Mir Mehedi A. Pritom, Tariqul Islam +1
Intrusion detection has been a commonly adopted detective security measures to safeguard systems and networks from various threats. A robust intrusion detection system (IDS) can es…