46 citations · 63 across the 5 of their papers we have counts for
6 papers
Improving Methodologies for Agentic Evaluations Across Domains: Leakage of Sensitive Information, Fraud and Cybersecurity Threats
Ee Wei Seah, Yongsen Zheng, Naga Nikshith +67
The rapid rise of autonomous AI systems and advancements in agent capabilities are introducing new risks due to reduced oversight of real-world interactions. Yet agent testing rema…
ProML: A Decentralised Platform for Provenance Management of Machine Learning Software Systems
Nguyen Khoi Tran, Bushra Sabir, M. Ali Babar +3
Large-scale Machine Learning (ML) based Software Systems are increasingly developed by distributed teams situated in different trust domains. Insider threats can launch attacks fro…
Automated Software Vulnerability Assessment with Concept Drift
Triet H. M. Le, Bushra Sabir, M. Ali Babar
Software Engineering researchers are increasingly using Natural Language Processing (NLP) techniques to automate Software Vulnerabilities (SVs) assessment using the descriptions in…
ReinforceBug: A Framework to Generate Adversarial Textual Examples
Bushra Sabir, M. Ali Babar, Raj Gaire
Adversarial Examples (AEs) generated by perturbing original training examples are useful in improving the robustness of Deep Learning (DL) based models. Most prior works, generate…
Machine Learning for Detecting Data Exfiltration: A Review
Bushra Sabir, Faheem Ullah, M. Ali Babar +1
Context: Research at the intersection of cybersecurity, Machine Learning (ML), and Software Engineering (SE) has recently taken significant steps in proposing countermeasures for d…
Reliability and Robustness analysis of Machine Learning based Phishing URL Detectors
Bushra Sabir, M. Ali Babar, Raj Gaire +1
ML-based Phishing URL (MLPU) detectors serve as the first level of defence to protect users and organisations from being victims of phishing attacks. Lately, few studies have launc…