167 citations · 182 across the 3 of their papers we have counts for
3 papers
cs.CR2026
Adaptive Intrusion Detection System using Transformer-Based Neural Networks and Continual Learning Approach with Adversarial Investigation
Azizi Ariffin, Afif Haris, Faiz Zaki +2
Network intrusion detection systems (IDS) trained on fixed traffic snapshots decay silently after deployment as threat distributions shift. Fine-tuning models on new attacks trigge…
cs.CR2022★ 167 cited
VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection
Hazim Hanif, Sergio Maffeis
This paper presents VulBERTa, a deep learning approach to detect security vulnerabilities in source code. Our approach pre-trains a RoBERTa model with a custom tokenisation pipelin…
cs.CR2020★ 15 cited
A Hybrid Graph Neural Network Approach for Detecting PHP Vulnerabilities
Rishi Rabheru, Hazim Hanif, Sergio Maffeis
This paper presents DeepTective, a deep learning approach to detect vulnerabilities in PHP source code. Our approach implements a novel hybrid technique that combines Gated Recurre…