1 citations · 1 across the 2 of their papers we have counts for
3 papers
"What is the Problem Space?" Defining Host-space Adversarial Perturbations against Network Intrusion Detection Systems
Miel Verkerken, Laurens D'hooge, Bruno Volckaert +2
Network Intrusion Detection Systems (NIDS) are now increasingly leveraging Machine Learning (ML) techniques to detect malicious network activities. Numerous papers have scrutinized…
AIBoMGen: Generating an AI Bill of Materials for Secure, Transparent, and Compliant Model Training
Wiebe Vandendriessche, Jordi Thijsman, Laurens D'hooge +2
The rapid adoption of complex AI systems has outpaced the development of tools to ensure their transparency, security, and regulatory compliance. In this paper, the AI Bill of Mate…
ConCap: Practical Network Traffic Generation for (ML- and) Flow-based Intrusion Detection Systems
Miel Verkerken, Laurens D'hooge, Bruno Volckaert +2
Network Intrusion Detection Systems (NIDS) have been studied in research for almost four decades. Yet, despite thousands of papers claiming scientific advances, a non-negligible nu…