1 citations · 1 across the 2 of their papers we have counts for
4 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…
SoK: Reshaping Research on Network Intrusion Detection Systems
Giovanni Apruzzese
Network Intrusion Detection Systems (NIDS) have been studied for decades. Hundreds of papers have, e.g., proposed ways to enhance, harden or bypass NIDS. However, the findings of p…
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…
The Ephemeral Threat: Assessing the Security of Algorithmic Trading Systems powered by Deep Learning
Advije Rizvani, Giovanni Apruzzese, Pavel Laskov
We study the security of stock price forecasting using Deep Learning (DL) in computational finance. Despite abundant prior research on the vulnerability of DL to adversarial pertur…