7 citations · 11 across the 2 of their papers we have counts for
4 papers
TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems
Islam Debicha, Richard Bauwens, Thibault Debatty +3
Nowadays, intrusion detection systems based on deep learning deliver state-of-the-art performance. However, recent research has shown that specially crafted perturbations, called a…
Adversarial Training for Deep Learning-based Intrusion Detection Systems
Islam Debicha, Thibault Debatty, Jean-Michel Dricot +1
Nowadays, Deep Neural Networks (DNNs) report state-of-the-art results in many machine learning areas, including intrusion detection. Nevertheless, recent studies in computer vision…
Recommendations for Model-Driven Paradigms for Integrated Approaches to Cyber Defense
Mona Lange, Alexander Kott, Noam Ben-Asher +6
The North Atlantic Treaty Organization (NATO) Exploratory Team meeting, "Model-Driven Paradigms for Integrated Approaches to Cyber Defense," was organized by the NATO Science and T…
Fast Online k-nn Graph Building
Thibault Debatty, Pietro Michiardi, Wim Mees
In this paper we propose an online approximate k-nn graph building algorithm, which is able to quickly update a k-nn graph using a flow of data points. One very important step of t…