3 citations · 4 across the 6 of their papers we have counts for
5 papers · 1 filter
Two-Way Confidential VMs (2cVM): Collaborative Confidential Computing for Mutually Distrustful Parties
Jordi Thijsman, Merlijn Sebrechts, Stefan Lefever +2
Collaborative computation across organizations is often constrained by the need to process sensitive data and proprietary code without exposing them to untrusted infrastructure or…
"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…
MOZAIK: A Privacy-Preserving Analytics Platform for IoT Data Using MPC and FHE
Michiel Van Kenhove, Erik Pohle, Leonard Schild +5
The rapid increase of Internet of Things (IoT) systems across several domains has led to the generation of vast volumes of sensitive data, presenting significant challenges in term…
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…
Trusting the Cloud-Native Edge: Remotely Attested Kubernetes Workers
Jordi Thijsman, Merlijn Sebrechts, Filip De Turck +1
A Kubernetes cluster typically consists of trusted nodes, running within the confines of a physically secure datacenter. With recent advances in edge orchestration, this is no long…