3 citations · 5 across the 8 of their papers we have counts for
9 papers
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…
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…
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…
Delta Sum Learning: an approach for fast and global convergence in Gossip Learning
Tom Goethals, Merlijn Sebrechts, Stijn De Schrijver +2
Federated Learning is a popular approach for distributed learning due to its security and computational benefits. With the advent of powerful devices in the network edge, Gossip Le…
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…
Cyber-physical WebAssembly: Secure Hardware Interfaces and Pluggable Drivers
Michiel Van Kenhove, Maximilian Seidler, Friedrich Vandenberghe +7
The rapid expansion of Internet of Things (IoT), edge, and embedded devices in the past decade has introduced numerous challenges in terms of security and configuration management.…
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…
Adapting Kubernetes controllers to the edge: on-demand control planes using Wasm and WASI
Merlijn Sebrechts, Tim Ramlot, Sander Borny +3
Kubernetes' high resource requirements hamper its adoption in constrained environments such as the edge and fog. Its extensible control plane is a significant contributor to this,…