| 2026 | AsiaCCS | "What is the Problem Space?" Defining Host-space Adversarial Perturbations against Network Intrusion Detection Systems. | Miel Verkerken, Laurens D'hooge, Bruno Volckaert, Filip De Turck, Giovanni Apruzzese |
| 2025 | ESORICS | Simplicity Performs, But Should It? Evaluating Malware Detection Benchmarks. | Samy Bettaieb, Laurens D'hooge, Charles-Henry Bertrand Van Ouytsel, Axel Legay, Etienne Rivire, Miel Verkerken, Bruno Volckaert |
| 2024 | CNSM | ChronosGuards: A Hierarchical Machine Learning Intrusion Detection System for Modern Clouds. | Miel Verkerken, Jos Santos, Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck |
| 2023 | CNSM | Performance Impact of Queue Sorting in Container-Based Application Scheduling. | Jos Santos, Miel Verkerken, Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck |
| 2022 | DIMVA | Establishing the Contaminating Effect of Metadata Feature Inclusion in Machine-Learned Network Intrusion Detection Models. | Laurens D'hooge, Miel Verkerken, Bruno Volckaert, Tim Wauters, Filip De Turck |
| 2022 | PST | Discovering Non-Metadata Contaminant Features in Intrusion Detection Datasets. | Laurens D'hooge, Miel Verkerken, Tim Wauters, Bruno Volckaert, Filip De Turck |
| 2021 | UCC | Machine learning based intrusion detection as a service: task assignment and capacity allocation in a multi-tier architecture. | Yuan-Cheng Lai, Didik Sudyana, Ying-Dar Lin, Miel Verkerken, Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck |