< Back to previous page
Researcher
Laurens Le Jeune
- Disciplines:Machine learning and decision making, Computer communication networks, Electronic design
Affiliations
- Computer Security and Industrial Cryptography (COSIC) (Division)
Member
From1 Aug 2020 → Today - Electrical Engineering Technology (ESAT), Diepenbeek Campus (Technology cluster)
Member
From1 Sep 2019 → 31 Jul 2020
Projects
1 - 1 of 1
- Machine Learning for Network Intrusion Detection on FPGAFrom22 Aug 2019 → 23 Nov 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 7 of 7
- Machine Learning for Network Intrusion Detection on FPGA(2023)
Authors: Laurens Le Jeune, Nele Mentens, Toon Goedemé
- Feature dimensionality in CNN acceleration for high-throughput network intrusion detection(2023)
Authors: Laurens Le Jeune, Toon Goedemé, Nele Mentens
Pages: 366 - 374Number of pages: 8 - SoK - Network Intrusion Detection on FPGA(2022)
Authors: Laurens Le Jeune, Arish Sateesan, Md Masoom Rabbani, Toon Goedemé, Jo Vliegen, Nele Mentens
Pages: 242 - 261Number of pages: 20 - Towards Real-Time Deep Learning-Based Network Intrusion Detection on FPGA(2021)
Authors: Laurens Le Jeune, Toon Goedemé, Nele Mentens
Pages: 133 - 150 - Machine Learning for Misuse-Based Network Intrusion Detection: Overview, Unified Evaluation and Feature Choice Comparison Framework(2021)
Authors: Laurens Le Jeune, Toon Goedemé, Nele Mentens
Pages: 63995 - 64015 - AITIA: Embedded AI Techniques for Embedded Industrial Applications(2020)
Authors: Laurens Le Jeune, Kristof Van Beeck, Toon Goedemé, Nele Mentens
Number of pages: 7 - Analysis of collision detection using Implicit Sphere Tree in haptic interaction environments for maxillofacial surgery applications(2018)
Authors: Laurens Le Jeune, Constantinus Politis
Number of pages: 6