| Automated website fingerprinting through deep learning V Rimmer, D Preuveneers, M Juarez, T Van Goethem, W Joosen Network and Distributed System Security Symposium (NDSS) 2018, 1-15, 2017 | 481 | 2017 |
| Chained anomaly detection models for federated learning: An intrusion detection case study D Preuveneers, V Rimmer, I Tsingenopoulos, J Spooren, W Joosen, ... Applied Sciences 8 (12), 2663, 2018 | 325 | 2018 |
| Troubleshooting an intrusion detection dataset: the CICIDS2017 case study G Engelen, V Rimmer, W Joosen 2021 IEEE Security and Privacy Workshops (SPW), 7-12, 2021 | 169 | 2021 |
| Trace oddity: Methodologies for data-driven traffic analysis on tor V Rimmer, T Schnitzler, T Van Goethem, A Rodríguez Romero, W Joosen, ... Proceedings on Privacy Enhancing Technologies 2022 (3), 314-335, 2022 | 16 | 2022 |
| Fishy faces: Crafting adversarial images to poison face authentication G Garofalo, V Rimmer, D Preuveneers, W Joosen 12th USENIX Workshop on Offensive Technologies (WOOT 18), 2018 | 14 | 2018 |
| Open-world network intrusion detection V Rimmer, A Nadeem, S Verwer, D Preuveneers, W Joosen Security and artificial intelligence: A crossdisciplinary approach, 254-283, 2022 | 9 | 2022 |
| Frictionless authentication systems: emerging trends, Research challenges and opportunities V Rimmer, D Preuveneers, W Joosen, MA Mustafa, A Abidin, EA Rúa arXiv preprint arXiv:1802.07233, 2018 | 9 | 2018 |
| Position paper: On advancing adversarial malware generation using dynamic features A Shafiei, V Rimmer, I Tsingenopoulos, L Desmet, W Joosen Proceedings of the 1st Workshop on Robust Malware Analysis, 15-20, 2022 | 6 | 2022 |
| Intelligent malware defenses A Nadeem, V Rimmer, W Joosen, S Verwer Security and artificial intelligence: A crossdisciplinary approach, 217-253, 2022 | 5 | 2022 |
| Poster: Pillars of Sand: The current state of Datasets in the field of Network Intrusion Detection G Engelen, R Flood, L Liu-Thorrold, V Rimmer, H Clausen, D Aspinall, ... European Symposium on Security and Privacy (EuroS&P). https://doi. org/10 …, 2022 | 2 | 2022 |
| Deep Learning Website Fingerprinting V Rimmer | 2 | 2017 |
| SoK: On the offensive potential of AI SL Schröer, G Apruzzese, S Human, P Laskov, HS Anderson, ... arXiv preprint arXiv:2412.18442, 2024 | 1 | 2024 |
| Adversarial Markov Games: On Adaptive Decision-Based Attacks and Defenses I Tsingenopoulos, V Rimmer, D Preuveneers, F Pierazzi, L Cavallaro, ... arXiv preprint arXiv:2312.13435, 2023 | 1 | 2023 |
| A survey on applying machine learning techniques for behavioral awareness D Preuveneers, A Ramakrishnan, T Van Hamme, V Rimmer, Y Berbers, ... State of the Art in AI Applied to Ambient Intelligence, 1-34, 2017 | 1 | 2017 |
| Applied Deep Learning in Security and Privacy V Rimmer | | 2022 |
| On the Application of Deep Learning Techniques to Website Fingerprinting Attacks and Defenses MJ Miro, V Rimmer Deep Learning Security Workshop 2017, 2017 | | 2017 |
| On Adaptive Decision-Based Attacks and Defenses I Tsingenopoulos, V Rimmer, D Preuveneers, F Pierazzi, L Cavallaro, ... | | |
| Intelligent Malware Defenses: A Survey A Nadeem, V Rimmer, W Joosen, S Verwer | | |
| SPW 2021 G Engelen, V Rimmer, DC Le, N Zincir-Heywood, H Clausen, D Aspinall | | |
| On the Application of Deep Learning Techniques to Website Fingerprinting Attacks and Defenses M Juarez, V Rimmer | | |
Davy PreuveneersResearch Manager, DistriNet, KU Leuvenכתובת אימייל מאומתת בדומיין kuleuven.be