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 | 374 | 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 | 272 | 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 | 102 | 2021 |
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 | 13 | 2018 |
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 | 10 | 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 |
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 | 6 | 2022 |
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 | 3 | 2022 |
Intelligent malware defenses A Nadeem, V Rimmer, W Joosen, S Verwer Security and artificial intelligence: A crossdisciplinary approach, 217-253, 2022 | 3 | 2022 |
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, Tim 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, W Joosen, D Preuveneers | | 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 |
Deep Learning Website Fingerprinting V Rimmer | | 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 | | |