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Vera Rimmer
Vera Rimmer
PhD Researcher imec-DistriNet, KU Leuven
Verified email at cs.kuleuven.be
Title
Cited by
Cited by
Year
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
3732017
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
2642018
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
1002021
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
132018
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
102022
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
92018
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
62022
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
32022
Intelligent malware defenses
A Nadeem, V Rimmer, W Joosen, S Verwer
Security and artificial intelligence: A crossdisciplinary approach, 217-253, 2022
32022
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
12023
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
12017
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
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