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Sarah Wassermann
Sarah Wassermann
Cybersecurity researcher @Vade
Verified email at wassermann.lu - Homepage
Title
Cited by
Cited by
Year
Vicrypt to the rescue: Real-time, machine-learning-driven video-qoe monitoring for encrypted streaming traffic
S Wassermann, M Seufert, P Casas, L Gang, K Li
IEEE Transactions on Network and Service Management 17 (4), 2007-2023, 2020
432020
Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones
S Wassermann, N Wehner, P Casas
Workshop on AI in Networks (WAIN) 2018, 2018
362018
Considering user behavior in the quality of experience cycle: towards proactive QoE-aware traffic management
M Seufert, S Wassermann, P Casas
IEEE Communications Letters 23 (7), 1145-1148, 2019
312019
Let me decrypt your beauty: Real-time prediction of video resolution and bitrate for encrypted video streaming
S Wassermann, M Seufert, P Casas, L Gang, K Li
2019 Network Traffic Measurement and Analysis Conference (TMA), 199-200, 2019
272019
Unveiling network and service performance degradation in the wild with mplane
P Casas, P Fiadino, S Wassermann, S Traverso, A D'Alconzo, E Tego, ...
IEEE Communications Magazine 54 (3), 71-79, 2016
262016
Improving QoE prediction in mobile video through machine learning
P Casas, S Wassermann
2017 8th International Conference on the Network of the Future (NOF), 1-7, 2017
212017
I see what you see: Real time prediction of video quality from encrypted streaming traffic
S Wassermann, M Seufert, P Casas, L Gang, K Li
Proceedings of the 4th Internet-QoE Workshop on QoE-based Analysis and …, 2019
192019
Ral-improving stream-based active learning by reinforcement learning
S Wassermann, T Cuvelier, P Casas
European Conference on Machine Learning and Principles and Practice of …, 2019
182019
On the analysis of YouTube QoE in cellular networks through in-smartphone measurements
S Wassermann, P Casas, M Seufert, F Wamser
2019 12th IFIP Wireless and Mobile Networking Conference (WMNC), 71-78, 2019
162019
Predicting Internet Path Dynamics and Performance with Machine Learning
S Wassermann, P Casas, T Cuvelier, B Donnet
14*2017
Adaptive and reinforcement learning approaches for online network monitoring and analysis
S Wassermann, T Cuvelier, P Mulinka, P Casas
IEEE Transactions on Network and Service Management 18 (2), 1832-1849, 2020
102020
Beauty is in the eye of the smartphone holder a data driven analysis of youtube mobile qoe
N Wehner, S Wassermann, P Casas, M Seufert, F Wamser
2018 14th International Conference on Network and Service Management (CNSM …, 2018
92018
BIGMOMAL: Big data analytics for mobile malware detection
S Wassermann, P Casas
Proceedings of the 2018 Workshop on Traffic Measurements for Cybersecurity …, 2018
92018
On the analysis of internet paths with disnetperf, a distributed paths performance analyzer
S Wassermann, P Casas, B Donnet, G Leduc, M Mellia
2016 IEEE 41st Conference on Local Computer Networks Workshops (LCN …, 2016
92016
Are you on mobile or desktop? on the impact of end-user device on web qoe inference from encrypted traffic
S Wassermann, P Casas, ZB Houidi, A Huet, M Seufert, N Wehner, ...
2020 16th International Conference on Network and Service Management (CNSM), 1-9, 2020
82020
Improving web qoe monitoring for encrypted network traffic through time series modeling
N Wehner, M Seufert, J Schuler, S Wassermann, P Casas, T Hossfeld
ACM SIGMETRICS Performance Evaluation Review 48 (4), 37-40, 2021
72021
Remember the good, forget the bad, do it fast-continuous learning over streaming data
P Mulinka, S Wassermann, G Marín, P Casas
Continual Learning Workshop at NeurIPS 2018, 2018
72018
ADAM & RAL: Adaptive memory learning and reinforcement active learning for network monitoring
S Wassermann, T Cuvelier, P Mulinka, P Casas
2019 15th International Conference on Network and Service Management (CNSM), 1-9, 2019
62019
Lightweight, General Inference of Streaming Video Quality from Encrypted Traffic
F Bronzino, P Schmitt, S Ayoubi, N Feamster, R Teixeira, S Wassermann, ...
arXiv preprint arXiv:1901.05800, 2019
62019
Mobile web and app QoE monitoring for ISPs-from encrypted traffic to speed index through machine learning
P Casas, S Wassermann, N Wehner, M Seufert, J Schüler, T Hossfeld
2021 13th IFIP Wireless and Mobile Networking Conference (WMNC), 40-47, 2021
52021
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