On the Analysis of Internet Paths with DisNETPerf, a Distributed Paths Performance Analyzer. - Sarah Wassermann; Pedro Casas; Benoit Donnet; Guy Leduc; Marco Mellia (LCN Workshops, 2016)

Unveiling network and service performance degradation in the wild with mplane. - Pedro Casas; Pierdomenico Fiadino; Sarah Wassermann; Stefano Traverso; Alessandro D'Alconzo; Edion Tego; Francesco Matera; Marco Mellia (IEEE Commun. Mag., 2016)

Improving QoE prediction in mobile video through machine learning. - Pedro Casas; Sarah Wassermann (NOF, 2017)

NETPerfTrace: Predicting Internet Path Dynamics and Performance with Machine Learning. - Sarah Wassermann; Pedro Casas; Thibaut Cuvelier; Benoit Donnet (Big-DAMA@SIGCOMM, 2017)

Beauty is in the Eye of the Smartphone Holder A Data Driven Analysis of YouTube Mobile QoE. - Nikolas Wehner; Sarah Wassermann; Pedro Casas; Michael Seufert; Florian Wamser (CNSM, 2018)

BIGMOMAL: Big Data Analytics for Mobile Malware Detection. - Sarah Wassermann; Pedro Casas (WTMC@SIGCOMM, 2018)

Distributed Internet Paths Performance Analysis Through Machine Learning. - Sarah Wassermann; Pedro Casas (TMA, 2018)

Anycaston the Move: A Look at Mobile Anycast Performance. - Sarah Wassermann; John P. Rula; Fabian E. Bustamante; Pedro Casas (TMA, 2018)

Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones. - Sarah Wassermann; Nikolas Wehner; Pedro Casas (SIGMETRICS Perform. Evaluation Rev., 2018)

ADAM & RAL: Adaptive Memory Learning and Reinforcement Active Learning for Network Monitoring. - Sarah Wassermann; Thibaut Cuvelier; Pavol Mulinka; Pedro Casas (CNSM, 2019)

I See What you See: Real Time Prediction of Video Quality from Encrypted Streaming Traffic. - Sarah Wassermann; Michael Seufert; Pedro Casas; Li Gang; Kuang Li (Internet-QoE@MOBICOM, 2019)

On the Analysis of YouTube QoE in Cellular Networks through in-Smartphone Measurements. - Sarah Wassermann; Pedro Casas; Michael Seufert; Florian Wamser (WMNC, 2019)

Let me Decrypt your Beauty: Real-time Prediction of Video Resolution and Bitrate for Encrypted Video Streaming. - Sarah Wassermann; Michael Seufert; Pedro Casas; Li Gang; Kuang Li (TMA, 2019)

Lightweight, General Inference of Streaming Video Quality from Encrypted Traffic. - Francesco Bronzino; Paul Schmitt; Sara Ayoubi; Nick Feamster; Renata Teixeira; Sarah Wassermann; Srikanth Sundaresan (CoRR, 2019)

Considering User Behavior in the Quality of Experience Cycle: Towards Proactive QoE-Aware Traffic Management. - Michael Seufert; Sarah Wassermann; Pedro Casas (IEEE Commun. Lett., 2019)

Are you on Mobile or Desktop? On the Impact of End-User Device on Web QoE Inference from Encrypted Traffic. - Sarah Wassermann; Pedro Casas; Zied Ben-Houidi; Alexis Huet; Michael Seufert; Nikolas Wehner; Joshua Schüler; Shengming Cai; Hao Shi 002; Jinchun Xu; Tobias Hoßfeld; Dario Rossi 001 (CNSM, 2020)

RAL: reinforcement active learning for network traffic monitoring and analysis. - Sarah Wassermann; Thibaut Cuvelier; Pedro Casas (SIGCOMM Posters and Demos, 2020)

How good is your mobile (web) surfing?: speed index inference from encrypted traffic. - Sarah Wassermann; Pedro Casas; Michael Seufert; Nikolas Wehner; Joshua Schüler; Tobias Hossfeld (SIGCOMM Posters and Demos, 2020)

ViCrypt to the Rescue: Real-Time, Machine-Learning-Driven Video-QoE Monitoring for Encrypted Streaming Traffic. - Sarah Wassermann; Michael Seufert; Pedro Casas; Li Gang; Kuang Li (IEEE Trans. Netw. Serv. Manag., 2020)

Mobile Web and App QoE Monitoring for ISPs - from Encrypted Traffic to Speed Index through Machine Learning. - Pedro Casas; Sarah Wassermann; Nikolas Wehner; Michael Seufert; Joshua Schüler; Tobias Hossfeld (WMNC, 2021)

Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling. - Nikolas Wehner; Michael Seufert; Joshua Schuler; Sarah Wassermann; Pedro Casas; Tobias Hossfeld (SIGMETRICS Perform. Evaluation Rev., 2021)

Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis. - Sarah Wassermann; Thibaut Cuvelier; Pavol Mulinka; Pedro Casas (IEEE Trans. Netw. Serv. Manag., 2021)

Fingerprinting Web Pages and Smartphone Apps from Encrypted Network Traffic with WebScanner. - Pedro Casas; Nikolas Wehner; Sarah Wassermann; Michael Seufert (CloudNet, 2022)

Not all Web Pages are Born the Same Content Tailored Learning for Web QoE Inference. - Pedro Casas; Sarah Wassermann; Nikolas Wehner; Michael Seufert; Tobias Hossfeld (M&N, 2022)

DeepCrypt - Deep Learning for QoE Monitoring and Fingerprinting of User Actions in Adaptive Video Streaming. - Pedro Casas; Michael Seufert; Sarah Wassermann; Bruno Gardlo; Nikolas Wehner; Raimund Schatz (NetSoft, 2022)

X-Ray Goggles for the ISP: Improving in-Network Web and App QoE Monitoring with Deep Learning. - Pedro Casas; Sarah Wassermann; Michael Seufert; Nikolas Wehner; Olivia Dinica; Tobias Hossfeld (TMA, 2022)

Targeted Attacks: Redefining Spear Phishing and Business Email Compromise. - Sarah Wassermann; Maxime Meyer; Sébastien Goutal; Damien Riquet (CoRR, 2023)