| 2022 | NetSoft | 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 |
| 2020 | CNSM | 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 Schler, Shengming Cai, Hao Shi, Jinchun Xu, Tobias Hofeld, Dario Rossi |
| 2020 | SIGCOMM | RAL: reinforcement active learning for network traffic monitoring and analysis. | Sarah Wassermann, Thibaut Cuvelier, Pedro Casas |
| 2020 | SIGCOMM | How good is your mobile (web) surfing?: speed index inference from encrypted traffic. | Sarah Wassermann, Pedro Casas, Michael Seufert, Nikolas Wehner, Joshua Schler, Tobias Hossfeld |
| 2019 | CNSM | ADAM & RAL: Adaptive Memory Learning and Reinforcement Active Learning for Network Monitoring. | Sarah Wassermann, Thibaut Cuvelier, Pavol Mulinka, Pedro Casas |
| 2019 | MOBICOM | 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 |
| 2018 | CNSM | 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 |
| 2018 | SIGCOMM | BIGMOMAL: Big Data Analytics for Mobile Malware Detection. | Sarah Wassermann, Pedro Casas |
| 2017 | SIGCOMM | NETPerfTrace: Predicting Internet Path Dynamics and Performance with Machine Learning. | Sarah Wassermann, Pedro Casas, Thibaut Cuvelier, Benoit Donnet |
| 2016 | LCN | On the Analysis of Internet Paths with DisNETPerf, a Distributed Paths Performance Analyzer. | Sarah Wassermann, Pedro Casas, Benoit Donnet, Guy Leduc, Marco Mellia |