Inside Job: Applying Traffic Analysis to Measure Tor from Within. R Jansen, M Juarez, R Galvez, T Elahi, C Diaz NDSS, 2018 | 95 | 2018 |
Less is More: A privacy-respecting Android malware classifier using federated learning R Gálvez, V Moonsamy, C Diaz arXiv preprint arXiv:2007.08319, 2020 | 40 | 2020 |
The odyssey: Modeling privacy threats in a brave new world R Galvez, S Gurses 2018 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), 87-94, 2018 | 28 | 2018 |
Beyond federated learning: On confidentiality-critical machine learning applications in industry W Zellinger, V Wieser, M Kumar, D Brunner, N Shepeleva, R Gálvez, ... Procedia Computer Science 180, 734-743, 2021 | 22 | 2021 |
Poster: Fingerprinting hidden service circuits from a tor middle relay M Juarez, T Elahi, R Jansen, C Diaz, R Galvez, M Wright Proceedings of IEEE S&P, 2017 | 4 | 2017 |
Profiling Tor Users with Unsupervised Learning Techniques R Gálvez, M Juarez, C Diaz INFER 2016, 16, 2016 | 4 | 2016 |
On the Brittleness of Robust Features: An Exploratory Analysis of Model Robustness and Illusionary Robust Features A Aghabagherloo, R Gálvez, D Preuveneers, B Preneel 2023 IEEE Security and Privacy Workshops (SPW), 38-44, 2023 | | 2023 |
New Privacy Engineering Methods for Artificial Intelligence R Gálvez | | 2022 |
Caracterización analítica de segmentos del habla mediante clustering de vectores de coeficientes cepstrales R Gálvez Vizcaíno Universidad Carlos III de Madrid, 2014 | | 2014 |
Position paper: On engineering AI agents for privacy R Gálvez, S Gürses | | |