| Inside Job: Applying Traffic Analysis to Measure Tor from Within. R Jansen, M Juarez, R Galvez, T Elahi, C Diaz NDSS, 2018 | 52 | 2018 |
| 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 | 11 | 2018 |
| 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 | 3 | 2017 |
| 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 | 2 | 2021 |
| Profiling Tor Users with Unsupervised Learning Techniques R Gálvez, M Juarez, C Diaz INFER 2016, 16, 2016 | 1 | 2016 |
| Less is More: A privacy-respecting Android malware classifier using Federated Learning R Gâlvez, V Moonsamy, C Diaz arXiv preprint arXiv:2007.08319, 2020 | | 2020 |
| 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 | | |
Claudia DiazKU LeuvenVerified email at esat.kuleuven.be
