| POSEIDON: Privacy-preserving federated neural network learning S Sav, A Pyrgelis, JR Troncoso-Pastoriza, D Froelicher, JP Bossuat, ... Network and Distributed Systems Security (NDSS) Symposium 2021, 2020 | 84 | 2020 |
| Scalable privacy-preserving distributed learning D Froelicher, JR Troncoso-Pastoriza, A Pyrgelis, S Sav, JS Sousa, ... arXiv preprint arXiv:2005.09532, 2020 | 33 | 2020 |
| SIMARD: A simulated annealing based RNA design algorithm with quality pre-selection strategies S Sav, DJD Hampson, HH Tsang 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 10 | 2016 |
| Examining the annealing schedules for RNA design algorithm HE Erhan, S Sav, S Kalashnikov, HH Tsang 2016 IEEE Congress on Evolutionary Computation (CEC), 1295-1302, 2016 | 7 | 2016 |
| Investigation of Multi-Objective Optimization criteria for RNA design DJD Hampson, S Sav, HH Tsang 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 6 | 2016 |
| Privacy-preserving federated neural network learning for disease-associated cell classification S Sav, JP Bossuat, JR Troncoso-Pastoriza, M Claassen, JP Hubaux Patterns 3 (5), 100487, 2022 | 3 | 2022 |
| System and method for privacy-preserving distributed training of neural network models on distributed datasets S Sav, JR Troncoso-Pastoriza, A Pyrgelis, D Froelicher, ... | 2 | 2022 |
| System and method for privacy-preserving distributed training of machine learning models on distributed datasets D Froelicher, JR Troncoso-Pastoriza, A Pyrgelis, S Sav, ... | 2 | 2021 |
| Privacy-Preserving Federated Recurrent Neural Networks S Sav, A Diaa, A Pyrgelis, JP Bossuat, JP Hubaux arXiv preprint arXiv:2207.13947, 2022 | | 2022 |
| Privacy-preserving Computation and Robust Watermarking Techniques for Healthcare Data S Sav PQDT-Global, 2018 | | 2018 |
| LDS E Ayday, L Barman, I Bilogrevic, JP Bossuat, R Bouyé, S Chatel, ... | | |
Jean-Pierre HubauxProfessor, EPFLAdresse e-mail validée de epfl.ch
