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 | 190 | 2020 |
Scalable privacy-preserving distributed learning D Froelicher, JR Troncoso-Pastoriza, A Pyrgelis, S Sav, JS Sousa, ... Proceedings on Privacy Enhancing Technologies (PoPETs) 2021(2), 323-347, 2021 | 84 | 2021 |
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), 2022 | 28 | 2022 |
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 | 13 | 2016 |
Privacy-Preserving Federated Recurrent Neural Networks S Sav, A Diaa, A Pyrgelis, JP Bossuat, JP Hubaux Proceedings on Privacy Enhancing Technologies (PoPETs) 2023(4), 500-521, 2023 | 9 | 2023 |
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 | 9 | 2016 |
System and method for privacy-preserving distributed training of machine learning models on distributed datasets D Froelicher, JR Troncoso-Pastoriza, A Pyrgelis, S Sav, JGDSE Sousa, ... US Patent App. 17/998,120, 2023 | 7 | 2023 |
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 | 7 | 2016 |
System and method for privacy-preserving distributed training of neural network models on distributed datasets S Sav, JR Troncoso-Pastoriza, A Pyrgelis, D Froelicher, JGDSE Sousa, ... US Patent App. 18/043,186, 2023 | 6 | 2023 |
How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study N Mitic, A Pyrgelis, S Sav arXiv preprint arXiv:2402.16087, 2024 | 1 | 2024 |
slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference F Intoci, S Sav, A Pyrgelis, JP Bossuat, JR Troncoso-Pastoriza, ... International Conference on Applied Cryptography and Network Security, 359-377, 2023 | 1 | 2023 |
Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data A Akkus, M Li, J Chu, M Backes, Y Zhang, S Sav arXiv preprint arXiv:2409.11423, 2024 | | 2024 |
CURE: Privacy-Preserving Split Learning Done Right HI Kanpak, A Shabbir, E Genç, A Küpçü, S Sav arXiv preprint arXiv:2407.08977, 2024 | | 2024 |
A Reinforcement Learning-based Approach for Dynamic Privacy Protection in Genomic Data Sharing Beacons M Poorghaffar Aghdam, S Shukueian Tabrizi, K Ayoz, E Ayday, S Sav, ... bioRxiv, 2024.10. 28.620587, 2024 | | 2024 |
Client Security Alone Fails in Federated Learning: 2D and 3D Attack Insights S Parampottupadam, R Floca, D Bounias, B Hamm, S Roy, S Sav, M Zenk, ... MICCAI Student Board EMERGE Workshop: Empowering MEdical image computing …, 2024 | | 2024 |
Privacy-preserving federated neural network training and inference S Sav EPFL, 2023 | | 2023 |
Privacy-preserving computation and robust watermarking techniques for healthcare data S Sav PQDT-Global, 2018 | | 2018 |
Efsanenin doğduğu yer: Çarşı AO Gitmez, HO Karayiğit, Hİ Görgen, K Gökyürek, S Sav Bilkent University, 0 | | |
Group ID U13548 Affiliated authors Chatel, Sylvain G Cherubin, I Coke, K Edalatnejadkhamene, L Girod, K Gétaz, K Kireev, ... | | |
LDS E Ayday, L Barman, I Bilogrevic, JP Bossuat, R Bouyé, ... | | |