Suivre
Sinem Sav
Sinem Sav
Assistant Professor at Bilkent University, Computer Engineering Department
Adresse e-mail validée de cs.bilkent.edu.tr - Page d'accueil
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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
1902020
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
842021
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
282022
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
132016
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
92023
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
92016
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
72023
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
72016
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
62023
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
12024
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
12023
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, ...
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