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
Titre
Citée par
Citée par
Année
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
1662020
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
742021
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
232022
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
122016
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
82023
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
82016
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
62016
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
42023
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
42023
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
CURE: Privacy-Preserving Split Learning Done Right
HI Kanpak, A Shabbir, E Genç, A Küpçü, S Sav
arXiv preprint arXiv:2407.08977, 2024
2024
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
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, ...
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–18