Sinem Sav

According to our database, Sinem Sav authored at least 12 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Abstract: Client Security Alone Fails in Federated Learning - 2D and 3D Attack Insights.

Santhosh Parampottupadam, Ralf Floca, Dimitrios Bounias, Benjamin Hamm, Saikat Roy, Sinem Sav, Maximilian Zenk, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

2024

Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data.

Atilla Akkus, Mingjie Li, Junjie Chu, Michael Backes, Yang Zhang, Sinem Sav

CoRR, 2024

CURE: Privacy-Preserving Split Learning Done Right.

Halil Ibrahim Kanpak, Aqsa Shabbir, Esra Genç, Alptekin Küpçü, Sinem Sav

CoRR, 2024

How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study.

Natalija Mitic, Apostolos Pyrgelis, Sinem Sav

CoRR, 2024

2023

Privacy-Preserving Federated Recurrent Neural Networks.

Sinem Sav, Abdulrahman Diaa, Apostolos Pyrgelis, Jean-Philippe Bossuat, Jean-Pierre Hubaux

Proc. Priv. Enhancing Technol., October, 2023

slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference.

Francesco Intoci, Sinem Sav, Apostolos Pyrgelis, Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux

Proceedings of the Applied Cryptography and Network Security Workshops, 2023

2022

Privacy-preserving federated neural network learning for disease-associated cell classification.

Sinem Sav, Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Manfred Claassen, Jean-Pierre Hubaux

Patterns, 2022

2021

Scalable Privacy-Preserving Distributed Learning.

David Froelicher, Juan Ramón Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux

Proc. Priv. Enhancing Technol., 2021

POSEIDON: Privacy-Preserving Federated Neural Network Learning.

Sinem Sav, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

2016

SIMARD: A simulated annealing based RNA design algorithm with quality pre-selection strategies.

Sinem Sav, David J. D. Hampson, Herbert H. Tsang

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Investigation of Multi-Objective Optimization criteria for RNA design.

David J. D. Hampson, Sinem Sav, Herbert H. Tsang

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Examining the annealing schedules for RNA design algorithm.

Halid Emre Erhan, Sinem Sav, Stas Kalashnikov, Herbert H. Tsang

Proceedings of the IEEE Congress on Evolutionary Computation, 2016