Sinem Sav - RankMe

22 papers A* 2B 1Journal 15Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A joint optimization-based novel attack for genomic beacon reconstruction. Turkish J. Electr. Eng. Comput. Sci. Kousar Saleem, Sinem Sav
2025	J	`jnl`	A Taxonomy of Attacks and Defenses in Split Learning. CoRR Aqsa Shabbir, Halil Ibrahim Kanpak, Alptekin Küpçü, Sinem Sav
2025	—	`conf`	Abstract: Client Security Alone Fails in Federated Learning - 2D and 3D Attack Insights. Bildverarbeitung für die Medizin Santhosh Parampottupadam, Ralf Floca, Dimitrios Bounias, Benjamin Hamm, Saikat Roy, Sinem Sav, Maximilian Zenk, Klaus H. Maier-Hein
2025	J	`jnl`	Beacon Reconstruction Attack: Reconstruction of genomes in genomic data-sharing beacons using summary statistics. Bioinform. Kousar Saleem, A. Ercüment Çiçek, Sinem Sav
2025	J	`jnl`	Bridging Local and Federated Data Normalization in Federated Learning: A Privacy-Preserving Approach. CoRR Melih Cosgun, Mert Gençtürk, Sinem Sav
2025	A*	`conf`	Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data. USENIX Security Symposium Atilla Akkus, Masoud Poorghaffar Aghdam, Mingjie Li, Junjie Chu, Michael Backes, Yang Zhang, Sinem Sav
2025	J	`jnl`	Inclusive, Differentially Private Federated Learning for Clinical Data. CoRR Santhosh Parampottupadam, Melih Cosgun, Sarthak Pati, Maximilian Zenk, Saikat Roy, Dimitrios Bounias, Benjamin Hamm, Sinem Sav, Ralf Floca, Klaus H. Maier-Hein
2024	J	`jnl`	CURE: Privacy-Preserving Split Learning Done Right. CoRR Halil Ibrahim Kanpak, Aqsa Shabbir, Esra Genç, Alptekin Küpçü, Sinem Sav
2024	J	`jnl`	Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data. CoRR Atilla Akkus, Mingjie Li, Junjie Chu, Michael Backes, Yang Zhang, Sinem Sav
2024	J	`jnl`	How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study. CoRR Natalija Mitic, Apostolos Pyrgelis, Sinem Sav
2023	J	`jnl`	Privacy-Preserving Federated Recurrent Neural Networks. Proc. Priv. Enhancing Technol. Sinem Sav, Abdulrahman Diaa, Apostolos Pyrgelis, Jean-Philippe Bossuat, Jean-Pierre Hubaux
2023	—	`conf`	slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference. ACNS Workshops Francesco Intoci, Sinem Sav, Apostolos Pyrgelis, Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux
2023	J	`jnl`	slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference. CoRR Francesco Intoci, Sinem Sav, Apostolos Pyrgelis, Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux
2022	J	`jnl`	Privacy-Preserving Federated Recurrent Neural Networks. CoRR Sinem Sav, Abdulrahman Diaa, Apostolos Pyrgelis, Jean-Philippe Bossuat, Jean-Pierre Hubaux
2022	J	`jnl`	Privacy-preserving federated neural network learning for disease-associated cell classification. Patterns Sinem Sav, Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Manfred Claassen, Jean-Pierre Hubaux
2021	A*	`conf`	POSEIDON: Privacy-Preserving Federated Neural Network Learning. NDSS Sinem Sav, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux
2021	J	`jnl`	Scalable Privacy-Preserving Distributed Learning. Proc. Priv. Enhancing Technol. David Froelicher, Juan Ramón Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux
2020	J	`jnl`	POSEIDON: Privacy-Preserving Federated Neural Network Learning. CoRR Sinem Sav, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux
2020	J	`jnl`	Scalable Privacy-Preserving Distributed Learning. CoRR David Froelicher, Juan Ramón Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux
2016	B	`conf`	Examining the annealing schedules for RNA design algorithm. CEC Halid Emre Erhan, Sinem Sav, Stas Kalashnikov, Herbert H. Tsang
2016	—	`conf`	Investigation of Multi-Objective Optimization criteria for RNA design. SSCI David J. D. Hampson, Sinem Sav, Herbert H. Tsang
2016	—	`conf`	SIMARD: A simulated annealing based RNA design algorithm with quality pre-selection strategies. SSCI Sinem Sav, David J. D. Hampson, Herbert H. Tsang