César Sabater

Orcid: 0000-0002-1483-8897

According to our database1, César Sabater authored at least 10 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Dropout-Robust Mechanisms for Differentially Private and Fully Decentralized Mean Estimation.
Proc. Priv. Enhancing Technol., 2026

2025
Secure Federated Graph-Filtering for Recommender Systems.
CoRR, January, 2025

Exposing the Vulnerability of Decentralized Learning to Membership Inference Attacks Through the Lens of Graph Mixing.
Proceedings of the 26th International Middleware Conference, 2025

PriviRec: Confidential and Decentralized Graph Filtering for Recommender Systems.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
Scrutinizing the Vulnerability of Decentralized Learning to Membership Inference Attacks.
CoRR, 2024

Differentially private and decentralized randomized power method.
CoRR, 2024

2023
Private Sampling with Identifiable Cheaters.
Proc. Priv. Enhancing Technol., April, 2023

2022
Efficient and Robust Protocols for Privacy-Preserving Semi-Decentralized Machine Learning. (Protocoles Efficaces et Robustes pour l'Apprentissage Automatique Semi-Décentralisé Préservant la Confidentialité).
PhD thesis, 2022

An accurate, scalable and verifiable protocol for federated differentially private averaging.
Mach. Learn., 2022

2020
Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties.
CoRR, 2020


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