Sylvain Chatel

According to our database, Sylvain Chatel authored at least 16 papers between 2019 and 2025.

Collaborative distances:

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

2025

A Low-Cost Privacy-Preserving Digital Wallet for Humanitarian Aid Distribution.

Eva Luvison, Sylvain Chatel, Justinas Sukaitis, Vincent Graf Narbel, Carmela Troncoso, Wouter Lueks

Proceedings of the IEEE Symposium on Security and Privacy, 2025

2024

VERITAS: Plaintext Encoders for Practical Verifiable Homomorphic Encryption.

Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, Carmela Troncoso, Jean-Pierre Hubaux

Dataset, August, 2024

VERITAS: Plaintext Encoders for Practical Verifiable Homomorphic Encryption.

Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, Carmela Troncoso, Jean-Pierre Hubaux

Dataset, August, 2024

VERITAS: Plaintext Encoders for Practical Verifiable Homomorphic Encryption.

Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, Carmela Troncoso, Jean-Pierre Hubaux

Dataset, July, 2024

Helium: Scalable MPC among Lightweight Participants and under Churn.

Christian Mouchet, Sylvain Chatel, Apostolos Pyrgelis, Carmela Troncoso

IACR Cryptol. ePrint Arch., 2024

Poster: Multiparty Private Set Intersection from Multiparty Homomorphic Encryption.

Christian Mouchet, Sylvain Chatel, Lea Nürnberger, Wouter Lueks

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

VERITAS: Plaintext Encoders for Practical Verifiable Homomorphic Encryption.

Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, Carmela Troncoso, Jean-Pierre Hubaux

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

PELTA - Shielding Multiparty-FHE against Malicious Adversaries.

Sylvain Chatel, Christian Mouchet, Ali Utkan Sahin, Apostolos Pyrgelis, Carmela Troncoso, Jean-Pierre Hubaux

IACR Cryptol. ePrint Arch., 2023

Poster: Verifiable Encodings for Maliciously-Secure Homomorphic Encryption Evaluation.

Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, Carmela Troncoso, Jean-Pierre Hubaux

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

Verifiable Encodings for Secure Homomorphic Analytics.

Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, Jean-Pierre Hubaux

CoRR, 2022

Deploying decentralized, privacy-preserving proximity tracing.

Carmela Troncoso, Dan Bogdanov, Edouard Bugnion, Sylvain Chatel, Cas Cremers, Seda F. Gürses, Jean-Pierre Hubaux, Dennis Jackson, James R. Larus, Wouter Lueks, Rui Oliveira, Mathias Payer, Bart Preneel, Apostolos Pyrgelis, Marcel Salathé, Theresa Stadler, Michael Veale

Commun. ACM, 2022

2021

SoK: Privacy-Preserving Collaborative Tree-based Model Learning.

Sylvain Chatel, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux

Proc. Priv. Enhancing Technol., 2021

Privacy and Integrity Preserving Computations with CRISP.

Sylvain Chatel, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux

Proceedings of the 30th USENIX Security Symposium, 2021

2020

Decentralized Privacy-Preserving Proximity Tracing.

Carmela Troncoso, Mathias Payer, Jean-Pierre Hubaux, Marcel Salathé, James R. Larus, Wouter Lueks, Theresa Stadler, Apostolos Pyrgelis, Daniele Antonioli, Ludovic Barman, Sylvain Chatel, Kenneth G. Paterson, Srdjan Capkun, David A. Basin, Jan Beutel, Dennis Jackson, Marc Roeschlin, Patrick Leu, Bart Preneel, Nigel P. Smart, Aysajan Abidin, Seda Gurses, Michael Veale, Cas Cremers, Michael Backes, Nils Ole Tippenhauer, Reuben Binns, Ciro Cattuto, Alain Barrat, Dario Fiore, Manuel Barbosa, Rui Oliveira, José Pereira

IEEE Data Eng. Bull., 2020

Decentralized Privacy-Preserving Proximity Tracing.

Carmela Troncoso, Mathias Payer, Jean-Pierre Hubaux, Marcel Salathé, James R. Larus, Edouard Bugnion, Wouter Lueks, Theresa Stadler, Apostolos Pyrgelis, Daniele Antonioli, Ludovic Barman, Sylvain Chatel, Kenneth G. Paterson, Srdjan Capkun, David A. Basin, Jan Beutel, Dennis Jackson, Marc Roeschlin, Patrick Leu, Bart Preneel, Nigel P. Smart, Aysajan Abidin, Seda F. Gürses, Michael Veale, Cas Cremers, Michael Backes, Nils Ole Tippenhauer, Reuben Binns, Ciro Cattuto, Alain Barrat, Dario Fiore, Manuel Barbosa, Rui Oliveira, José Pereira

CoRR, 2020

2019

Reproducing Meta-learning with differentiable closed-form solvers.

Arnout Devos, Sylvain Chatel, Matthias Grossglauser

Proceedings of the Reproducibility in Machine Learning, 2019