Sylvain Chatel

Privacy and Applied Cryptography Researcher

Security and Privacy Engineering Laboratory, EPFL

About

I am a privacy and applied cryptography researcher. I am currently a member of the Security and Privacy Engineering Laboratory (SPRING) at the Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland.

I completed my PhD at EPFL where I work under the supervision of Prof. Carmela Troncoso and Prof. Jean-Pierre Hubaux.

My research interests revolve around the topic of applied cryptography for security and privacy. In particular, how to combine zero-knowledge proofs and homomorphic encryption to enable security without compromising privacy and utility.

Interests

Security and Privacy
Applied Cryptography
Homomorphic Encryption
Zero-knowledge Proofs

Education

Ph.D. in Computer Science

Ecole Polytechnique Federale de Lausanne, EPFL
MSc in Electrical and Computer Engineering

Georgia Institute of Technology
MSc and BSc in Engineering

CentraleSupelec - Supelec

Publications

Sylvain Chatel, Christian Mouchet, Ali Utkan Sahin, Apostolos Pyrgelis, Carmela Troncoso, and Jean-Pierre Hubaux (2023). PELTA -- Shielding Multiparty-FHE against Malicious Adversaries. to appear at CCS 2023.

PDF Cite Project

Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, Carmela Troncoso, and Jean-Pierre Hubaux (2022). Verifiable Encodings for Secure Homomorphic Analytics. arXiv.

PDF Cite Project

Sylvain Chatel, Apostolos Pyrgelis, Juan Troncoso-Pastoriza, and Jean-Pierre Hubaux (2021). Privacy and Integrity Preserving Computations with CRISP. In the 30th USENIX Security Symposium, 2021.

PDF Cite Code Project Poster Slides Video

Sylvain Chatel, Apostolos Pyrgelis, Juan Troncoso-Pastoriza, and Jean-Pierre Hubaux (2021). SoK: Privacy-Preserving Collaborative Tree-based Model Learning. In Proceedings on Privacy Enhancing Technologies, Vol. 2021, No. 3, April 2021.

PDF Cite Project Poster Video

Carmela Troncoso, Mathias Payer, Jean-Pierre Hubaux, Sylvain Chatel, et al (2020). Decentralized Privacy-Preserving Proximity Tracing. In arXiv preprint.

PDF Cite Project

See all publications