About

I am a final year PhD student at the School of Computer and Communication Sciences of Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, 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.
I earned an MSc in Computer Engineering with a specialization in Security from Georgia Tech. I also hold an MSc and BSc in Engineering from CentraleSupelec.

Interests
  • Security and Privacy
  • Applied Cryptography
  • Homomorphic Encryption
  • Zero-knowledge Proofs
Education

  • Ph.D. in Computer Science, ongoing

    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. ePrint Archive.

PDF Cite Project

Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, 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

Projects

PELTA Project
Verifying HE-based multiparty computations against malicious adversaries
VERITAS Project
Verifying FHE computations against covert clouds
CRISP Project
Verifying correct FHE outsourcing against covert clients
Collaborative Tree-based Model Learning
Overview of the security and privacy of distributed learning of tree-based models

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