Publications

Ganyan Cao, Sylvain Chatel, and Christian Knabenhans
September, 2026 In ASIACRYPT 2026,
HE-based On-the-Fly MPC, Revisited: Universal Composability, Approximate and Imperfect Computation, Circuit Privacy
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Bogdan Cebere, Prateek Kumar, Sylvain Chatel, Wouter Lueks, Christian Rossow
September, 2026 In ACM CCS 2026,
Understanding the Privacy-Preserving Potential of HTTP/2 Against Webpage Fingerprinting
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Tim Rausch, Sylvain Chatel, and Wouter Lueks
July, 2026 In the 2026 IEEE Symposium on Security and Privacy (SP),
xDup: Privacy-Preserving Deduplication for Humanitarian Organizations using Fuzzy PSI
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Eva Luvison, Sylvain Chatel, Justinas Sukaitis, Vincent Graf Narbel, Carmela Troncoso, and Wouter Lueks
February, 2025 In the 46th IEEE Symposium on Security and Privacy, 2025
A Low-Cost Privacy-Preserving Digital Wallet for Humanitarian Aid Distribution
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Christian Mouchet, Sylvain Chatel, Apostolos Pyrgelis, Carmela Troncoso
July, 2024 CCS 2024
Helium: Scalable MPC among Lightweight Participants and under Churn
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Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, Carmela Troncoso, and Jean-Pierre Hubaux
June, 2024 CCS 2024
VERITAS: Plaintext Encoders for Practical Verifiable Homomorphic Encryption
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Sylvain Chatel, Christian Mouchet, Ali Utkan Sahin, Apostolos Pyrgelis, Carmela Troncoso, and Jean-Pierre Hubaux
May, 2023 CCS 2023
PELTA -- Shielding Multiparty-FHE against Malicious Adversaries
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Sylvain Chatel, Apostolos Pyrgelis, Juan Troncoso-Pastoriza, and Jean-Pierre Hubaux
August, 2021 In the 30th USENIX Security Symposium, 2021
Privacy and Integrity Preserving Computations with CRISP
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Sylvain Chatel, Apostolos Pyrgelis, Juan Troncoso-Pastoriza, and Jean-Pierre Hubaux
April, 2021 In Proceedings on Privacy Enhancing Technologies, Vol. 2021, No. 3, April 2021
SoK: Privacy-Preserving Collaborative Tree-based Model Learning
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Carmela Troncoso, Mathias Payer, Jean-Pierre Hubaux, Sylvain Chatel, et al
May, 2020 In arXiv preprint
Decentralized Privacy-Preserving Proximity Tracing
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Sylvain Chatel*, Arnout Devos*, Matthias Grossglauser, *Equal contribution
May, 2019 In RML@ ICLR 2019 and ReScience journal C, 2019
Reproducing Meta-learning with differentiable closed-form solvers
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