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Mathilde Raynal
Mathilde Raynal
Verified email at epfl.ch
Title
Cited by
Cited by
Year
On the (In) security of Peer-to-Peer Decentralized Machine Learning
D Pasquini, M Raynal, C Troncoso
2023 IEEE Symposium on Security and Privacy (SP), 418-436, 2023
17*2023
Image obfuscation for privacy-preserving machine learning
M Raynal, R Achanta, M Humbert
arXiv preprint arXiv:2010.10139, 2020
132020
Hyperloglog: Exponentially bad in adversarial settings
KG Paterson, M Raynal
2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P), 154-170, 2022
92022
PQ-WireGuard: We Did It Again
M Raynal, A Genêt, Y Romailler
Proceedings of the NIST Third PQC Standardization Conference, Online, 7-9, 2021
4*2021
Can Decentralized Learning be more robust than Federated Learning?
M Raynal, D Pasquini, C Troncoso
arXiv preprint arXiv:2303.03829, 2023
22023
Private Collection Matching Protocols
K EdalatNejad, M Raynal, W Lueks, C Troncoso
Proceedings on Privacy Enhancing Technologies 3, 446-468, 2023
2*2023
Randshare: Small-scale unbiasable randomness protocol
M Raynal
Dedis EPFL, 2018
22018
On the Conflict of Robustness and Learning in Collaborative Machine Learning
M Raynal, C Troncoso
arXiv preprint arXiv:2402.13700, 2024
2024
Group ID U13548 Affiliated authors Cherubin, Giovanni
I Coke, K Edalatnejadkhamene, L Girod, K Kireev, B Kulynych, W Lueks, ...
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