| 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 | 19* | 2023 |
| Image obfuscation for privacy-preserving machine learning M Raynal, R Achanta, M Humbert arXiv preprint arXiv:2010.10139, 2020 | 13 | 2020 |
| Hyperloglog: Exponentially bad in adversarial settings KG Paterson, M Raynal 2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P), 154-170, 2022 | 9 | 2022 |
| Can decentralized learning be more robust than federated learning? M Raynal, D Pasquini, C Troncoso arXiv preprint arXiv:2303.03829, 2023 | 4 | 2023 |
| 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 |
| Private Collection Matching Protocols K EdalatNejad, M Raynal, W Lueks, C Troncoso Proceedings on Privacy Enhancing Technologies 3, 446-468, 2023 | 3* | 2023 |
| Randshare: Small-scale unbiasable randomness protocol M Raynal Dedis EPFL, 2018 | 2 | 2018 |
| On the Conflict of Robustness and Learning in Collaborative Machine Learning M Raynal, C Troncoso arXiv preprint arXiv:2402.13700, 2024 | 1 | 2024 |
