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ORCIDMathilde Raynal
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2020 – today
- 2024
[i6]Mathilde Raynal, Carmela Troncoso:
On the Conflict of Robustness and Learning in Collaborative Machine Learning. CoRR abs/2402.13700 (2024)- 2023
- [j1]Kasra Edalatnejad, Mathilde Raynal, Wouter Lueks, Carmela Troncoso:
Private Collection Matching Protocols. Proc. Priv. Enhancing Technol. 2023(3): 446-468 (2023) - [c2]Dario Pasquini, Mathilde Raynal, Carmela Troncoso:
On the (In)security of Peer-to-Peer Decentralized Machine Learning. SP 2023: 418-436 - [i5]Mathilde Raynal, Dario Pasquini, Carmela Troncoso:
Can Decentralized Learning be more robust than Federated Learning? CoRR abs/2303.03829 (2023) - 2022
- [c1]Kenneth G. Paterson, Mathilde Raynal:
HyperLogLog: Exponentially Bad in Adversarial Settings. EuroS&P 2022: 154-170 - [i4]Dario Pasquini, Mathilde Raynal, Carmela Troncoso:
On the Privacy of Decentralized Machine Learning. CoRR abs/2205.08443 (2022) - [i3]Kasra Edalatnejad, Mathilde Raynal, Wouter Lueks, Carmela Troncoso:
Private Set Matching Protocols. CoRR abs/2206.07009 (2022) - 2021
- [i2]Kenneth G. Paterson, Mathilde Raynal:
HyperLogLog: Exponentially Bad in Adversarial Settings. IACR Cryptol. ePrint Arch. 2021: 1139 (2021) - 2020
- [i1]Mathilde Raynal, Radhakrishna Achanta, Mathias Humbert:
Image Obfuscation for Privacy-Preserving Machine Learning. CoRR abs/2010.10139 (2020)
Coauthor Index
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