Image Obfuscation for Privacy-Preserving Machine Learning. - Mathilde Raynal; Radhakrishna Achanta; Mathias Humbert (CoRR, 2020)

HyperLogLog: Exponentially Bad in Adversarial Settings. - Kenneth G. Paterson; Mathilde Raynal (IACR Cryptol. ePrint Arch., 2021)

On the Privacy of Decentralized Machine Learning. - Dario Pasquini; Mathilde Raynal; Carmela Troncoso (CoRR, 2022)

Private Set Matching Protocols. - Kasra Edalatnejad; Mathilde Raynal; Wouter Lueks; Carmela Troncoso (CoRR, 2022)

On the (In)security of Peer-to-Peer Decentralized Machine Learning. - Dario Pasquini; Mathilde Raynal; Carmela Troncoso (SP, 2023)

Can Decentralized Learning be more robust than Federated Learning? - Mathilde Raynal; Dario Pasquini; Carmela Troncoso (CoRR, 2023)

Private Collection Matching Protocols. - Kasra Edalatnejad; Mathilde Raynal; Wouter Lueks; Carmela Troncoso (Proc. Priv. Enhancing Technol., 2023)

On the Conflict of Robustness and Learning in Collaborative Machine Learning. - Mathilde Raynal; Carmela Troncoso (CoRR, 2024)

On the Conflict Between Robustness and Learning in Collaborative Machine Learning. - Mathilde Raynal; Carmela Troncoso (SP, 2025)