Théo Ryffel
Arkema (France)(FR)
Publications by Year
Research Areas
Privacy-Preserving Technologies in Data, Cryptography and Data Security, Adversarial Robustness in Machine Learning, Stochastic Gradient Optimization Techniques, Topic Modeling
Most-Cited Works
- → End-to-end privacy preserving deep learning on multi-institutional medical imaging(2021)443 cited
- → A generic framework for privacy preserving deep learning(2018)341 cited
- → Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims(2020)212 cited
- → PySyft: A Library for Easy Federated Learning(2021)197 cited
- → AriaNN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing(2022)85 cited
- Partially Encrypted Deep Learning using Functional Encryption(2019)
- → Partially Encrypted Machine Learning using Functional Encryption(2019)14 cited
- → Large Language Models as Instructors: A Study on Multilingual Clinical Entity Extraction(2023)11 cited