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Large Language Models as Instructors: A Study on Multilingual Clinical Entity Extraction.

, , and . BioNLP@ACL, page 178-190. Association for Computational Linguistics, (2023)

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A generic framework for privacy preserving deep learning., , , , , , and . CoRR, (2018)Partially Encrypted Deep Learning using Functional Encryption., , , , and . NeurIPS, page 4519-4530. (2019)Large Language Models as Instructors: A Study on Multilingual Clinical Entity Extraction., , and . BioNLP@ACL, page 178-190. Association for Computational Linguistics, (2023)End-to-end privacy preserving deep learning on multi-institutional medical imaging., , , , , , , , , and 4 other author(s). Nat. Mach. Intell., 3 (6): 473-484 (2021)Privacy-preserving medical image analysis., , , , , , , , , and 1 other author(s). CoRR, (2020)Partially Encrypted Machine Learning using Functional Encryption., , , , and . CoRR, (2019)ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing., , and . CoRR, (2020)Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims., , , , , , , , , and 49 other author(s). CoRR, (2020)Cryptography for Privacy-Preserving Machine Learning. (Cryptographie pour l'apprentissage automatique respectueux de la vie privée).. École Normale Supérieure, Paris, France, (2022)Annotation d'entités cliniques en utilisant les Larges Modèles de Langue., , and . CORIA-TALN (1), page 190-203. ATALA, (2023)