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Adversarial interference and its mitigations in privacy-preserving collaborative machine learning., , , , , , , и . Nat. Mach. Intell., 3 (9): 749-758 (2021)Differentially private federated deep learning for multi-site medical image segmentation., , , , , , , и . CoRR, (2021)Oktoberfest Food Dataset., , , , , и . CoRR, (2019)Body Fat Estimation from Surface Meshes Using Graph Neural Networks., , , , , , , , , и . ShapeMI@MICCAI, том 14350 из Lecture Notes in Computer Science, стр. 105-117. Springer, (2023)Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging., , , , , , , и . CoRR, (2023)End-to-end privacy preserving deep learning on multi-institutional medical imaging., , , , , , , , , и 4 other автор(ы). Nat. Mach. Intell., 3 (6): 473-484 (2021)Privacy-preserving medical image analysis., , , , , , , , , и 1 other автор(ы). CoRR, (2020)A unified interpretation of the Gaussian mechanism for differential privacy through the sensitivity index., , , , , и . CoRR, (2021)Differentially private training of residual networks with scale normalisation., , , , и . CoRR, (2022)Privacy: An Axiomatic Approach., , , , и . Entropy, 24 (5): 714 (2022)