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Oktoberfest Food Dataset., , , , , and . CoRR, (2019)Adversarial interference and its mitigations in privacy-preserving collaborative machine learning., , , , , , , and . Nat. Mach. Intell., 3 (9): 749-758 (2021)Differentially private federated deep learning for multi-site medical image segmentation., , , , , , , and . CoRR, (2021)Body Fat Estimation from Surface Meshes Using Graph Neural Networks., , , , , , , , , and . ShapeMI@MICCAI, volume 14350 of Lecture Notes in Computer Science, page 105-117. Springer, (2023)A unified interpretation of the Gaussian mechanism for differential privacy through the sensitivity index., , , , , and . CoRR, (2021)Differentially private training of residual networks with scale normalisation., , , , and . CoRR, (2022)Privacy-preserving medical image analysis., , , , , , , , , and 1 other author(s). CoRR, (2020)Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging., , , , , , , and . CoRR, (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)Private, fair and accurate: Training large-scale, privacy-preserving AI models in radiology., , , , , , , , and . CoRR, (2023)