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Crowd-ML: A library for privacy-preserving machine learning on smart devices.

, , and . ICASSP, page 6394-6398. IEEE, (2017)

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K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning., and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1876-1884. PMLR, (2018)FLOOR: Fusing Locally Optimal Registrations., , , and . MICCAI (3), volume 8151 of Lecture Notes in Computer Science, page 195-202. Springer, (2013)Regional Manifold Learning for Disease Classification., , , , and . IEEE Trans. Medical Imaging, 33 (6): 1236-1247 (2014)FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium Segmentation., , , , and . MILLanD@MICCAI, volume 14307 of Lecture Notes in Computer Science, page 106-116. Springer, (2023)Fast Interactive Image Retrieval using large-scale unlabeled data., , and . CoRR, (2018)Minimax Filter: Learning to Preserve Privacy from Inference Attacks.. CoRR, (2016)Combining regional metrics for disease-related brain population analysis., , and . ISBI, page 1515-1518. IEEE, (2012)Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines., , , , , , and . CoRR, (2021)On Certifying and Improving Generalization to Unseen Domains., , , and . CoRR, (2022)Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection., , , , and . CoRR, (2020)