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Martín Abadi

1 accepted papers

2017

Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data

ICLR 2017oral

Some machine learning applications involve training data that is sensitive, such as the medical histories of patients in a clinical trial. A model may inadvertently and implicitly store some of its training data; careful analysis of the model may therefore reveal sensitive information. To address t…

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