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

18 Oct 2016Nicolas PapernotMartín AbadiÚlfar ErlingssonIan GoodfellowKunal Talwar

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... (read more)

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