Semi-supervised knowledge transfer for deep learning from private training data
OpenAI Blog
October 18, 2016
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.
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Originally published on OpenAI Blog on 10/18/2016