The importance of privacy in Machine Learning is growing and several open source libraries have been developed by Google, IBM. Let’s check out a multi-text classification example.
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Privacy ML
Optimistic Machine Learning-privacy satisfying accurate models Motivation Machine learning models have been known to leak information about the individual data records on which they were trained. One of the mechanisms include : membership inference attack: Where a data record and black-box access to a model is used to determine if the record was in the model’s training dataset. Membership inference against a target model uses adversarial machine learning to train custom interface models to recognise […]
