Random Sequential Encoders for Private Data Release in NLP
There are many scenarios that motivate data owners to outsource the training of machine learning models on their data to external model developers. While doing so, it is of data owners’ best interests to keep their data private - meaning that no third party, including the model developer, can learn...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/144874 |