Daniel Ramage

Learning Differentially Private Recurrent Language Models

2017 · arXiv (Cornell University)

We demonstrate that it is possible to train large recurrent language models with user-level differential privacy guarantees with only a negligible cost in predictive accuracy. Our work builds on recent advances in the training of …