One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks

Manuel Senge, Timour Igamberdiev, Ivan Habernal

Preserving privacy in contemporary NLP models allows us to work with sensitive data, but unfortunately comes at a price. We know that stricter privacy guarantees in differentially-…