Private text synthesis paper accepted to PETS 2027, author says
The author describes synthetic text as a promising way to learn from user data without exposing it.
TLDR
An author announced that “Distributed and Private Textual Data Synthesis from Embeddings” has been accepted to the 2027 Privacy Enhancing Technologies Symposium. They frame synthetic text as a promising approach to learning from user data without exposing it.
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