Goto

Collaborating Authors

 seqp



SeqPA TE: Differentially Private Text Generation via Knowledge Distillation

Neural Information Processing Systems

P A TE is a recent DP learning algorithm that achieves high utility with strong privacy protection on training samples. However, text generation models output tokens sequentially in a large output space; the classic P A TE algorithm is not customized for this setting.