InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy

Neural Information Processing Systems 

As major progress in LLM-based long-form text generation enables paradigms such as retrieval-augmented generation (RAG) and inference-time scaling, safely incorporating private information into the generation remains a critical open question.

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