Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning | NSF Public Access Repository

skip to main content

An official website of the United States government Here's how you know

Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Citation Details

Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning

Award ID(s):: 2133170 2531023

PAR ID:: 10631684

Author(s) / Creator(s):: Gao, F; Zhou, R; Wang, T; Shen, C; Yang, J

Publisher / Repository:: The Fourteenth International Conference on Learning Representations

Date Published:: 2025-04-14

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript
Conference Paper:
The DOI is not currently available.