Hide and Seek (HaS): A Lightweight Framework for Prompt Privacy Protection

6 September 2023

Papers citing "Hide and Seek (HaS): A Lightweight Framework for Prompt Privacy Protection"

6 / 6 papers shown

Title
DP-GPL: Differentially Private Graph Prompt Learning Jing Xu Franziska Boenisch Iyiola Emmanuel Olatunji Adam Dziedzic AAML 109 0 0 13 Mar 2025
LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice M. Mikail Demir Hakan T. Otal M. A. Canbaz AILaw 88 0 0 19 Jan 2025
Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions Hao Du Shang Liu Lele Zheng Yang Cao Atsuyoshi Nakamura Lei Chen AAML 155 5 0 21 Dec 2024
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration Huiping Zhuang Jianwei Wang Zhengdong Lu Huiping Zhuang Haoran Li Huiping Zhuang Cen Chen RALM KELM 105 8 0 03 Jun 2024
CTRL: A Conditional Transformer Language Model for Controllable Generation N. Keskar Bryan McCann Lav Varshney Caiming Xiong R. Socher AI4CE 130 1,239 0 11 Sep 2019
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 408 17,593 0 17 Feb 2016