Split-and-Denoise: Protect large language model inference with local differential privacy

13 October 2023

Papers citing "Split-and-Denoise: Protect large language model inference with local differential privacy"

6 / 6 papers shown

Title
Navigating LLM Ethics: Advancements, Challenges, and Future Directions Junfeng Jiao S. Afroogh Yiming Xu Connor Phillips AILaw 60 19 0 14 May 2024
A Split-and-Privatize Framework for Large Language Model Fine-Tuning Xicong Shen Yang Liu Huiqi Liu Jue Hong Bing Duan Zirui Huang Yunlong Mao Ye Wu Di Wu 65 11 0 25 Dec 2023
Bounding Training Data Reconstruction in Private (Deep) Learning Chuan Guo Brian Karrer Kamalika Chaudhuri L. V. D. van der Maaten 103 53 0 28 Jan 2022
Differentially Private Fine-tuning of Language Models Da Yu Saurabh Naik A. Backurs Sivakanth Gopi Huseyin A. Inan ... Y. Lee Andre Manoel Lukas Wutschitz Sergey Yekhanin Huishuai Zhang 134 344 0 13 Oct 2021
Explainable Automated Fact-Checking for Public Health Claims Neema Kotonya Francesca Toni 216 249 0 19 Oct 2020
Efficient Intent Detection with Dual Sentence Encoders I. Casanueva Tadas Temvcinas D. Gerz Matthew Henderson Ivan Vulić VLM 176 450 0 10 Mar 2020