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Hot PATE: Private Aggregation of Distributions for Diverse Task

Hot PATE: Private Aggregation of Distributions for Diverse Task

4 December 2023
Edith Cohen
Benjamin Cohen-Wang
Xin Lyu
Jelani Nelson
Tamás Sarlós
Uri Stemmer
ArXivPDFHTML

Papers citing "Hot PATE: Private Aggregation of Distributions for Diverse Task"

4 / 4 papers shown
Title
Better Locally Private Sparse Estimation Given Multiple Samples Per User
Better Locally Private Sparse Estimation Given Multiple Samples Per User
Yuheng Ma
Ke Jia
Hanfang Yang
FedML
36
1
0
08 Aug 2024
Privacy-Preserving In-Context Learning for Large Language Models
Privacy-Preserving In-Context Learning for Large Language Models
Tong Wu
Ashwinee Panda
Jiachen T. Wang
Prateek Mittal
46
29
0
02 May 2023
Differentially Private Fine-tuning of Language Models
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
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,296
0
17 Jan 2021
1