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Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy

Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy

Rachel Redberg
Yuqing Zhu
Yu Wang
ArXiv (abs)PDFHTML

Papers citing "Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy"

5 / 5 papers shown
Title
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
Fengyu Gao
Ruida Zhou
T. Wang
Cong Shen
Jing Yang
87
3
0
15 Oct 2024
Adaptively Private Next-Token Prediction of Large Language Models
Adaptively Private Next-Token Prediction of Large Language Models
James Flemings
Meisam Razaviyayn
Murali Annavaram
125
1
0
02 Oct 2024
Differentially Private Next-Token Prediction of Large Language Models
Differentially Private Next-Token Prediction of Large Language Models
James Flemings
Meisam Razaviyayn
Murali Annavaram
104
7
0
22 Mar 2024
Privacy Profiles for Private Selection
Privacy Profiles for Private Selection
Antti Koskela
Rachel Redberg
Yu-Xiang Wang
78
2
0
09 Feb 2024
A Randomized Approach for Tight Privacy Accounting
A Randomized Approach for Tight Privacy Accounting
Jiachen T. Wang
Saeed Mahloujifar
Tong Wu
R. Jia
Prateek Mittal
106
10
0
17 Apr 2023

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