ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.09483
  4. Cited By
Why Is Public Pretraining Necessary for Private Model Training?

Why Is Public Pretraining Necessary for Private Model Training?

19 February 2023
Arun Ganesh
Mahdi Haghifam
Milad Nasr
Sewoong Oh
Thomas Steinke
Om Thakkar
Abhradeep Thakurta
Lun Wang
ArXivPDFHTML

Papers citing "Why Is Public Pretraining Necessary for Private Model Training?"

11 / 11 papers shown
Title
Training Large ASR Encoders with Differential Privacy
Training Large ASR Encoders with Differential Privacy
Geeticka Chauhan
Steve Chien
Om Thakkar
Abhradeep Thakurta
Arun Narayanan
33
1
0
21 Sep 2024
Public-data Assisted Private Stochastic Optimization: Power and
  Limitations
Public-data Assisted Private Stochastic Optimization: Power and Limitations
Enayat Ullah
Michael Menart
Raef Bassily
Cristóbal Guzmán
Raman Arora
30
1
0
06 Mar 2024
Private Fine-tuning of Large Language Models with Zeroth-order Optimization
Private Fine-tuning of Large Language Models with Zeroth-order Optimization
Xinyu Tang
Ashwinee Panda
Milad Nasr
Saeed Mahloujifar
Prateek Mittal
44
18
0
09 Jan 2024
Unintended Memorization in Large ASR Models, and How to Mitigate It
Unintended Memorization in Large ASR Models, and How to Mitigate It
Lun Wang
Om Thakkar
Rajiv Mathews
33
5
0
18 Oct 2023
Private Distribution Learning with Public Data: The View from Sample
  Compression
Private Distribution Learning with Public Data: The View from Sample Compression
Shai Ben-David
Alex Bie
C. Canonne
Gautam Kamath
Vikrant Singhal
35
11
0
11 Aug 2023
Differentially Private Synthetic Data via Foundation Model APIs 1:
  Images
Differentially Private Synthetic Data via Foundation Model APIs 1: Images
Zi-Han Lin
Sivakanth Gopi
Janardhan Kulkarni
Harsha Nori
Sergey Yekhanin
39
36
0
24 May 2023
Can Public Large Language Models Help Private Cross-device Federated
  Learning?
Can Public Large Language Models Help Private Cross-device Federated Learning?
Boxin Wang
Yibo Zhang
Yuan Cao
Bo-wen Li
H. B. McMahan
Sewoong Oh
Zheng Xu
Manzil Zaheer
FedML
24
37
0
20 May 2023
Private Convex Optimization via Exponential Mechanism
Private Convex Optimization via Exponential Mechanism
Sivakanth Gopi
Y. Lee
Daogao Liu
81
52
0
01 Mar 2022
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
346
0
13 Oct 2021
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for
  Private Learning
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning
Da Yu
Huishuai Zhang
Wei Chen
Tie-Yan Liu
FedML
SILM
94
110
0
25 Feb 2021
Leveraging Public Data for Practical Private Query Release
Leveraging Public Data for Practical Private Query Release
Terrance Liu
G. Vietri
Thomas Steinke
Jonathan R. Ullman
Zhiwei Steven Wu
150
58
0
17 Feb 2021
1