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. 2004.10941
  4. Cited By
Private Query Release Assisted by Public Data

Private Query Release Assisted by Public Data

23 April 2020
Raef Bassily
Albert Cheu
Shay Moran
Aleksandar Nikolov
Jonathan R. Ullman
Zhiwei Steven Wu
ArXivPDFHTML

Papers citing "Private Query Release Assisted by Public Data"

12 / 12 papers shown
Title
Credit Attribution and Stable Compression
Credit Attribution and Stable Compression
Roi Livni
Shay Moran
Kobbi Nissim
Chirag Pabbaraju
49
0
0
22 Jun 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
PCDP-SGD: Improving the Convergence of Differentially Private SGD via Projection in Advance
PCDP-SGD: Improving the Convergence of Differentially Private SGD via Projection in Advance
Haichao Sha
Ruixuan Liu
Yi-xiao Liu
Hong Chen
52
1
0
06 Dec 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
42
11
0
11 Aug 2023
Selective Pre-training for Private Fine-tuning
Selective Pre-training for Private Fine-tuning
Da Yu
Sivakanth Gopi
Janardhan Kulkarni
Zinan Lin
Saurabh Naik
Tomasz Religa
Jian Yin
Huishuai Zhang
35
19
0
23 May 2023
Mean Estimation Under Heterogeneous Privacy: Some Privacy Can Be Free
Mean Estimation Under Heterogeneous Privacy: Some Privacy Can Be Free
Syomantak Chaudhuri
T. Courtade
27
4
0
27 Apr 2023
Private Estimation with Public Data
Private Estimation with Public Data
Alex Bie
Gautam Kamath
Vikrant Singhal
36
28
0
16 Aug 2022
Public Data-Assisted Mirror Descent for Private Model Training
Public Data-Assisted Mirror Descent for Private Model Training
Ehsan Amid
Arun Ganesh
Rajiv Mathews
Swaroop Indra Ramaswamy
Shuang Song
Thomas Steinke
Vinith M. Suriyakumar
Om Thakkar
Abhradeep Thakurta
13
49
0
01 Dec 2021
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
347
0
13 Oct 2021
Iterative Methods for Private Synthetic Data: Unifying Framework and New
  Methods
Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods
Terrance Liu
G. Vietri
Zhiwei Steven Wu
SyDa
27
61
0
14 Jun 2021
Privately Learning Subspaces
Privately Learning Subspaces
Vikrant Singhal
Thomas Steinke
19
20
0
28 May 2021
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace
  Identification
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification
Yingxue Zhou
Zhiwei Steven Wu
A. Banerjee
21
106
0
07 Jul 2020
1