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. 1407.2662
  4. Cited By
Learning Privately with Labeled and Unlabeled Examples

Learning Privately with Labeled and Unlabeled Examples

10 July 2014
A. Beimel
Kobbi Nissim
Uri Stemmer
ArXivPDFHTML

Papers citing "Learning Privately with Labeled and Unlabeled Examples"

4 / 4 papers shown
Title
Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy
Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy
Bo Li
Wei Wang
Peng Ye
FedML
39
0
0
30 Jul 2024
An Equivalence Between Private Classification and Online Prediction
An Equivalence Between Private Classification and Online Prediction
Mark Bun
Roi Livni
Shay Moran
23
75
0
01 Mar 2020
Private PAC learning implies finite Littlestone dimension
Private PAC learning implies finite Littlestone dimension
N. Alon
Roi Livni
M. Malliaris
Shay Moran
23
109
0
04 Jun 2018
Sample Complexity Bounds on Differentially Private Learning via
  Communication Complexity
Sample Complexity Bounds on Differentially Private Learning via Communication Complexity
Vitaly Feldman
David Xiao
175
71
0
25 Feb 2014
1