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. 1911.10137
  4. Cited By
Privately Learning Thresholds: Closing the Exponential Gap

Privately Learning Thresholds: Closing the Exponential Gap

22 November 2019
Haim Kaplan
Katrina Ligett
Yishay Mansour
M. Naor
Uri Stemmer
ArXivPDFHTML

Papers citing "Privately Learning Thresholds: Closing the Exponential Gap"

13 / 13 papers shown
Title
An \tilde{O}ptimal Differentially Private Learner for Concept Classes with VC Dimension 1
An \tilde{O}ptimal Differentially Private Learner for Concept Classes with VC Dimension 1
Chao Yan
21
0
0
10 May 2025
Unbounded Differentially Private Quantile and Maximum Estimation
Unbounded Differentially Private Quantile and Maximum Estimation
D. Durfee
41
6
0
02 May 2023
Private Isotonic Regression
Private Isotonic Regression
Badih Ghazi
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
21
0
0
27 Oct 2022
Algorithms with More Granular Differential Privacy Guarantees
Algorithms with More Granular Differential Privacy Guarantees
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Thomas Steinke
59
6
0
08 Sep 2022
Reproducibility in Learning
Reproducibility in Learning
R. Impagliazzo
Rex Lei
T. Pitassi
Jessica Sorrell
21
43
0
20 Jan 2022
FriendlyCore: Practical Differentially Private Aggregation
FriendlyCore: Practical Differentially Private Aggregation
Eliad Tsfadia
E. Cohen
Haim Kaplan
Yishay Mansour
Uri Stemmer
20
33
0
19 Oct 2021
Differentially Private Approximate Quantiles
Differentially Private Approximate Quantiles
Haim Kaplan
Shachar Schnapp
Uri Stemmer
15
18
0
11 Oct 2021
A Framework for Adversarial Streaming via Differential Privacy and
  Difference Estimators
A Framework for Adversarial Streaming via Differential Privacy and Difference Estimators
Idan Attias
E. Cohen
M. Shechner
Uri Stemmer
26
29
0
30 Jul 2021
The Sparse Vector Technique, Revisited
The Sparse Vector Technique, Revisited
Haim Kaplan
Yishay Mansour
Uri Stemmer
38
17
0
02 Oct 2020
An Equivalence Between Private Classification and Online Prediction
An Equivalence Between Private Classification and Online Prediction
Mark Bun
Roi Livni
Shay Moran
21
75
0
01 Mar 2020
$\mathcal{E}\text{psolute}$: Efficiently Querying Databases While
  Providing Differential Privacy
Epsolute\mathcal{E}\text{psolute}Epsolute: Efficiently Querying Databases While Providing Differential Privacy
Dmytro Bogatov
Georgios Kellaris
G. Kollios
Kobbi Nissim
Adam OÑeill
11
21
0
05 Jun 2017
Learning Privately with Labeled and Unlabeled Examples
Learning Privately with Labeled and Unlabeled Examples
A. Beimel
Kobbi Nissim
Uri Stemmer
35
23
0
10 Jul 2014
Sample Complexity Bounds on Differentially Private Learning via
  Communication Complexity
Sample Complexity Bounds on Differentially Private Learning via Communication Complexity
Vitaly Feldman
David Xiao
172
71
0
25 Feb 2014
1