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1911.10137
Cited By
Privately Learning Thresholds: Closing the Exponential Gap
22 November 2019
Haim Kaplan
Katrina Ligett
Yishay Mansour
M. Naor
Uri Stemmer
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Papers citing
"Privately Learning Thresholds: Closing the Exponential Gap"
12 / 12 papers shown
Title
An \tilde{O}ptimal Differentially Private Learner for Concept Classes with VC Dimension 1
Chao Yan
18
0
0
10 May 2025
Unbounded Differentially Private Quantile and Maximum Estimation
D. Durfee
41
6
0
02 May 2023
Private Isotonic Regression
Badih Ghazi
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
21
0
0
27 Oct 2022
Algorithms with More Granular Differential Privacy Guarantees
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Thomas Steinke
56
6
0
08 Sep 2022
Reproducibility in Learning
R. Impagliazzo
Rex Lei
T. Pitassi
Jessica Sorrell
21
43
0
20 Jan 2022
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
Haim Kaplan
Shachar Schnapp
Uri Stemmer
13
18
0
11 Oct 2021
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
Haim Kaplan
Yishay Mansour
Uri Stemmer
38
17
0
02 Oct 2020
E
psolute
\mathcal{E}\text{psolute}
E
psolute
: Efficiently Querying Databases While Providing Differential Privacy
Dmytro Bogatov
Georgios Kellaris
G. Kollios
Kobbi Nissim
Adam OÑeill
9
21
0
05 Jun 2017
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
Vitaly Feldman
David Xiao
172
71
0
25 Feb 2014
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