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1402.6278
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Sample Complexity Bounds on Differentially Private Learning via Communication Complexity
25 February 2014
Vitaly Feldman
David Xiao
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Papers citing
"Sample Complexity Bounds on Differentially Private Learning via Communication Complexity"
16 / 16 papers shown
Title
An \tilde{O}ptimal Differentially Private Learner for Concept Classes with VC Dimension 1
Chao Yan
16
0
0
10 May 2025
Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy
Bo Li
Wei Wang
Peng Ye
FedML
31
0
0
30 Jul 2024
PILLAR: How to make semi-private learning more effective
Francesco Pinto
Yaxian Hu
Fanny Yang
Amartya Sanyal
46
11
0
06 Jun 2023
A Unified Characterization of Private Learnability via Graph Theory
N. Alon
Shay Moran
Hilla Schefler
Amir Yehudayoff
29
2
0
08 Apr 2023
Certified private data release for sparse Lipschitz functions
Konstantin Donhauser
J. Lokna
Amartya Sanyal
M. Boedihardjo
R. Honig
Fanny Yang
39
3
0
19 Feb 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
Memory Bounds for Continual Learning
Xi Chen
Christos H. Papadimitriou
Binghui Peng
CLL
LRM
29
22
0
22 Apr 2022
Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach
Mohammad Fereydounian
Aryan Mokhtari
Ramtin Pedarsani
Hamed Hassani
FedML
24
2
0
18 Feb 2022
Reproducibility in Learning
R. Impagliazzo
Rex Lei
T. Pitassi
Jessica Sorrell
16
43
0
20 Jan 2022
Quantum statistical query learning
Srinivasan Arunachalam
A. Grilo
Henry Yuen
15
32
0
19 Feb 2020
Privately Learning Thresholds: Closing the Exponential Gap
Haim Kaplan
Katrina Ligett
Yishay Mansour
M. Naor
Uri Stemmer
15
55
0
22 Nov 2019
Private PAC learning implies finite Littlestone dimension
N. Alon
Roi Livni
M. Malliaris
Shay Moran
13
109
0
04 Jun 2018
Privacy-preserving Prediction
Cynthia Dwork
Vitaly Feldman
8
90
0
27 Mar 2018
Order-Revealing Encryption and the Hardness of Private Learning
Mark Bun
Mark Zhandry
FedML
30
34
0
03 May 2015
Learning Privately with Labeled and Unlabeled Examples
A. Beimel
Kobbi Nissim
Uri Stemmer
35
23
0
10 Jul 2014
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