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Optimal Schemes for Discrete Distribution Estimation under Locally
  Differential Privacy

Optimal Schemes for Discrete Distribution Estimation under Locally Differential Privacy

2 February 2017
Min Ye
A. Barg
ArXivPDFHTML

Papers citing "Optimal Schemes for Discrete Distribution Estimation under Locally Differential Privacy"

28 / 28 papers shown
Title
Revisiting Locally Differentially Private Protocols: Towards Better Trade-offs in Privacy, Utility, and Attack Resistance
Revisiting Locally Differentially Private Protocols: Towards Better Trade-offs in Privacy, Utility, and Attack Resistance
Héber H. Arcolezi
Sébastien Gambs
AAML
56
0
0
03 Mar 2025
Revealing the True Cost of Locally Differentially Private Protocols: An
  Auditing Perspective
Revealing the True Cost of Locally Differentially Private Protocols: An Auditing Perspective
Héber H. Arcolezi
Sébastien Gambs
40
1
0
04 Sep 2023
(Local) Differential Privacy has NO Disparate Impact on Fairness
(Local) Differential Privacy has NO Disparate Impact on Fairness
Héber H. Arcolezi
K. Makhlouf
C. Palamidessi
40
6
0
25 Apr 2023
Privacy Amplification via Shuffling: Unified, Simplified, and Tightened
Privacy Amplification via Shuffling: Unified, Simplified, and Tightened
Shaowei Wang
FedML
26
9
0
11 Apr 2023
Discrete Distribution Estimation under User-level Local Differential
  Privacy
Discrete Distribution Estimation under User-level Local Differential Privacy
Jayadev Acharya
Yuhan Liu
Ziteng Sun
35
16
0
07 Nov 2022
Contraction of Locally Differentially Private Mechanisms
Contraction of Locally Differentially Private Mechanisms
S. Asoodeh
Huanyu Zhang
26
10
0
24 Oct 2022
Algorithms with More Granular Differential Privacy Guarantees
Algorithms with More Granular Differential Privacy Guarantees
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Thomas Steinke
67
6
0
08 Sep 2022
Privacy Aware Experimentation over Sensitive Groups: A General Chi
  Square Approach
Privacy Aware Experimentation over Sensitive Groups: A General Chi Square Approach
R. Friedberg
Ryan M. Rogers
29
3
0
17 Aug 2022
Stronger Privacy Amplification by Shuffling for Rényi and Approximate
  Differential Privacy
Stronger Privacy Amplification by Shuffling for Rényi and Approximate Differential Privacy
Vitaly Feldman
Audra McMillan
Kunal Talwar
FedML
29
47
0
09 Aug 2022
Optimal Algorithms for Mean Estimation under Local Differential Privacy
Optimal Algorithms for Mean Estimation under Local Differential Privacy
Hilal Asi
Vitaly Feldman
Kunal Talwar
40
41
0
05 May 2022
Optimal Compression of Locally Differentially Private Mechanisms
Optimal Compression of Locally Differentially Private Mechanisms
Abhin Shah
Wei-Ning Chen
Johannes Ballé
Peter Kairouz
Lucas Theis
35
42
0
29 Oct 2021
VPT: Privacy Preserving Energy Trading and Block Mining Mechanism for
  Blockchain based Virtual Power Plants
VPT: Privacy Preserving Energy Trading and Block Mining Mechanism for Blockchain based Virtual Power Plants
M. Hassan
M. H. Rehmani
Jinjun Chen
28
7
0
02 Feb 2021
Inference under Information Constraints III: Local Privacy Constraints
Inference under Information Constraints III: Local Privacy Constraints
Jayadev Acharya
C. Canonne
Cody R. Freitag
Ziteng Sun
Himanshu Tyagi
41
35
0
20 Jan 2021
Unified lower bounds for interactive high-dimensional estimation under
  information constraints
Unified lower bounds for interactive high-dimensional estimation under information constraints
Jayadev Acharya
C. Canonne
Ziteng Sun
Himanshu Tyagi
31
29
0
13 Oct 2020
Learning discrete distributions: user vs item-level privacy
Learning discrete distributions: user vs item-level privacy
Yuhan Liu
A. Suresh
Felix X. Yu
Sanjiv Kumar
Michael Riley
FedML
25
52
0
27 Jul 2020
Breaking the Communication-Privacy-Accuracy Trilemma
Breaking the Communication-Privacy-Accuracy Trilemma
Wei-Ning Chen
Peter Kairouz
Ayfer Özgür
14
116
0
22 Jul 2020
Interactive Inference under Information Constraints
Interactive Inference under Information Constraints
Jayadev Acharya
C. Canonne
Yuhan Liu
Ziteng Sun
Himanshu Tyagi
31
35
0
21 Jul 2020
Fisher information under local differential privacy
Fisher information under local differential privacy
L. P. Barnes
Wei-Ning Chen
Ayfer Özgür
FedML
25
47
0
21 May 2020
Differentially Private Assouad, Fano, and Le Cam
Differentially Private Assouad, Fano, and Le Cam
Jayadev Acharya
Ziteng Sun
Huanyu Zhang
FedML
23
57
0
14 Apr 2020
Privacy-Preserving Boosting in the Local Setting
Privacy-Preserving Boosting in the Local Setting
Sen Wang
J.Morris Chang
FedML
26
3
0
06 Feb 2020
Private Identity Testing for High-Dimensional Distributions
Private Identity Testing for High-Dimensional Distributions
C. Canonne
Gautam Kamath
Audra McMillan
Jonathan R. Ullman
Lydia Zakynthinou
37
36
0
28 May 2019
Communication Complexity in Locally Private Distribution Estimation and
  Heavy Hitters
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters
Jayadev Acharya
Ziteng Sun
14
60
0
28 May 2019
Federated Heavy Hitters Discovery with Differential Privacy
Federated Heavy Hitters Discovery with Differential Privacy
Wennan Zhu
Peter Kairouz
H. B. McMahan
Haicheng Sun
Wei Li
FedML
18
106
0
22 Feb 2019
Lower Bounds for Locally Private Estimation via Communication Complexity
Lower Bounds for Locally Private Estimation via Communication Complexity
John C. Duchi
Ryan M. Rogers
13
93
0
01 Feb 2019
Calibrate: Frequency Estimation and Heavy Hitter Identification with
  Local Differential Privacy via Incorporating Prior Knowledge
Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge
Jinyuan Jia
Neil Zhenqiang Gong
11
40
0
05 Dec 2018
Locally Differentially-Private Randomized Response for Discrete
  Distribution Learning
Locally Differentially-Private Randomized Response for Discrete Distribution Learning
A. Pastore
Michael C. Gastpar
FedML
16
10
0
29 Nov 2018
Geometric Lower Bounds for Distributed Parameter Estimation under
  Communication Constraints
Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints
Yanjun Han
Ayfer Özgür
Tsachy Weissman
40
90
0
23 Feb 2018
Empirical Risk Minimization in Non-interactive Local Differential
  Privacy: Efficiency and High Dimensional Case
Empirical Risk Minimization in Non-interactive Local Differential Privacy: Efficiency and High Dimensional Case
Di Wang
Marco Gaboardi
Jinhui Xu
23
60
0
12 Feb 2018
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