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Frequency Estimation Under Multiparty Differential Privacy: One-shot and
  Streaming

Frequency Estimation Under Multiparty Differential Privacy: One-shot and Streaming

5 April 2021
Ziyue Huang
Yuan Qiu
K. Yi
Graham Cormode
ArXivPDFHTML

Papers citing "Frequency Estimation Under Multiparty Differential Privacy: One-shot and Streaming"

6 / 6 papers shown
Title
Differentially Private Set Representations
Differentially Private Set Representations
Sarvar Patel
G. Persiano
Joon Young Seo
Kevin Yeo
74
0
0
28 Jan 2025
A Unifying Framework for Differentially Private Sums under Continual
  Observation
A Unifying Framework for Differentially Private Sums under Continual Observation
Monika Henzinger
Jalaj Upadhyay
Sarvagya Upadhyay
FedML
31
15
0
18 Jul 2023
A Smooth Binary Mechanism for Efficient Private Continual Observation
A Smooth Binary Mechanism for Efficient Private Continual Observation
Joel Daniel Andersson
Rasmus Pagh
27
12
0
16 Jun 2023
Almost Tight Error Bounds on Differentially Private Continual Counting
Almost Tight Error Bounds on Differentially Private Continual Counting
Monika Henzinger
Jalaj Upadhyay
Sarvagya Upadhyay
FedML
16
38
0
09 Nov 2022
Improved Utility Analysis of Private CountSketch
Improved Utility Analysis of Private CountSketch
Rasmus Pagh
M. Thorup
FedML
34
20
0
17 May 2022
Amplification by Shuffling: From Local to Central Differential Privacy
  via Anonymity
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
Ulfar Erlingsson
Vitaly Feldman
Ilya Mironov
A. Raghunathan
Kunal Talwar
Abhradeep Thakurta
150
420
0
29 Nov 2018
1