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Improving Utility and Security of the Shuffler-based Differential
  Privacy

Improving Utility and Security of the Shuffler-based Differential Privacy

30 August 2019
Tianhao Wang
Bolin Ding
Min Xu
Zhicong Huang
Cheng Hong
Jingren Zhou
Ninghui Li
S. Jha
ArXivPDFHTML

Papers citing "Improving Utility and Security of the Shuffler-based Differential Privacy"

3 / 3 papers shown
Title
Private Counting from Anonymous Messages: Near-Optimal Accuracy with
  Vanishing Communication Overhead
Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Rasmus Pagh
FedML
26
48
0
08 Jun 2021
Separating Local & Shuffled Differential Privacy via Histograms
Separating Local & Shuffled Differential Privacy via Histograms
Victor Balcer
Albert Cheu
FedML
37
67
0
15 Nov 2019
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
141
420
0
29 Nov 2018
1