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Privacy Enhancement via Dummy Points in the Shuffle Model

Privacy Enhancement via Dummy Points in the Shuffle Model

29 September 2020
Xiaochen Li
Weiran Liu
Hanwen Feng
Kunzhe Huang
Jinfei Liu
K. Ren
Zhan Qin
    FedML
ArXivPDFHTML

Papers citing "Privacy Enhancement via Dummy Points in the Shuffle Model"

4 / 4 papers shown
Title
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
Private Aggregation from Fewer Anonymous Messages
Private Aggregation from Fewer Anonymous Messages
Badih Ghazi
Pasin Manurangsi
Rasmus Pagh
A. Velingker
FedML
42
55
0
24 Sep 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
Optimal Differentially Private Mechanisms for Randomised Response
Optimal Differentially Private Mechanisms for Randomised Response
N. Holohan
D. Leith
O. Mason
30
62
0
16 Dec 2016
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