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TPMDP: Threshold Personalized Multi-party Differential Privacy via Optimal Gaussian Mechanism

TPMDP: Threshold Personalized Multi-party Differential Privacy via Optimal Gaussian Mechanism

Jiandong Liu
Lan Zhang
Chaojie Lv
Ting Yu
N. Freris
Xiang-Yang Li
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Papers citing "TPMDP: Threshold Personalized Multi-party Differential Privacy via Optimal Gaussian Mechanism"

4 / 4 papers shown
Title
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising
Borja Balle
Yu Wang
MLT
68
406
0
16 May 2018
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedML
SyDa
201
6,121
0
01 Jul 2016
The Optimal Mechanism in Differential Privacy: Multidimensional Setting
The Optimal Mechanism in Differential Privacy: Multidimensional Setting
Quan Geng
Pramod Viswanath
119
123
0
02 Dec 2013
Distributed Private Data Analysis: On Simultaneously Solving How and What
Distributed Private Data Analysis: On Simultaneously Solving How and What
A. Beimel
Kobbi Nissim
Eran Omri
FedML
106
207
0
14 Mar 2011

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