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Private and Utility Enhanced Recommendations with Local Differential Privacy and Gaussian Mixture Model

Private and Utility Enhanced Recommendations with Local Differential Privacy and Gaussian Mixture Model

Jeyamohan Neera
Xiaomin Chen
N. Aslam
Kezhi Wang
Zhan Shu
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Papers citing "Private and Utility Enhanced Recommendations with Local Differential Privacy and Gaussian Mixture Model"

6 / 6 papers shown
Title
Secure Federated Matrix Factorization
Secure Federated Matrix Factorization
Di Chai
Leye Wang
Kai Chen
Qiang Yang
FedML
44
319
0
12 Jun 2019
The Bounded Laplace Mechanism in Differential Privacy
The Bounded Laplace Mechanism in Differential Privacy
N. Holohan
S. Antonatos
S. Braghin
Pól Mac Aonghusa
35
65
0
30 Aug 2018
Generalized Gaussian Mechanism for Differential Privacy
Generalized Gaussian Mechanism for Differential Privacy
Fang Liu
105
135
0
19 Feb 2016
Fast Differentially Private Matrix Factorization
Fast Differentially Private Matrix Factorization
Ziqi Liu
Yu Wang
Alex Smola
FedML
89
124
0
06 May 2015
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
Ulfar Erlingsson
Vasyl Pihur
Aleksandra Korolova
92
1,992
0
25 Jul 2014
What Can We Learn Privately?
What Can We Learn Privately?
S. Kasiviswanathan
Homin K. Lee
Kobbi Nissim
Sofya Raskhodnikova
Adam D. Smith
126
1,465
0
06 Mar 2008

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