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Minimax Filter: Learning to Preserve Privacy from Inference Attacks

Minimax Filter: Learning to Preserve Privacy from Inference Attacks

12 October 2016
Jihun Hamm
ArXivPDFHTML

Papers citing "Minimax Filter: Learning to Preserve Privacy from Inference Attacks"

6 / 6 papers shown
Title
Learning Privately from Multiparty Data
Learning Privately from Multiparty Data
Jihun Hamm
Yingjun Cao
M. Belkin
FedML
45
165
0
10 Feb 2016
Privacy Against Statistical Inference
Privacy Against Statistical Inference
Flavio du Pin Calmon
N. Fawaz
FedML
140
346
0
08 Oct 2012
Differential Privacy for Functions and Functional Data
Differential Privacy for Functions and Functional Data
Rob Hall
Alessandro Rinaldo
Larry A. Wasserman
82
183
0
12 Mar 2012
Discriminately Decreasing Discriminability with Learned Image Filters
Discriminately Decreasing Discriminability with Learned Image Filters
Jacob Whitehill
J. Movellan
CVBM
73
24
0
04 Oct 2011
Differential Privacy: on the trade-off between Utility and Information
  Leakage
Differential Privacy: on the trade-off between Utility and Information Leakage
Mário S. Alvim
M. Andrés
K. Chatzikokolakis
P. Degano
C. Palamidessi
94
147
0
27 Mar 2011
What Can We Learn Privately?
What Can We Learn Privately?
S. Kasiviswanathan
Homin K. Lee
Kobbi Nissim
Sofya Raskhodnikova
Adam D. Smith
130
1,465
0
06 Mar 2008
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