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Learning in a Large Function Space: Privacy-Preserving Mechanisms for
  SVM Learning

Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning

30 November 2009
Benjamin I. P. Rubinstein
Peter L. Bartlett
Ling Huang
N. Taft
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Papers citing "Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning"

5 / 5 papers shown
Title
Almost-everywhere algorithmic stability and generalization error
Almost-everywhere algorithmic stability and generalization error
S. Kutin
P. Niyogi
45
173
0
12 Dec 2012
A Learning Theory Approach to Non-Interactive Database Privacy
A Learning Theory Approach to Non-Interactive Database Privacy
Avrim Blum
Katrina Ligett
Aaron Roth
68
550
0
10 Sep 2011
Differentially Private Empirical Risk Minimization
Differentially Private Empirical Risk Minimization
Kamalika Chaudhuri
C. Monteleoni
Anand D. Sarwate
93
1,482
0
01 Dec 2009
On the Geometry of Differential Privacy
On the Geometry of Differential Privacy
Moritz Hardt
Kunal Talwar
92
462
0
21 Jul 2009
What Can We Learn Privately?
What Can We Learn Privately?
S. Kasiviswanathan
Homin K. Lee
Kobbi Nissim
Sofya Raskhodnikova
Adam D. Smith
99
1,459
0
06 Mar 2008
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