212 search results - page 1 / 43 » Privacy-Preserving Deep Learning |
MLDM
2007
Springer
13 years 10 months ago
2007
Springer
DMIN
2006
13 years 5 months ago
2006
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
SAC
2005
ACM
13 years 9 months ago
2005
ACM
Machine learning techniques are widely used in negotiation systems. To get more accurate and satisfactory learning results, negotiation parties have the desire to employ learning ...
NCA
2011
IEEE
12 years 11 months ago
2011
IEEE
—Neural Networks have been an active research area for decades. However, privacy bothers many when the training dataset for the neural networks is distributed between two parties...
FC
2009
Springer
13 years 8 months ago
2009
Springer
We present an efficient protocol for the privacy-preserving, distributed learning of decision-tree classifiers. Our protocol allows a user to construct a classifier on a database h...