Distributed anonymization: Achieving privacy for both data subjects and data providers
P Jurczyk, L Xiong - IFIP Annual Conference on Data and Applications …, 2009 - Springer
There is an increasing need for sharing data repositories containing personal information
across multiple distributed and private databases. However, such data sharing is subject to …
across multiple distributed and private databases. However, such data sharing is subject to …
A study of the effect of noise injection on the training of artificial neural networks
We studied the effect of noise injection in overcoming the problem of overtraining in the
training of artificial neural networks (ANNs) in comparison with other common approaches …
training of artificial neural networks (ANNs) in comparison with other common approaches …
Valid statistical analysis for logistic regression with multiple sources
Considerable effort has gone into understanding issues of privacy protection of individual
information in single databases, and various solutions have been proposed depending on …
information in single databases, and various solutions have been proposed depending on …
[PDF][PDF] Building privacy-preserving C4. 5 decision tree classifier on multi-parties
A Gangrade, R Patel - International Journal on Computer Science and …, 2009 - Citeseer
In this paper, we address Privacy-preserving classification problem in a multi-party sense.
We focus the general classification in a secured manner and introduce a Privacy-preserving …
We focus the general classification in a secured manner and introduce a Privacy-preserving …
[图书][B] Data privacy: The non-interactive setting
A Narayanan - 2009 - search.proquest.com
The Internet has enabled the collection, aggregation and analysis of personal data on a
massive scale. It has also enabled the sharing of collected data in various ways: wholesale …
massive scale. It has also enabled the sharing of collected data in various ways: wholesale …