Paper Title:
Based on Privacy Preserving for Back-Propagation Neural Network Learning Algorithm

Neural network learning algorithms are widely used in medical diagnosis, bioinformatics, intrusion detection, homeland security and other fields. The common of these applications is that all of them need to extract patterns and predict trends from a large number of complex data. In these applications, how to protect the privacy of sensitive data and personal information from disclosure is an important issue. At present, the vast majority of existing neural network learning algorithms did not consider how to protect the data privacy in the process of learning. So this paper proposes two privacy-preserving back-propagation neural network protocols applied to horizontally partitioned data and vertically partitioned data separately. The two protocols are suitable for multiple participants in a distributed environment. The results of experiments show the difference of the test error rate between the proposed two protocols and the respective non-privacy preserving versions.

Advanced Materials Research (Volumes 271-273)
Edited by
Junqiao Xiong
J. Wang, "Based on Privacy Preserving for Back-Propagation Neural Network Learning Algorithm", Advanced Materials Research, Vols. 271-273, pp. 857-862, 2011
Online since
July 2011
Authors: Xuan Luo, Shi Jie Wang, Xiao Ren Lv, Hao Sun
Abstract:ESPCP is a new way of well lifting. The speed optimization is the main way to improve economic index of ESPCP system. By analyzing the main...
Authors: Xiao Yong Li, Fan Jie Bu
Chapter 1: Advances in Manufacturing Engineering Techniques and Materials Science
Abstract:In recent years artificial neural networks (ANNs) have been applied to many geotechnical engineering problems with some degree of success....
Authors: Bing Hua Mo, Zi Nan Pan
Chapter 15: Materials Processing Technology
Abstract:A neural network model is established to predict the joint quality in resistance microwelding (RMW) of fine Cu wire and stainless steel thin...
Authors: Bo Zhao
Chapter 1: Energy Materials and Material Applications with Analysis of Material Properties
Abstract:The filtration properties of melt blowing nonwovens are affected by the pore structure of nonwovens which is strongly related to the...
Authors: Xue Min Zhang, Zhen Dong Mu
Chapter 16: Application of Information and Network Technology
Abstract:After years of development, the neural network classification, clustering and forecasting applications have a lot of development, but the...