Related papers: Secure Linear Programming Using Privacy-Preserving…

This paper is withdrawn due to some errors, which are corrected in arXiv:0912.0071v4 [cs.LG].

This paper has been withdrawn by the author due to a crucial error in the definition of homomorphism.

This article has been withdrawn.

This paper was withdrawn on 20.11.97.

This paper has been withdrawn due to security loophole. We thank Dr G. P. he for pointing this to us.

With the rapid increase in computing, storage and networking resources, data is not only collected and stored, but also analyzed. This creates a serious privacy problem which often inhibits the use of this data. In this chapter, we…

This paper has been withdrawn by the author, due an error in claim 1.

Scientific collaborations benefit from collaborative learning of distributed sources, but remain difficult to achieve when data are sensitive. In recent years, privacy preserving techniques have been widely studied to analyze distributed…

This paper has been withdrawn by the author, due to a significant error in section 4.3.1.

This paper has been withdrawn by the author due to a error in attachment of source file.

This paper has been withdrawn by the author due to the incorrect argument for the security.

This paper has been withdrawn by the author

This paper has been withdrawn

Linear programming is a fundamental tool in a wide range of decision systems. However, without privacy protections, sharing the solution to a linear program may reveal information about the underlying data used to formulate it, which may be…

This paper has been withdrawn by the author due to crucial errors.

This paper has been withdrawn by the author due to some errors.

This paper has been withdrawn

This paper has been withdrawn by the authour.

This paper has been withdrawn by the author due to a crucial error.

This paper was withdrawn on 20.11.97.