We present FairplayMP (for "Fairplay Multi-Party"), a system for secure multi-party computation. Secure computation is one of the great achievements of modern cryptograp...
There are many applications for Secure Multi-Party Computation (SMC), but practical adoption is still an issue. One reason is that the business model of the application does not m...
Abstract. We introduce algebraic geometric techniques in secret sharing and in secure multi-party computation (MPC) in particular. The main result is a linear secret sharing scheme...
Secure Multi-Party Computation enables parties with private data to collaboratively compute a global function of their private data, without revealing that data. The increase in s...
Currently, companies are about to optimize their internal processes by monitoring items they handle with Radio Frequency Identification (RFID). However, there is a risk that sens...
The number of location-aware mobile devices has been rising for several years. As this trend continues, these devices may be able to use their location information to provide inte...
Abstract. We consider scenarios in which two parties, each in possession of a graph, wish to compute some algorithm on their joint graph in a privacy-preserving manner, that is, wi...
The secure multi-party computation (SMC) model provides means for balancing the use and confidentiality of distributed data. This is especially important in the field of privacy...
Abstract. We develop a new multi-party generalization of Naor-Nissim indirect indexing, making it possible for many participants to simulate a RAM machine with only poly-logarithmi...
Matthew K. Franklin, Mark Gondree, Payman Mohassel
In [7] we have proposed a model for the robust and private evaluation of a function within a group of cooperating mobile agents, called an agent Alliance. The model has been given...