Since its introduction by Andrew Yao in the 1980s, multi-party
computation has developed from a theoretical curiosity to an
important tool for building large-scale privacy-preserving
applications. Secure multi-party computation (MPC) enables a group
to jointly perform a computation without disclosing any
participant's private inputs. The participants agree on a function
to compute, and then can use an MPC protocol to jointly compute the
output of that function on their secret inputs without revealing
them. This monograph provides an introduction to multi-party
computation for practitioners interested in building
privacy-preserving applications and researchers who want to work in
the area. The authors introduce the foundations of MPC and describe
the current state of the art. The goal is to enable readers to
understand what is possible today, and what may be possible in the
future. It provides a starting point for building applications
using MPC and for developing MPC protocols, implementations, tools,
and applications. Those seeking a concise, accessible introduction
to the topic which quickly enables them to build practical systems
or conduct further research will find this essential reading.
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