Secure Matrix Multiplication Protocol

A two-party secure computation protocol for computing matrix multiplication. This repo includes the implementation of our paper More Practical Privacy-Preserving Machine Learning as A Service via Efficient Secure Matrix Multiplication.

• Use HElib as the basic FHE implementation.

  • Install NTL, GMP
  • plz use the fork version in the submodule.

• Use Boost network library

• Build

  • pull the submodule, git submodule init && git submodule update
  • create the build dir, mkdir build && cd build
  • cmake and make cmake -DCMAKE_BUILD_TYPE=Release .. && make
  • check out the executables in build/bin

• Main Executable

  • bin/SMP with parameters R, a, N, M and D

    Usage: bin/SMP [ name=value ]...
     N       n1  [ default=8 ]
     M       n2  [ default=8 ]
     D       n3  [ default=8 ]
     R       role. 0 for server and 1 for client  [ default=-1 ]
     a       server address  [ default=127.0.0.1 ]
     p       port  [ default=12345 ]
    
    

  • The client holds a N*M matrix (generated randomly inside the program), and the server holds a M*D matrix (generated randomly inside the program).
  • The computed N*D matrix will be sent back to the client.

• Contact Any question, plz contact fionser_AT_gmail.com