Secure multi-party computation: Difference between revisions

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* [https://web.archive.org/web/20110105121420/http://alexandra.dk/uk/Projects/Pages/SIMAP.aspx The SIMAP project]; Secure Information Management and Processing (SIMAP) is a project sponsored by the Danish National Research Agency aimed implementing Secure Multiparty Computation.
* [http://www.brics.dk/SMCL/ Secure Multiparty Computation Language] - project for development of a '___domain specific programming language for secure multiparty computation' and associated cryptographic runtime.
* [http://viff.dk/ VIFF: Virtual Ideal Functionality Framework] — Framework for asynchronous multi-party computations (code available under the [[LGPL]]). Offers arithmetic with secret shared values including secure comparison.
* [https://www.win.tue.nl/~berry/mpyc/ MPyC]: Secure Multiparty Computation in [[Python (programming language)|Python]] (and [[Project Jupyter|Jupyter notebooks]]) — Open-source package for MPC using a customized type of Python coroutines, supporting advanced applications such as ID3 decision trees, linear programming, CNN/MLP neural networks, AES, one-way hash chains, and many more. Launched in May 2018.
* [https://homes.esat.kuleuven.be/~nsmart/SCALE/ SCALE-MAMBA MPC: Secure Computation Algorithms from LEuven] — Framework for various MPC protocols, including the SPDZ family (code available under the [[BSD]]). Offers arithmetic with secret shared values including secure comparison and support for fixed point and floating point arithmetic.