Secure Multi-Party Computation (Smpc)
| Secure Multi-Party Computation (sMPC) is a cryptographic technique that distributes computation amongst numerous parties so that no one party may view the information of others. sMPC allows for privacy-preserving computation on sensitive data, which has a wide range of applications in settings where data is distributed amongst multiple parties. sMPC has its roots in the field of cryptography, and was first proposed by cryptographers in the early 1990s. The first sMPC protocols were developed for two-party computation, and were later extended to multi-party computation. sMPC protocols are typically based on one of two approaches: the garbled circuit approach or the secret-sharing approach. The garbled circuit approach was first proposed by cryptographers in the early 1990s. This approach involves encoding the computation as a circuit, and then garbling the circuit so that each party only has partial information about the circuit. The parties can then compute the output of the circuit without revealing their inputs to each other. The secret-sharing approach was first proposed by cryptographers in the early 1980s. This approach involves dividing the input data amongst the parties, so that each party only has a partial view of the input data. The parties can then compute the function on their respective inputs, and combine their results to obtain the output of the function. sMPC has a wide range of applications in settings where data is distributed amongst multiple parties. sMPC can be used to enable privacy-preserving data analysis, secure electronic voting, and secure financial transactions. sMPC can also be used to protect sensitive data in cloud computing environments. sMPC is a powerful tool for preserving privacy in settings where data is distributed amongst multiple parties. sMPC can be used to enable privacy-preserving data analysis, secure electronic voting, and secure financial transactions. sMPC can also be used to protect sensitive data in cloud computing environments. |
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