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Boston University OpenBUhttp://open.by.dub Open Access Articles BU Open Access Articles2019Conclave: secure multiparty computation on big data This work was made openly accessible by BU Faculty. Please
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Step 1: Define the input and output parties involved in the computation.
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Step 3: Implement the protocol ensuring that the privacy and security of each party's input data is maintained.
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Step 4: Execute the computation to obtain the desired output without revealing individual inputs.

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Companies dealing with sensitive data that needs to be analyzed collaboratively without exposing individual inputs.
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Secure multi-party computation is used to enable multiple parties to jointly compute a function over their inputs while keeping those inputs private.
Entities that engage in secure multi-party computation activities, particularly in data sharing or processing scenarios under relevant regulations, are required to file.
To fill out secure multi-party computation forms, gather all necessary data inputs from each party, follow the provided guidelines and templates, and ensure compliance with reporting standards.
The purpose is to facilitate collaborative computations without revealing sensitive individual data to other parties involved.
Relevant information such as participating parties' identities, the nature of the computation, the data involved, and compliance measures must be reported.
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