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Most of the research papers give imaginary applications of multi party computation.

Either they talk about millionare's problem or two or more corporates willing to compute some Intrustion detection stuff collectively on their private data without revealing their network logs or similar

in reality what are the practical use cases for multi party computation ?

Sharemind is trying to achieve cloud privacy of data computations ( of single party )by distributing to multiple cloud servers but here there are no multiple parties as such .

While Homomorphic encryption is touted as special case of SMC, but its still single party outsourcing computations

2 $\:$ – Ricky Demer Oct 29 '12 at 8:26
Thanks Ricky , how did i forget this Sugar beet auction , thanks anyway ! , any other usecases ? – sashank Oct 29 '12 at 9:00
In 2015, Sharemind was also used in a privacy-preserving statistical study on two private, secret shared governmental databases to determine whether working during university studies correlates with failing to graduate in time (eprint). – jotik 3 hours ago
up vote 2 down vote accepted

There have been almost no examples of multi-party computation being used and deployed in the real world to date.

(The primary example is the sugar beet auctions. There are many other proposals, but they have not been deployed anywhere as far as I know. For example, there are cryptographic voting schemes that have been proposed, but have not been widely used. And there are applications to, e.g., genomic privacy that have been proposed in research papers but have not, to my knowledge, been deployed in practice. Some other uses that have been proposed, but not deployed or used in practice, as far as I know, include secure supply chain management and avoiding satellite collisions.)

It's still very cool stuff, nonetheless....

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