ADSNARK: Nearly practical and privacy-preserving proofs on authenticated data
We study the problem of privacy-preserving proofs on authenticated data, where a party receives data from a trusted source and is requested to prove computations over the data to third parties in a correct and private way, i.e., the third party learns no information on the data but is still assured...
Main Author: | |
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Other Authors: | , , |
Format: | conferencePaper |
Language: | eng |
Published: |
2015
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Subjects: | |
Online Access: | http://hdl.handle.net/1822/40604 |
Country: | Portugal |
Oai: | oai:repositorium.sdum.uminho.pt:1822/40604 |