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...
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| Outros Autores: | , , |
| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2015
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/40604 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/40604 |