zkSummit6: Privacy-preserving Insight Generation Across Siloed Databases – Daniel Benarroch – Qedit
Автор: Zero Knowledge
Загружено: 2020-12-07
Просмотров: 113
Описание:
This was recorded at the zkSummit6 on Nov 24 2020.
https://www.zksummit.com/
Title: Privacy-preserving Insight Generation Across Siloed Databases – Daniel Benarroch – Qedit
Description:
Private Set Intersection is a cryptographic method that allows two parties, each with a data set, to compute the data points that they have in common without revealing the rest of the data set to each other. At QEDIT we have built a secure delegated PSI method, where the parties who own the data do not have to interact in order to obtain the intersection of their data sets. On top of this, we use homomorphic encryption to enable secure aggregation of data based on matches across data bases.
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