Drynx
Decentralized, secure, verifiable system for statistical queries and machine learning on distributed datasets
Drynx allows to create privacy-preserving queries on encrypted datasets that are stored at different data providers who don't want to share the original data. Different types of statistical queries are possible, like average, standard deviation, linear and logistic regressions - all using homomorphic encryption, which means that the data is never shared in cleartext.
unknown
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entered showcase: 2019-03-18
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entry updated: 2022-09-28
2020/Q1 created demonstrator for SwissRe
Prototype
Application
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Transfered to TuneInsight