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Privacy-Enhanced Machine Learning with Functional Encryption
2019
Zenodo
Functional ENcryption is a generalization of public-key encryption in which possessing a secret functional key allows one to learn a function of what the ciphertext is encrypting. This paper introduces the first fully-fledged open source cryptographic libraries for functional encryption. It also presents how Functional ENcryption can be used to build efficient privacy-enhanced machine learning models and it provides an implementation of three prediction services that can be applied on the
doi:10.5281/zenodo.3551691
fatcat:bta45eskejdnlc3btbieo26hka