Conditionals in Homomorphic Encryption and Machine Learning Applications

29 Oct 2018Diego ChialvaAnn Dooms

Homomorphic encryption aims at allowing computations on encrypted data without decryption other than that of the final result. This could provide an elegant solution to the issue of privacy preservation in data-based applications, such as those using machine learning, but several open issues hamper this plan... (read more)

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