A platform for practical homomorphic encryption in neural network classification

Summary

A platform for practical homomorphic encryption in neural network classification is a doctoral thesis^[1].

Key Facts

• A platform for practical homomorphic encryption in neural network classification authored Mehmood Baryalai^[2].
• A platform for practical homomorphic encryption in neural network classification's instance of is recorded as doctoral thesis^[3].
• A platform for practical homomorphic encryption in neural network classification was published by Massey Research Online^[4].
• A platform for practical homomorphic encryption in neural network classification's country of origin is recorded as New Zealand^[5].
• A platform for practical homomorphic encryption in neural network classification was published on 2021^[6].
• A platform for practical homomorphic encryption in neural network classification's main subject is artificial neural network^[7].
• A platform for practical homomorphic encryption in neural network classification's main subject is mathematics^[8].
• A platform for practical homomorphic encryption in neural network classification's title is recorded as A platform for practical homomorphic encryption in neural network classification^[9].
• A platform for practical homomorphic encryption in neural network classification's copyright holder is recorded as Mehmood Baryalai^[10].
• A platform for practical homomorphic encryption in neural network classification's thesis submitted to is recorded as Massey University^[11].
• A platform for practical homomorphic encryption in neural network classification's on focus list of Wikimedia project is recorded as NZThesisProject^[12].
• A platform for practical homomorphic encryption in neural network classification's copyright status is recorded as copyrighted^[13].
• A platform for practical homomorphic encryption in neural network classification's thesis committee member is recorded as Dianne Brunton^[14].
• A platform for practical homomorphic encryption in neural network classification's thesis committee member is recorded as Dongxu Liu^[15].
• A platform for practical homomorphic encryption in neural network classification's thesis committee member is recorded as Winston Sweatman^[16].
• A platform for practical homomorphic encryption in neural network classification's thesis submitted for degree is recorded as Doctor of Philosophy^[17].

Body

Authorship and Creation

A platform for practical homomorphic encryption in neural network classification authored Mehmood Baryalai^[2]. It was published by Massey Research Online^[4].

Publication

A platform for practical homomorphic encryption in neural network classification was released on 2021^[6].

Subject and Themes

Main subjects include artificial neural network^[7] and mathematics^[8].