A platform for practical homomorphic encryption in neural network classification
2021 doctoral thesis by Mehmood Baryalai at Massey University
Press Enter · cited answer in seconds
0 sources
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's publisher is recorded as 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's publication date is recorded as +2021-00-00T00:00:00Z[6].
- A platform for practical homomorphic encryption in neural network classification's main subject is recorded as artificial neural network[7].
- A platform for practical homomorphic encryption in neural network classification's main subject is recorded as mathematics[8].
- A platform for practical homomorphic encryption in neural network classification's Handle ID is recorded as 10179/16649[9].
- 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[10].
- A platform for practical homomorphic encryption in neural network classification's copyright holder is recorded as Mehmood Baryalai[11].
- A platform for practical homomorphic encryption in neural network classification's thesis submitted to is recorded as Massey University[12].
- A platform for practical homomorphic encryption in neural network classification's on focus list of Wikimedia project is recorded as NZThesisProject[13].
- A platform for practical homomorphic encryption in neural network classification's copyright status is recorded as copyrighted[14].
- A platform for practical homomorphic encryption in neural network classification's thesis committee member is recorded as Dianne Brunton[15].
- A platform for practical homomorphic encryption in neural network classification's thesis committee member is recorded as Dongxu Liu[16].
- A platform for practical homomorphic encryption in neural network classification's thesis committee member is recorded as Winston Sweatman[17].
Body
Designation and Status
A platform for practical homomorphic encryption in neural network classification's instance of is recorded as doctoral thesis[3].