An Efficient Outsourced Privacy Preserving Machine Learning Scheme With Public Verifiability
Cloud computing has been widely applied in numerous applications for storage and data analytics tasks. However, cloud servers engaged through a third party cannot be fully trusted by multiple data users. Thus, security and privacy concerns become the main obstructions to use machine learning service...
Main Authors: | Alzubair Hassan, Rafik Hamza, Hongyang Yan, Ping Li |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8862813/ |
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