An efficient privacy-preserving outsourced computation over public data
In this paper, we propose a new efficient privacy preserving outsourced computation framework over public data, called EPOC. EPOC allows a user to outsource the computation of a function over multi-dimensional public data to the cloud while protecting the privacy of the function and its output. Spec...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2017
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/3384 https://ink.library.smu.edu.sg/context/sis_research/article/4385/viewcontent/Efficient_privacy_preserving_outsourced_computation_2017.pdf |
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| Institution: | Singapore Management University |
| Language: | English |