Fully Homomorphically Encrypted Deep Learning as a Service
| dc.contributor.author | Onoufriou, George | |
| dc.contributor.author | Mayfield, Paul | |
| dc.contributor.author | Leontidis, Georgios | |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Vice Principals | en |
| dc.date.accessioned | 2021-10-13T13:22:01Z | |
| dc.date.available | 2021-10-13T13:22:01Z | |
| dc.date.issued | 2021-10-13 | |
| dc.description | Funding: This research was funded by UKRI-EPSRC grant “The Internet of Food Things” grant number EP/R045127/1. | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 16 | |
| dc.format.extent | 900492 | |
| dc.identifier | 201831244 | |
| dc.identifier | fb8539ef-a059-4069-8cf6-f5daf8c0ee14 | |
| dc.identifier | 85121999850 | |
| dc.identifier | 85121999850 | |
| dc.identifier.citation | Onoufriou, G, Mayfield, P & Leontidis, G 2021, 'Fully Homomorphically Encrypted Deep Learning as a Service', Machine Learning and Knowledge Extraction, vol. 3, no. 4, pp. 819-834. https://doi.org/10.3390/make3040041 | en |
| dc.identifier.doi | 10.3390/make3040041 | |
| dc.identifier.iss | 4 | en |
| dc.identifier.issn | 2504-4990 | |
| dc.identifier.other | ORCID: /0000-0001-6671-5568/work/101749693 | |
| dc.identifier.uri | https://hdl.handle.net/2164/17352 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85121999850&partnerID=8YFLogxK | en |
| dc.identifier.vol | 3 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Machine Learning and Knowledge Extraction | en |
| dc.subject | SDG 2 - Zero Hunger | en |
| dc.subject | SDG 9 - Industry, Innovation, and Infrastructure | en |
| dc.subject | 2040 Data and Artificial Intelligence | en |
| dc.subject | deep learning | en |
| dc.subject | fully homomorphic encryption | en |
| dc.subject | convolutional neural network | en |
| dc.subject | privacy-preserving technologies | en |
| dc.subject | agri-food | en |
| dc.subject | data sharing | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject | Artificial Intelligence | en |
| dc.subject | Engineering (miscellaneous) | en |
| dc.subject | Engineering and Physical Sciences Research Council (EPSRC) | en |
| dc.subject | EP/R045127/1 | en |
| dc.subject.lcc | QA75 | en |
| dc.title | Fully Homomorphically Encrypted Deep Learning as a Service | en |
| dc.type | Journal article | en |
Files
Original bundle
1 - 1 of 1
- Name:
- Onoufriou_etal_MLKE_Fully_Homomorphically_Encrypted_VoR.pdf
- Size:
- 879.39 KB
- Format:
- Adobe Portable Document Format