EDLaaS : Fully Homomorphic Encryption Over Neural Network Graphs
| dc.contributor.author | Onoufriou, George | |
| dc.contributor.author | Hanheide, Marc | |
| dc.contributor.author | Leontidis, Georgios | |
| dc.contributor.institution | University of Aberdeen.Vice Principals | en |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Machine Learning | en |
| dc.date.accessioned | 2022-04-05T19:04:01Z | |
| dc.date.available | 2022-04-05T19:04:01Z | |
| dc.date.issued | 2021-10-26 | |
| dc.description | The authors would like to thank the British Biotechnology and Biological Sciences Research Council (BBSRC) in collaboration with Berry Gardens Growers and the University of Lincoln for funding and support. | en |
| dc.format.extent | 12 | |
| dc.format.extent | 1888773 | |
| dc.identifier | 215068585 | |
| dc.identifier | 1f213150-7914-48bc-aef3-b9e587ecab3e | |
| dc.identifier.citation | Onoufriou, G, Hanheide, M & Leontidis, G 2021 'EDLaaS : Fully Homomorphic Encryption Over Neural Network Graphs' ArXiv, pp. 1-12. https://doi.org/10.48550/arXiv.2110.13638 | en |
| dc.identifier.doi | 10.48550/arXiv.2110.13638 | |
| dc.identifier.other | ORCID: /0000-0001-6671-5568/work/111043814 | |
| dc.identifier.uri | https://hdl.handle.net/2164/18349 | |
| dc.language.iso | eng | |
| dc.publisher | ArXiv | |
| dc.relation.ispartof | en | |
| dc.subject | SDG 2 - Zero Hunger | en |
| dc.subject | SDG 8 - Decent Work and Economic Growth | en |
| dc.subject | SDG 12 - Responsible Consumption and Production | en |
| dc.subject | SDG 9 - Industry, Innovation, and Infrastructure | en |
| dc.subject | 2040 Data and Artificial Intelligence | en |
| dc.subject | 2040 Health, Nutrition and Wellbeing | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject | Biotechnology and Biological Sciences Research Council (BBSRC) | en |
| dc.subject.lcc | QA75 | en |
| dc.title | EDLaaS : Fully Homomorphic Encryption Over Neural Network Graphs | en |
| dc.type | Preprint | en |
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