Work

nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data

Year: 2018

Type: preprint

Abstract: CF 2019 Artifact Evaluation

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1810.10121

Authors: Boemer, Fabian, Lao, Yixing, Cammarota, Rosario, Wierzynski, Casimir

Institution: Intel (United States)

Language: English

Topic: Cryptography and Data Security

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2950438104

Cites: 41

Cited by: 22

Related to: 20