"A ThreshoId-ImpIementation-Based Neural-Network Accelerator Securing Model ..."

Saurav Maji et al. (2022)

> Home

Details and statistics

DOI: 10.1109/ISSCC42614.2022.9731598

access: closed

type: Conference or Workshop Paper

metadata version: 2022-03-21

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/isscc/MajiBFC22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/isscc/MajiBFC22
Saurav Maji, Utsav Banerjee, Samuel H. Fuller, Anantha P. Chandrakasan:
A ThreshoId-ImpIementation-Based Neural-Network Accelerator Securing Model Parameters and Inputs Against Power Side-Channel Attacks. ISSCC 2022: 518-520

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.