"Fast and Private Inference of Deep Neural Networks by Co-designing ..."

Abdulrahman Diaa et al. (2024)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-07-22

- view
  - electronic edition @ usenix.org (open access)
- export record
  dblp key:
  - conf/uss/DiaaFHDEK0LMOAK24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/uss/DiaaFHDEK0LMOAK24
Abdulrahman Diaa, Lucas Fenaux, Thomas Humphries, Marian Dietz, Faezeh Ebrahimianghazani, Bailey Kacsmar, Xinda Li, Nils Lukas, Rasoul Akhavan Mahdavi, Simon Oya, Ehsan Amjadian, Florian Kerschbaum:
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions. USENIX Security Symposium 2024

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.