ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1908.10730
  4. Cited By
Confidential Deep Learning: Executing Proprietary Models on Untrusted
  Devices

Confidential Deep Learning: Executing Proprietary Models on Untrusted Devices

28 August 2019
Peter M. VanNostrand
Ioannis Kyriazis
Michelle Cheng
Tian Guo
R. Walls
    FedML
ArXivPDFHTML

Papers citing "Confidential Deep Learning: Executing Proprietary Models on Untrusted Devices"

2 / 2 papers shown
Title
Confidential Machine Learning Computation in Untrusted Environments: A
  Systems Security Perspective
Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective
Kha Dinh Duy
Taehyun Noh
Siwon Huh
Hojoon Lee
56
9
0
05 Nov 2021
Slalom: Fast, Verifiable and Private Execution of Neural Networks in
  Trusted Hardware
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Florian Tramèr
Dan Boneh
FedML
114
395
0
08 Jun 2018
1