Skip to Main Content Area
  • CPS-VO
    • Contact Support
  • Browse
    • Calendar
    • Announcements
    • Repositories
    • Groups
  • Search
    • Search for Content
    • Search for a Group
    • Search for People
    • Search for a Project
    • Tagcloud
      
 
Not a member?
Click here to register!
Forgot username or password?
 
Home
National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

AI application

biblio

Visible to the public An Analytical Framework for Security-Tuning of Artificial Intelligence Applications Under Attack

Submitted by grigby1 on Thu, 08/13/2020 - 5:07pm
  • artificial intelligence applications
  • artificial intelligence security
  • signal classification
  • security-tuning
  • perturbation attack
  • parameters tuning
  • ML parameters
  • ML experts
  • ML algorithms
  • medical signal processing
  • k-nearest neighbors algorithm
  • input data perturbation attack
  • electroencephalography
  • electroencephalogram signals
  • EEG dataset
  • data classification
  • learning (artificial intelligence)
  • analytical framework
  • AI application
  • classification accuracy
  • tuning
  • testing
  • Prediction algorithms
  • Perturbation methods
  • machine learning algorithms
  • optimization
  • pubcrawl
  • Artificial Intelligence
  • security
  • machine learning
  • security of data

Terms of Use  |  ©2023. CPS-VO