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

high-dimensional data deep neural network based framework

biblio

Visible to the public Privacy Preserving Big Data Publication On Cloud Using Mondrian Anonymization Techniques and Deep Neural Networks

Submitted by aekwall on Mon, 07/13/2020 - 11:07am
  • privacy
  • k-anonymity
  • machine learning
  • Mondrian anonymization techniques
  • Mondrian based k-anonymity approach
  • neural nets
  • Neural networks
  • personal data
  • personally identifiable information
  • predominant factor
  • high-dimensional data deep neural network based framework
  • privacy breach
  • privacy preservation
  • privacy preserving big data publication
  • privacy-preservation
  • protection
  • Resiliency
  • security
  • user privacy in the cloud
  • data analysis
  • pubcrawl
  • Human Factors
  • resilience
  • Scalability
  • Metrics
  • Big Data
  • Big Data Analytics
  • Cloud Computing
  • compromising privacy
  • big data privacy
  • data management
  • Data models
  • data privacy
  • data utility
  • Databases
  • deep neural networks
  • differential privacy
  • DNN

Terms of Use  |  ©2023. CPS-VO