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

1717862

file

Visible to the public Data-driven Approaches for Large-scale Security Analysis of Mobile Applications

Submitted by xinmingou on Tue, 01/07/2020 - 11:46am. Contributors:
  • Xinming Ou
  • Doina Caragea
  • Sankardas Roy
  • Project Slides
  • Software
  • 1717862
  • 1717871
  • 1718214
  • SaTC PI Meeting 2019
file

Visible to the public Comparing Traditional Machine Learning and Deep Learning Approaches for Security Vetting of Android Apps

Submitted by xinmingou on Mon, 11/25/2019 - 1:04pm. Contributors:
  • Xinming Ou
  • Doina Caragea
  • Sankardas Roy
  • Guojun Liu
  • Emily Alfs
  • Dewan Chaulagain
  • Posters
  • Software
  • 1717862
  • 1717871
  • 1718214
  • SaTC PI Meeting 2019
  • 2019
  • NSF
  • U.S. Government
  • Poster
file

Visible to the public A Systematic Study of Comparing Traditional Machine Learning and Deep Learning for Security Vetting of Android Apps

Submitted by xinmingou on Thu, 10/17/2019 - 2:32pm. Contributors:
  • Xinming Ou
  • Doina Caragea
  • Sankardas Roy
  • Guojun Liu
  • Emily Alfs
  • Dewan Chaulagain
  • Posters
  • Software
  • 1717862
  • 1717871
  • 1718214
  • SaTC PI Meeting 2019
  • 2019
  • NSF
  • U.S. Government
  • Poster

Terms of Use  |  ©2023. CPS-VO