"Machine Learning based Attacks and Defenses in Computer Security: Towards ..."

Miro Enev (2014)

> Home

Details and statistics

DOI: —

access: closed

type: Book or Thesis

metadata version: 2022-05-04

- view
  - electronic edition via handle.net
- export record
  dblp key:
  - phd/us/Enev14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/phd/us/Enev14
Miro Enev:
Machine Learning based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments. University of Washington, USA, 2014

a service of

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.