"Defending against adversarial machine learning attacks using hierarchical ..."

Andrew McCarthy et al. (2023)

> Home

Details and statistics

DOI: 10.1016/J.JISA.2022.103398

access: open

type: Journal Article

metadata version: 2023-02-28

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/istr/McCarthyGAL23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/istr/McCarthyGAL23
Andrew McCarthy, Essam Ghadafi, Panagiotis Andriotis, Phil Legg:
Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification. J. Inf. Secur. Appl. 72: 103398 (2023)

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.