"Rigorous Evaluation of Machine Learning-Based Intrusion Detection Against ..."

Onat Güngör et al. (2024)

> Home

Details and statistics

DOI: 10.1109/CSR61664.2024.10679443

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-01

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/csr2/GungorLSGCDR24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/csr2/GungorLSGCDR24
Onat Güngör, Elvin Li, Zhengli Shang, Yutong Guo, Jing Chen, Johnathan Davis, Tajana Rosing:
Rigorous Evaluation of Machine Learning-Based Intrusion Detection Against Adversarial Attacks. CSR 2024: 152-158

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.