"Evading Deep Reinforcement Learning-based Network Intrusion Detection with ..."

Mohamed Amine Merzouk et al. (2022)

> Home

Details and statistics

DOI: 10.1145/3538969.3539006

access: closed

type: Conference or Workshop Paper

metadata version: 2023-09-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/IEEEares/MerzoukDNCBY22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/IEEEares/MerzoukDNCBY22
Mohamed Amine Merzouk, Joséphine Delas, Christopher Neal, Frédéric Cuppens, Nora Boulahia-Cuppens, Reda Yaich:
Evading Deep Reinforcement Learning-based Network Intrusion Detection with Adversarial Attacks. ARES 2022: 31:1-31:6

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.