"SemBAT: Physical Layer Black-box Adversarial Attacks for Deep ..."

Zeju Li et al. (2022)

> Home

Details and statistics

DOI: 10.1109/VTC2022-FALL57202.2022.10012766

access: closed

type: Conference or Workshop Paper

metadata version: 2023-01-24

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/vtc/LiZNLCT22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/vtc/LiZNLCT22
Zeju Li, Jinfei Zhou, Guoshun Nan, Zhichun Li, Qimei Cui, Xiaofeng Tao:
SemBAT: Physical Layer Black-box Adversarial Attacks for Deep Learning-based Semantic Communication Systems. VTC Fall 2022: 1-5

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.