A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios

  1. Perales Gomez, A.L.
  2. Maimo, L.F.
  3. Clemente, F.J.G.
  4. Morales, J.A.M.
  5. Celdran, A.H.
  6. Bovet, G.
Revue:
IEEE Access

ISSN: 2169-3536

Année de publication: 2022

Volumen: 10

Pages: 124582-124594

Type: Article

DOI: 10.1109/ACCESS.2022.3224930 GOOGLE SCHOLAR lock_openAccès ouvert editor
La source de données: Scopus