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.
Journal:
IEEE Access

ISSN: 2169-3536

Year of publication: 2022

Volume: 10

Pages: 124582-124594

Type: Article

DOI: 10.1109/ACCESS.2022.3224930 GOOGLE SCHOLAR lock_openOpen access editor

Sustainable development goals

Data source: Scopus