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

MLA

Angel Luis Perales Gomez, et al. “A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios.” IEEE Access, vol. 10, Jan. 2022, pp. 124582–94. EBSCOhost, https://doi.org/10.1109/ACCESS.2022.3224930.

APA

Angel Luis Perales Gomez, Lorenzo Fernandez Maimo, Felix J. Garcia Clemente, Javier Alejandro Maroto Morales, Alberto Huertas Celdran, & Gerome Bovet. (2022). A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios. IEEE Access, 10, 124582–124594. https://doi.org/10.1109/ACCESS.2022.3224930

Chicago

Angel Luis Perales Gomez, Lorenzo Fernandez Maimo, Felix J. Garcia Clemente, Javier Alejandro Maroto Morales, Alberto Huertas Celdran, and Gerome Bovet. 2022. “A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios.” IEEE Access 10 (January): 124582–94. doi:10.1109/ACCESS.2022.3224930.