Cite
A lightweight unsupervised adversarial detector based on autoencoder and isolation forest.
MLA
Liu, Hui, et al. “A Lightweight Unsupervised Adversarial Detector Based on Autoencoder and Isolation Forest.” Pattern Recognition, vol. 147, Mar. 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.patcog.2023.110127.
APA
Liu, H., Zhao, B., Guo, J., Zhang, K., & Liu, P. (2024). A lightweight unsupervised adversarial detector based on autoencoder and isolation forest. Pattern Recognition, 147, N.PAG. https://doi.org/10.1016/j.patcog.2023.110127
Chicago
Liu, Hui, Bo Zhao, Jiabao Guo, Kehuan Zhang, and Peng Liu. 2024. “A Lightweight Unsupervised Adversarial Detector Based on Autoencoder and Isolation Forest.” Pattern Recognition 147 (March): N.PAG. doi:10.1016/j.patcog.2023.110127.