APA (7th ed.) Citation

Yang, R., Cao, T., Chen, X., & Zhang, F. (2021). A novel and universal GAN-based countermeasure to recover adversarial examples to benign examples. Computers & Security, 111, N.PAG. https://doi.org/10.1016/j.cose.2021.102457

Chicago Style (17th ed.) Citation

Yang, Rui, Tian-Jie Cao, Xiu-Qing Chen, and Feng-Rong Zhang. "A Novel and Universal GAN-based Countermeasure to Recover Adversarial Examples to Benign Examples." Computers & Security 111 (2021): N.PAG. https://doi.org/10.1016/j.cose.2021.102457.

MLA (9th ed.) Citation

Yang, Rui, et al. "A Novel and Universal GAN-based Countermeasure to Recover Adversarial Examples to Benign Examples." Computers & Security, vol. 111, 2021, p. N.PAG, https://doi.org/10.1016/j.cose.2021.102457.