Cite
Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity.
MLA
Shuai Zhou, et al. “Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity.” ACM Computing Surveys, vol. 55, no. 8, Aug. 2023, pp. 1–39. EBSCOhost, https://doi.org/10.1145/3547330.
APA
Shuai Zhou, Chi Liu, Dayong Ye, Tianqing Zhu, Wanlei Zhou, & Yu, P. S. (2023). Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity. ACM Computing Surveys, 55(8), 1–39. https://doi.org/10.1145/3547330
Chicago
Shuai Zhou, Chi Liu, Dayong Ye, Tianqing Zhu, Wanlei Zhou, and Philip S. Yu. 2023. “Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity.” ACM Computing Surveys 55 (8): 1–39. doi:10.1145/3547330.