Cite
NLPSweep: A comprehensive defense scheme for mitigating NLP backdoor attacks.
MLA
Xiang, Tao, et al. “NLPSweep: A Comprehensive Defense Scheme for Mitigating NLP Backdoor Attacks.” Information Sciences, vol. 661, Mar. 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.ins.2024.120176.
APA
Xiang, T., Ouyang, F., Zhang, D., Xie, C., & Wang, H. (2024). NLPSweep: A comprehensive defense scheme for mitigating NLP backdoor attacks. Information Sciences, 661, N.PAG. https://doi.org/10.1016/j.ins.2024.120176
Chicago
Xiang, Tao, Fei Ouyang, Di Zhang, Chunlong Xie, and Hao Wang. 2024. “NLPSweep: A Comprehensive Defense Scheme for Mitigating NLP Backdoor Attacks.” Information Sciences 661 (March): N.PAG. doi:10.1016/j.ins.2024.120176.