APA (7th ed.) Citation

Li, D., Zhang, Z., Yao, M., Cai, Y., Guo, Y., & Chen, X. (2025). TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments when Attackers Have Pre-Trained Models. ACM Transactions on Software Engineering & Methodology, 34(6), 1. https://doi.org/10.1145/3707453

Chicago Style (17th ed.) Citation

Li, Ding, Ziqi Zhang, Mengyu Yao, Yifeng Cai, Yao Guo, and Xiangqun Chen. "TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers Have Pre-Trained Models." ACM Transactions on Software Engineering & Methodology 34, no. 6 (2025): 1. https://doi.org/10.1145/3707453.

MLA (9th ed.) Citation

Li, Ding, et al. "TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers Have Pre-Trained Models." ACM Transactions on Software Engineering & Methodology, vol. 34, no. 6, 2025, p. 1, https://doi.org/10.1145/3707453.