Li, Q.; Zhou, S.; Zeng, X.; Shi, J.; Lin, Q.; Huang, C.; Yue, Y.; Jiang, Y.; Lv, C.
A Symmetric Projection Space and Adversarial Training Framework for Privacy-Preserving Machine Learning with Improved Computational Efficiency. Appl. Sci. 2025, 15, 3275.
https://doi.org/10.3390/app15063275
AMA Style
Li Q, Zhou S, Zeng X, Shi J, Lin Q, Huang C, Yue Y, Jiang Y, Lv C.
A Symmetric Projection Space and Adversarial Training Framework for Privacy-Preserving Machine Learning with Improved Computational Efficiency. Applied Sciences. 2025; 15(6):3275.
https://doi.org/10.3390/app15063275
Chicago/Turabian Style
Li, Qianqian, Shutian Zhou, Xiangrong Zeng, Jiaqi Shi, Qianye Lin, Chenjia Huang, Yuchen Yue, Yuyao Jiang, and Chunli Lv.
2025. "A Symmetric Projection Space and Adversarial Training Framework for Privacy-Preserving Machine Learning with Improved Computational Efficiency" Applied Sciences 15, no. 6: 3275.
https://doi.org/10.3390/app15063275
APA Style
Li, Q., Zhou, S., Zeng, X., Shi, J., Lin, Q., Huang, C., Yue, Y., Jiang, Y., & Lv, C.
(2025). A Symmetric Projection Space and Adversarial Training Framework for Privacy-Preserving Machine Learning with Improved Computational Efficiency. Applied Sciences, 15(6), 3275.
https://doi.org/10.3390/app15063275
