APA (7th ed.) Citation

Pang, S., Chen, Y., Deng, J., Wu, J., Bai, Y., & Xu, W. (2024). Adversarial for Good – Defending Training Data Privacy with Adversarial Attack Wisdom. 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications (MetaCom), Metaverse Computing, Networking, and Applications (MetaCom), 2024 IEEE International Conference on, METACOM, 190-197. https://doi.org/10.1109/MetaCom62920.2024.00040

Chicago Style (17th ed.) Citation

Pang, Shengyuan, Yanjiao Chen, Jiangyi Deng, Jialin Wu, Yijie Bai, and Wenyuan Xu. "Adversarial for Good – Defending Training Data Privacy with Adversarial Attack Wisdom." 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications (MetaCom), Metaverse Computing, Networking, and Applications (MetaCom), 2024 IEEE International Conference on, METACOM 2024: 190-197. https://doi.org/10.1109/MetaCom62920.2024.00040.

MLA (9th ed.) Citation

Pang, Shengyuan, et al. "Adversarial for Good – Defending Training Data Privacy with Adversarial Attack Wisdom." 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications (MetaCom), Metaverse Computing, Networking, and Applications (MetaCom), 2024 IEEE International Conference on, METACOM, 2024, pp. 190-197, https://doi.org/10.1109/MetaCom62920.2024.00040.