APA (7th ed.) Citation

Tang, L., Ye, D., Lu, Z., Zhang, Y., & Chen, C. (2025). Feature Extraction Matters More: An Effective and Efficient Universal Deepfake Disruptor. ACM Transactions on Multimedia Computing, Communications & Applications, 21(2), 1. https://doi.org/10.1145/3653457

Chicago Style (17th ed.) Citation

Tang, Long, Dengpan Ye, Zhenhao Lu, Yunming Zhang, and Chuanxi Chen. "Feature Extraction Matters More: An Effective and Efficient Universal Deepfake Disruptor." ACM Transactions on Multimedia Computing, Communications & Applications 21, no. 2 (2025): 1. https://doi.org/10.1145/3653457.

MLA (9th ed.) Citation

Tang, Long, et al. "Feature Extraction Matters More: An Effective and Efficient Universal Deepfake Disruptor." ACM Transactions on Multimedia Computing, Communications & Applications, vol. 21, no. 2, 2025, p. 1, https://doi.org/10.1145/3653457.