APA (7th ed.) Citation

Liao, R., Yan, X., Pang, Z., & Zhu, K. (2025). Balancing Validity and Vulnerability: Knowledge-Driven Seed Generation via LLMs for Deep Learning Library Fuzzing. Applied Sciences (2076-3417), 15(19), 10396. https://doi.org/10.3390/app151910396

Chicago Style (17th ed.) Citation

Liao, Rongtao, Xuehu Yan, Zeshan Pang, and Kailong Zhu. "Balancing Validity and Vulnerability: Knowledge-Driven Seed Generation via LLMs for Deep Learning Library Fuzzing." Applied Sciences (2076-3417) 15, no. 19 (2025): 10396. https://doi.org/10.3390/app151910396.

MLA (9th ed.) Citation

Liao, Rongtao, et al. "Balancing Validity and Vulnerability: Knowledge-Driven Seed Generation via LLMs for Deep Learning Library Fuzzing." Applied Sciences (2076-3417), vol. 15, no. 19, 2025, p. 10396, https://doi.org/10.3390/app151910396.