APA (7th ed.) Citation

Martin, G. L., Lee, S., Kim, J., Jeong, Y., Kang, A. R., & Woo, J. (2025). Deep Defense Against Mal-Doc: Utilizing Transformer and SeqGAN for Detecting and Classifying Document Type Malware. Applied Sciences (2076-3417), 15(6), 2978. https://doi.org/10.3390/app15062978

Chicago Style (17th ed.) Citation

Martin, Gati Lother, Sang-Min Lee, Jong-Hyun Kim, Young-Seob Jeong, Ah Reum Kang, and Jiyoung Woo. "Deep Defense Against Mal-Doc: Utilizing Transformer and SeqGAN for Detecting and Classifying Document Type Malware." Applied Sciences (2076-3417) 15, no. 6 (2025): 2978. https://doi.org/10.3390/app15062978.

MLA (9th ed.) Citation

Martin, Gati Lother, et al. "Deep Defense Against Mal-Doc: Utilizing Transformer and SeqGAN for Detecting and Classifying Document Type Malware." Applied Sciences (2076-3417), vol. 15, no. 6, 2025, p. 2978, https://doi.org/10.3390/app15062978.