Rashid, S.; Bollis, E.; Pellicer, L.; Rabbani, D.; Palacios, R.; Gupta, A.; Gupta, A.
Evaluating Prompt Injection Attacks with LSTM-Based Generative Adversarial Networks: A Lightweight Alternative to Large Language Models. Mach. Learn. Knowl. Extr. 2025, 7, 77.
https://doi.org/10.3390/make7030077
AMA Style
Rashid S, Bollis E, Pellicer L, Rabbani D, Palacios R, Gupta A, Gupta A.
Evaluating Prompt Injection Attacks with LSTM-Based Generative Adversarial Networks: A Lightweight Alternative to Large Language Models. Machine Learning and Knowledge Extraction. 2025; 7(3):77.
https://doi.org/10.3390/make7030077
Chicago/Turabian Style
Rashid, Sharaf, Edson Bollis, Lucas Pellicer, Darian Rabbani, Rafael Palacios, Aneesh Gupta, and Amar Gupta.
2025. "Evaluating Prompt Injection Attacks with LSTM-Based Generative Adversarial Networks: A Lightweight Alternative to Large Language Models" Machine Learning and Knowledge Extraction 7, no. 3: 77.
https://doi.org/10.3390/make7030077
APA Style
Rashid, S., Bollis, E., Pellicer, L., Rabbani, D., Palacios, R., Gupta, A., & Gupta, A.
(2025). Evaluating Prompt Injection Attacks with LSTM-Based Generative Adversarial Networks: A Lightweight Alternative to Large Language Models. Machine Learning and Knowledge Extraction, 7(3), 77.
https://doi.org/10.3390/make7030077