AQUA-LLM: Evaluating Accuracy, Quantization, and Adversarial Robustness Trade-offs in LLMs for Cybersecurity Question Answering - researchr publication

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Onat Güngör, Roshan Sood, Harold Wang, Tajana Rosing. AQUA-LLM: Evaluating Accuracy, Quantization, and Adversarial Robustness Trade-offs in LLMs for Cybersecurity Question Answering. In International Conference on Machine Learning and Applications, ICMLA 2025, Boca Raton, FL, USA, December 3-5, 2025. pages 869-874, IEEE, 2025. [doi]

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