Feb. 5, 2024, 8:10 p.m. | Farzad Nourmohammadzadeh Motlagh Mehrdad Hajizadeh Mehryar Majd Pejman Najafi Feng Cheng Christoph Meinel

cs.CR updates on arXiv.org arxiv.org

The rise of Large Language Models (LLMs) has revolutionized our comprehension of intelligence bringing us closer to Artificial Intelligence. Since their introduction, researchers have actively explored the applications of LLMs across diverse fields, significantly elevating capabilities. Cybersecurity, traditionally resistant to data-driven solutions and slow to embrace machine learning, stands out as a domain. This study examines the existing literature, providing a thorough characterization of both defensive and adversarial applications of LLMs within the realm of cybersecurity. Our review not only …

applications art artificial artificial intelligence capabilities closer cs.ai cs.cl cs.cr cs.lg cybersecurity data data-driven domain intelligence introduction language language models large llms machine machine learning researchers slow solutions state

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