Exploring the Dual Role of LLMs in Cybersecurity: Threats and Defenses

0Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Large Language Models (LLMs) pose risks for cybersecurity since they facilitate minimal cost creation of malware, phishing messages, and malicious chatbots. At the same time, LLMs can help defend against cyberattacks. This chapter reviews security research around the risks and benefits of LLMs.

Cite

CITATION STYLE

APA

Bryce, C., Kalousis, A., Leroux, I., Madinier, H., Pasche, T., & Ruch, P. (2024). Exploring the Dual Role of LLMs in Cybersecurity: Threats and Defenses. In Large Language Models in Cybersecurity: Threats, Exposure and Mitigation (pp. 235–242). Springer Nature. https://doi.org/10.1007/978-3-031-54827-7_26

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free