BOOKS - Large Language Models in Cybersecurity Threats, Exposure and Mitigation
Large Language Models in Cybersecurity Threats, Exposure and Mitigation - Andrei Kucharavy, Octave Plancherel, Valentin Mulder, Alain Mermoud 2024 PDF Springer BOOKS
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Large Language Models in Cybersecurity Threats, Exposure and Mitigation
Author: Andrei Kucharavy, Octave Plancherel, Valentin Mulder, Alain Mermoud
Year: 2024
Format: PDF
File size: 11.3 MB
Language: ENG



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Large Language Models in Cybersecurity Threats Exposure and Mitigation Introduction The rapid development of large language models (LLMs) has revolutionized various fields such as natural language processing, machine learning, and artificial intelligence. However, these powerful tools also pose significant cybersecurity threats. This book delves into the exposure and mitigation of LLM-related risks, providing readers with a comprehensive understanding of the challenges and solutions in this area. The following sections will explore the current state of LLMs, their potential applications, and the associated risks, as well as strategies for addressing these threats.
Большие языковые модели в угрозах кибербезопасности Воздействие и смягчение последствий Введение Быстрая разработка больших языковых моделей (LLM) произвела революцию в различных областях, таких как обработка естественного языка, машинное обучение и искусственный интеллект. Однако эти мощные инструменты также создают значительные угрозы кибербезопасности. Эта книга углубляется в выявление и снижение рисков, связанных с LLM, предоставляя читателям всестороннее понимание проблем и решений в этой области. В следующих разделах будет рассмотрено текущее состояние LLM, их потенциальные приложения и связанные с ними риски, а также стратегии устранения этих угроз.
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