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所在平台: Udemy |
课程主页: https://www.udemy.com/course/penetration-testing-for-llms/
课程评论：没有评论
课程名称：针对大型语言模型的渗透测试 概述：此课程是一个精心设计的Udemy课程，旨在帮助IT专业人士掌握针对大型语言模型（LLMs）的渗透测试，以提高网络安全水平。课程内容系统地从基础知识讲解到高级概念，并通过应用案例研究加深理解。您将深入了解有效渗透测试所需的原则和实践，课程结合理论知识与实践洞见，确保全面学习。完成课程后，您将具备在企业中实施和进行针对LLMs的渗透测试的能力。 主要收益： - 基础知识 - 生成性人工智能：掌握生成性人工智能的基础，包括其工作原理、应用及其安全影响。 - 渗透测试：学习渗透测试的基本原理，包括评估安全漏洞的方法、工具和技术。 - 生成性人工智能的渗透测试过程：探索针对生成性AI模型的结构化渗透测试方法，重点识别弱点和潜在的利用方式。 - MITRE ATT & CK框架：了解MITRE ATT & CK框架及其如何映射网络攻击中的对手战术和技术。 - MITRE ATLAS框架：学习MITRE ATLAS，一个针对AI系统安全的专门框架，详细说明AI应用中的已知威胁和漏洞。 - 生成性AI的攻击与对策：发现针对生成性AI系统的常见攻击向量及其防御策略。 - 案例研究：分析一项真实案例，探讨对手如何利用大型语言模型，并探索防御措施。 该课程为学习者提供了渗透测试的系统性训练，使其能够在网络安全领域中更有效地应对挑战。
Penetration Testing for LLMs is a meticulously structured Udemy course aimed at IT professionals seeking to master Penetration Testing for LLMs for Cybersecurity purposes. This course systematically walks you through the initial basics to advanced concepts with applied case studies.You will gain a deep understanding of the principles and practices necessary for effective Penetration Testing for LLMs. The course combines theoretical knowledge with practical insights to ensure comprehensive learning. By the end of the course, you'll be equipped with the skills to implement and conduct Penetration Testing for LLMs in your enterprise.Key Benefits for you:Basics - Generative AI: Gain a foundational understanding of generative AI, including how it works, its applications, and its security implications.Penetration Testing: Learn the fundamentals of penetration testing, including methodologies, tools, and techniques for assessing security vulnerabilities.The Penetration Testing Process for GenAI: Explore a structured approach to penetration testing for generative AI models, focusing on identifying weaknesses and potential exploits.MITRE ATT & CK: Understand the MITRE ATT & CK framework and how it maps adversarial tactics and techniques used in cyberattacks.MITRE ATLAS: Learn about MITRE ATLAS, a specialized framework for AI system security, detailing known threats and vulnerabilities in AI applications.Attacks and Countermeasures for GenAI: Discover common attack vectors targeting generative AI systems and the defensive strategies to mitigate these risks.Case Study: Exploit a LLM: Analyze a real-world case study demonstrating how adversaries exploit large language models (LLMs) and explore defensive measures.
