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所在平台: Udemy |
课程主页: https://www.udemy.com/course/pentesting-genai-llm-models/
课程评论：没有评论
课程名称：渗透测试生成型人工智能大语言模型：确保大型语言模型的安全性 课程概述：本课程专为安全专业人士、人工智能开发者和道德黑客设计，旨在保护生成型人工智能应用。课程涵盖从大型语言模型（LLM）安全性的基础概念到高级红队技术，帮助学员掌握保护LLM系统的知识和实用技能。学员将通过实际案例研究和攻击模拟进行学习，包括提示注入、敏感数据泄露、处理幻觉、模型拒绝服务和不安全插件行为等演示。此外，您还将学习使用工具、流程和框架，如MITRE ATT&CK，系统性评估AI应用风险。 课程结束时，学员能够识别和利用LLM中的漏洞，并设计符合行业标准的缓解和报告策略。 课程的主要好处： 1. LLM安全洞察：了解生成型人工智能模型的脆弱性，学习主动测试技术以识别这些脆弱性。 2. 渗透测试基础：掌握专为LLM应用量身定制的红队策略、利用阶段和后利用处理。 3. 实践演示：通过现实世界的攻击模拟获得实践经验，包括偏见输出、过度依赖和信息泄漏。 4. 框架掌握：通过动手练习学习应用MITRE ATT&CK概念，针对LLM特定威胁。 5. 安全的AI开发：提升构建抗干扰生成型AI应用的技能，实施安全输出处理和插件保护等防御机制。 加入我们，踏上AI安全的激动人心之旅，立即报名，迈出成为LLM渗透测试专家的第一步！
Red Teaming & Penetration Testing for LLMs is a carefully structured course is designed for security professionals, AI developers, and ethical hackers aiming to secure generative AI applications. From foundational concepts in LLM security to advanced red teaming techniques, this course equips you with both the knowledge and actionable skills to protect LLM systems.Throughout the course, you'll engage with practical case studies and attack simulations, including demonstrations on prompt injection, sensitive data disclosure, hallucination handling, model denial of service, and insecure plugin behavior. You'll also learn to use tools, processes, and frameworks like MITRE ATT & CK to assess AI application risks in a structured manner.By the end of this course, you will be able to identify and exploit vulnerabilities in LLMs, and design mitigation and reporting strategies that align with industry standards.Key Benefits for You:LLM Security Insights:Understand the vulnerabilities of generative AI models and learn proactive testing techniques to identify them.Penetration Testing Essentials:Master red teaming strategies, the phases of exploitation, and post-exploitation handling tailored for LLM-based applications.Hands-On Demos:Gain practical experience through real-world attack simulations, including biased output, overreliance, and information leaks.Framework Mastery:Learn to apply MITRE ATT & CK concepts with hands-on exercises that address LLM-specific threats.Secure AI Development:Enhance your skills in building resilient generative AI applications by implementing defense mechanisms like secure output handling and plugin protections.Join us today for an exciting journey into the world of AI security-enroll now and take the first step towards becoming an expert in LLM penetration testing!
