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所在平台: Udemy |
课程主页: https://www.udemy.com/course/llm-pentesting-red-teaming/
课程评论：没有评论
课程名称：LLM 渗透测试：掌握人工智能模型的安全测试 课程概述： 本课程深入探讨大型语言模型（LLM）安全领域，旨在为初学者和资深安全专业人员提供全面的知识和技能。通过本课程，您将学习如何识别、利用和防御与人工智能驱动系统相关的特定漏洞。 学习内容： 1. LLM基础：了解LLM的定义、独特架构以及其处理数据以做出智能预测的方式。 2. LLM安全挑战：探讨数据、模型和基础设施安全的核心方面，以及与安全部署LLM相关的伦理考量。 3. 实践LLM黑客技术：通过基于LLM OWASP前10名的实际演示，学习如何进行提示注入攻击、API漏洞利用、过度代理利用和输出处理。 4. 防御策略：学习防御技术，包括输入消毒、实施模型保护措施、过滤和对抗性训练，以增强AI模型的长期安全性。 课程结构： 本课程设计为自学形式，共有2小时以上的高质量视频内容（后续将增加更多内容），分为四个关键部分： - 第一部分：简介 - 课程概述和主要目标。 - 第二部分：关于LLM的所有内容 - LLM的基本原理、数据及模型安全和伦理考量。 - 第三部分：LLM黑客 - 实践黑客策略及独特的LLM黑客游戏，以便于应用学习。 - 第四部分：LLM的防御策略 - 已证实的防御技术，旨在减轻漏洞并确保AI系统安全。 无论您是希望建立新技能还是在AI安全领域提升职业生涯，本课程将引导您掌握现代AI应用所需的安全测试技术。立即报名，获得成为LLM安全测试专家所需的洞察、技能和信心！
LLM Pentesting: Mastering Security Testing for AI ModelsCourse Description:Dive into the rapidly evolving field of Large Language Model (LLM) security with this comprehensive course designed for both beginners and seasoned security professionals. LLM Pentesting: Mastering Security Testing for AI Models will equip you with the skills to identify, exploit, and defend against vulnerabilities specific to AI-driven systems.What You'll Learn:Foundations of LLMs: Understand what LLMs are, their unique architecture, and how they process data to make intelligent predictions.LLM Security Challenges: Explore the core aspects of data, model, and infrastructure security, alongside ethical considerations critical to safe LLM deployment.Hands-On LLM Hacking Techniques: Delve into practical demonstrations based on the LLM OWASP Top 10, covering prompt injection attacks, API vulnerabilities, excessive agency exploitation, and output handling.Defensive Strategies: Learn defensive techniques, including input sanitization, implementing model guardrails, filtering, and adversarial training to future-proof AI models.Course Structure:This course is designed for self-paced learning with 2+ hours of high-quality video content (and more to come). It's divided into 4 key sections:Section 1: Introduction - Course overview and key objectives.Section 2: All About LLMs - Fundamentals of LLMs, data and model security, and ethical considerations.Section 3: LLM Hacking - Hands-on hacking tactics and a unique LLM hacking game for applied learning.Section 4: Defensive Strategies for LLMs - Proven defense techniques to mitigate vulnerabilities and secure AI systems.Whether you're looking to build new skills or advance your career in AI security, this course will guide you through mastering the security testing techniques required for modern AI applications.Enroll today to gain the insights, skills, and confidence needed to become an expert in LLM security testing!
