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所在平台: Udemy |
课程主页: https://www.udemy.com/course/risks-and-cybersecurity-in-generative-ai/
课程评论：没有评论
课程名称：生成性人工智能中的风险与网络安全 课程概述： 《生成性人工智能中的风险与网络安全》课程全面探讨了人工智能与网络安全之间的交集。该课程旨在让学员深入理解部署生成性人工智能技术所需的潜在风险和安全措施，确保安全和负责任地使用这些技术。 课程开始时重点介绍人工智能和生成模型的基础知识，学习生成性人工智能的广泛应用及其益处，并初步了解人工智能的安全考量。随后，课程详细审视核心网络安全风险，如数据隐私、人工智能服务提供商的漏洞以及威胁参与者的演变，帮助学员掌握保护敏感信息和缓解风险的策略。 课程进一步深入探讨特定的攻击向量和人工智能独有的漏洞，包括数据泄露、提示注入及沙箱不足带来的挑战。每个模块都通过真实案例和示范课程提供实践知识，以增强学习体验。 课程还涉及网络层面的风险和特定于人工智能的攻击，涵盖了关键领域，如服务器端请求伪造（SSRF）、分布式拒绝服务攻击（DDoS）、数据中毒以及模型偏见等。最后几个模块专注于法律和伦理考量，引导学员解决知识产权挑战，促进人工智能开发和使用中的伦理规范。 完成本课程后，学员将能够有效评估、应对并倡导在生成性人工智能领域实施强有力的网络安全实践，确保这些技术以最高的安全标准和伦理考虑进行开发和部署。
The course "Risks and Cybersecurity in Generative AI" offers a comprehensive exploration into the intersection of artificial intelligence and cybersecurity. This course is designed to provide you with a thorough understanding of the potential risks and security measures necessary for deploying generative AI technologies safely and responsibly.Starting with an introduction to the basics of AI and generative models, you will learn about the broad applications and benefits of generative AI, followed by an initial look at AI security considerations. The course progresses into a detailed examination of core cybersecurity risks such as data privacy, breaches at AI service providers, and the evolution of threat actors, equipping you with strategies to protect sensitive information and mitigate risks.Further, you will delve into specific attack vectors and vulnerabilities unique to AI, including data leakage, prompt injections, and the challenges of inadequate sandboxing. Each module is structured to provide practical knowledge through real-world examples and demonstrative sessions, enhancing your learning experience.The course also addresses network-level risks and AI-specific attacks, covering critical areas like Server Side Request Forgery (SSRF), DDoS attacks, data poisoning, and model bias. The final modules focus on legal and ethical considerations, guiding you through navigating intellectual property challenges and promoting ethical guidelines in AI development and usage.By the end of this course, you will be well-prepared to assess, address, and advocate for robust cybersecurity practices in the field of generative AI, ensuring these technologies are developed and deployed with the highest standards of security and ethical considerations.
