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Hacking generative AI Limiting security risk in the age of AI

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Lessons List | 16 Lesson

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Course Description

Hacking generative Ai, in this course we will learn about the techniques and strategies used to analyze, test, and potentially exploit generative AI systems like ChatGPT, DALL·E, and other large language models. You'll explore real-world methods such as prompt injection, jailbreak attacks, and adversarial prompting, as well as how these methods can bypass ethical filters and safety restrictions. The course also covers data leakage risks, reverse engineering model behavior, and simulating AI red teaming scenarios. Throughout, we’ll emphasize ethical considerations and defensive countermeasures to build more secure AI systems. By the end of the course, you'll understand how generative models can be vulnerable—and how developers and security experts can protect them. Prepare to dive deep into the inner workings of generative AI and its security landscape. IBM Technology