From the course: AI Security and Responsible AI Practices by Pearson
Unlock this course with a free trial
Join today to access over 26,400 courses taught by industry experts.
Learning objectives
From the course: AI Security and Responsible AI Practices by Pearson
Learning objectives
Welcome to Lesson 3, Fundamentals of AI and ML Security. In this lesson, we will address the importance of security in AI and machine learning systems, setting the stage for why this topic is not just relevant, but essential in today's AI-driven world. We will deep dive into the OWASP Top 10 Risks for Large Language Model Applications. We will learn about prompt injection attacks and data poisoning attacks. As we move forward, we will discuss insecure output handling and insecure plugin design. We will also explore the concept of excessive agency in AI systems, an area that deals with the unintended consequences of giving too much control to AI systems. You will also learn about model theft attacks and the critical issue of overreliance on AI systems. Let's get started.
Contents
-
-
-
-
-
(Locked)
Module 2: AI and ML security introduction48s
-
(Locked)
Learning objectives1m 1s
-
(Locked)
Importance of security in AI and ML systems2m 45s
-
(Locked)
OWASP Top 10 for LLM Applications3m 7s
-
(Locked)
Exploring prompt injection attacks5m 14s
-
(Locked)
Surveying data poisoning attacks4m 39s
-
(Locked)
Understanding insecure output handling5m 6s
-
(Locked)
Discussing insecure plugin design4m 11s
-
(Locked)
Understanding excessive agency4m 7s
-
(Locked)
Exploring model theft attacks2m 40s
-
(Locked)
Understanding overreliance of AI systems4m 6s
-
(Locked)
-
-
-
-
-
-