Introduction to Prompt Injection Vulnerabilities
- Offered byCoursera
Introduction to Prompt Injection Vulnerabilities at Coursera Overview
Duration | 2 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Introduction to Prompt Injection Vulnerabilities at Coursera Highlights
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Introduction to Prompt Injection Vulnerabilities at Coursera Course details
- What you'll learn
- Analyze and discuss various attack methods targeting Large Language Model (LLM) applications.
- Demonstrate the ability to identify and comprehend the primary attack method, Prompt Injection, used against LLMs.
- Evaluate the risks associated with Prompt Injection attacks and gain an understanding of the different attack scenarios involving LLMs.
- Formulate strategies for mitigating Prompt Injection attacks, enhancing their knowledge of security measures against such threats.
- In this course, we enter the space of Prompt Injection Attacks, a critical concern for businesses utilizing Large Language Model systems in their AI applications. By exploring practical examples and real-world implications, such as potential data breaches, system malfunctions, and compromised user interactions, you will grasp the mechanics of these attacks and their potential impact on AI systems. As businesses increasingly rely on AI applications, understanding and mitigating Prompt Injection Attacks is essential for safeguarding data and ensuring operational continuity. This course empowers you to recognize vulnerabilities, assess risks, and implement effective countermeasures. This course is for anyone who wants to learn about Large Language Models and their susceptibility to attacks, such as AI Developers, Cybersecurity Professionals, Web Application Security Analysts, AI Enthusiasts.
Introduction to Prompt Injection Vulnerabilities at Coursera Curriculum
Introduction to Prompt Injection Vulnerabilities (Introduction to Prompt Injection Attacks)
Welcome and Meet Your Instructor
Define Large Language Models (LLM)
Example LLM Application
Demonstration: LLM Capabilities
Exploring the OWASP Top 10
Identifying LLM Attack Methods
LLM Attack
Ultimate Black Box Technology
Security Testing Challenges
Demonstration: Prompt Injection Risk
Passive and Active Methods
Concatenation of Prompts
Demonstration: Prompt Injection Attack Techniques
Principle of Least Services and Privileges
Human Loop
Segregation and Isolation
Demonstration: Segregation
Welcome to the Course: Course Overview
Universal and Transferable Adversarial Attacks
OWASP Top 10 for LLMs: An Overview with SOCRadar
Prompt Injections: How Can We Protect Against Them?
AI Prompts
Network Segregation and Segmentation
Final Assessment
Introduction to Prompt Injection Vulnerabilities at Coursera Admission Process
Important Dates
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