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Introduction to Prompt Injection Vulnerabilities
Kevin Cardwell
Kevin Cardwell
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.
Read more
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.
Read more
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.
Learners should have knowledge of computers and their usage as part of a network, as well as familiarity with fundamental cybersecurity concepts, and proficiency in using command-line interfaces (CLI). Prior experience with programming languages (Python, JavaScript, etc.) is beneficial but not mandatory.
By the end of this course, you will be equipped with actionable insights and strategies to protect your organization's AI systems from the ever-evolving threat landscape, making you an asset in today's AI-driven business environment.
Register for this course and see more details by visiting:
OpenCourser.com/course/1u76j1/introduction
What's inside
Syllabus
Introduction to Prompt Injection Vulnerabilities (Introduction to Prompt Injection Attacks)
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.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for people new to AI and cybersecurity who want to understand prompt injection attacks
Taught by Kevin Cardwell, who is recognized for their work in this field
Covers practical examples and real-world implications of prompt injection attacks
Focuses on assessing risks and implementing effective countermeasures to protect AI systems
Designed for people with knowledge of computers and cybersecurity concepts
Requires familiarity with using command-line interfaces (CLI)
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Introduction to Prompt Injection Vulnerabilities with these
activities:
Form a study group with other course participants
Show steps
Collaborating with peers can enhance comprehension and reinforce concepts
Show steps
-
Identify a group of fellow course participants with complementary skills and interests
-
Establish a regular meeting schedule and agenda
-
Facilitate discussions, share knowledge, and work through problems together
Practice Prompt Injection Attacks in Coding Sandbox
Show steps
Reinforce your understanding of prompt injection attacks by practicing them in a safe coding environment.
Show steps
-
Review the course material on prompt injection attacks.
-
Set up a coding sandbox environment.
-
Implement a simple AI application vulnerable to prompt injection attacks.
-
Craft malicious prompts designed to exploit the vulnerability.
-
Observe and analyze the impact of the prompt injection attacks on the AI application's behavior.
Study of examples of actual Prompt Injection attacks
Show steps
Reviewing examples of Prompt Injection attacks will provide practical insights into their mechanisms
Show steps
-
Read up on case studies and research papers on Prompt Injection attacks
-
Watch videos and presentations on Prompt Injection attacks
-
Attend webinars or conferences on Prompt Injection attacks
Show all three activities
Form a study group with other course participants
Show steps
Collaborating with peers can enhance comprehension and reinforce concepts
Show steps
Show steps
Show steps
- Identify a group of fellow course participants with complementary skills and interests
- Establish a regular meeting schedule and agenda
- Facilitate discussions, share knowledge, and work through problems together
Practice Prompt Injection Attacks in Coding Sandbox
Show steps
Reinforce your understanding of prompt injection attacks by practicing them in a safe coding environment.
Show steps
Show steps
Show steps
- Review the course material on prompt injection attacks.
- Set up a coding sandbox environment.
- Implement a simple AI application vulnerable to prompt injection attacks.
- Craft malicious prompts designed to exploit the vulnerability.
- Observe and analyze the impact of the prompt injection attacks on the AI application's behavior.
Study of examples of actual Prompt Injection attacks
Show steps
Reviewing examples of Prompt Injection attacks will provide practical insights into their mechanisms
Show steps
Show steps
Show steps
- Read up on case studies and research papers on Prompt Injection attacks
- Watch videos and presentations on Prompt Injection attacks
- Attend webinars or conferences on Prompt Injection attacks
Show all three activities
Career center
Learners who complete Introduction to Prompt Injection Vulnerabilities will develop knowledge and skills
that may be useful to these careers:
Cybersecurity Analyst
Cybersecurity Analyst
Cybersecurity Analysts are responsible for protecting computer systems and networks from cyberattacks. This course on Prompt Injection Vulnerabilities provides Cybersecurity Analysts with the knowledge and skills to identify and prevent Prompt Injection attacks, which can compromise sensitive data and disrupt operations.
Web Application Developer
Web Application Developer
Web Application Developers are responsible for designing, developing, and maintaining web applications. This course on Prompt Injection Vulnerabilities helps Web Application Developers understand how to secure web applications from Prompt Injection attacks, which can lead to data breaches and other security incidents.
Chief Information Security Officer (CISO)
Chief Information Security Officer (CISO)
CISOs are responsible for overseeing the security of an organization's information systems. This course on Prompt Injection Vulnerabilities provides CISOs with the knowledge and skills to understand the risks associated with using LLMs and how to mitigate them, which is critical for protecting organizations from cyberattacks and data breaches.
Artificial Intelligence (AI) Engineer
Artificial Intelligence (AI) Engineer
AI Engineers are responsible for designing, developing, and deploying AI systems. This course on Prompt Injection Vulnerabilities provides AI Engineers with the knowledge to understand the risks associated with using LLMs and how to mitigate them, which is critical for building secure and reliable AI systems.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for developing and deploying machine learning models. This course on Prompt Injection Vulnerabilities provides Machine Learning Engineers with the knowledge to understand the risks associated with using LLMs and how to mitigate them, which is essential for building secure and reliable machine learning systems.
Information Security Analyst
Information Security Analyst
Information Security Analysts are responsible for protecting the confidentiality, integrity, and availability of information systems. This course on Prompt Injection Vulnerabilities provides Information Security Analysts with the knowledge and skills to identify and prevent Prompt Injection attacks, which can compromise sensitive data and disrupt operations.
Security Consultant
Security Consultant
Security Consultants are responsible for providing security advice and guidance to organizations. This course on Prompt Injection Vulnerabilities provides Security Consultants with the knowledge and skills to understand the risks associated with using LLMs and how to mitigate them, which is critical for helping organizations improve their security posture.
Security Architect
Security Architect
Security Architects are responsible for designing and implementing security solutions for an organization. This course on Prompt Injection Vulnerabilities provides Security Architects with the knowledge and skills to understand the risks associated with using LLMs and how to mitigate them, which is critical for building secure and resilient security architectures.
Data Scientist
Data Scientist
Data Scientists are responsible for collecting, analyzing, and interpreting data to help businesses make informed decisions. This course on Prompt Injection Vulnerabilities provides a deep understanding of the risks associated with using Large Language Models (LLMs) and how to mitigate them, which is critical knowledge for Data Scientists who work with LLMs to extract insights from data.
Chief Technology Officer (CTO)
Chief Technology Officer (CTO)
CTOs are responsible for overseeing the technology strategy and operations of an organization. This course on Prompt Injection Vulnerabilities provides CTOs with the knowledge to understand the risks associated with using LLMs and how to mitigate them, which is critical for ensuring the security and reliability of an organization's technology infrastructure.
Risk Manager
Risk Manager
Risk Managers are responsible for identifying, assessing, and mitigating risks to an organization. This course on Prompt Injection Vulnerabilities provides Risk Managers with the knowledge to understand the risks associated with using LLMs and how to mitigate them, which is critical for protecting organizations from financial and reputational damage.
Information Technology (IT) Auditor
Information Technology (IT) Auditor
IT Auditors are responsible for assessing the security of an organization's IT systems and controls. This course on Prompt Injection Vulnerabilities provides IT Auditors with the knowledge and skills to identify and prevent Prompt Injection attacks, which can compromise sensitive data and disrupt operations.
IT Manager
IT Manager
IT Managers are responsible for overseeing the operation and maintenance of an organization's IT systems. This course on Prompt Injection Vulnerabilities provides IT Managers with the knowledge and skills to understand the risks associated with using LLMs and how to mitigate them, which is critical for ensuring the security and reliability of an organization's IT infrastructure.
Ethical Hacker
Ethical Hacker
Ethical Hackers are responsible for testing the security of computer systems and networks. This course on Prompt Injection Vulnerabilities provides Ethical Hackers with the knowledge and skills to identify and exploit Prompt Injection vulnerabilities, which can help organizations improve their security posture.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and testing software applications. This course on Prompt Injection Vulnerabilities provides Software Engineers with the knowledge and skills to understand the risks associated with using LLMs and how to mitigate them, which is critical for building secure and reliable software applications.
For more career information including salaries, visit:
OpenCourser.com/course/1u76j1/introduction
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Introduction to Prompt Injection Vulnerabilities.
Classic text on statistical learning, covering topics such as linear regression, logistic regression, and support vector machines. It valuable resource for anyone interested in understanding the fundamentals of machine learning.
Save
Comprehensive overview of deep learning, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It valuable resource for anyone interested in learning about the latest advances in deep learning.
Comprehensive overview of pattern recognition and machine learning, covering topics such as Bayesian inference, hidden Markov models, and support vector machines. It valuable resource for anyone interested in understanding the fundamentals of machine learning.
Practical guide to machine learning with Python, covering topics such as data preprocessing, model selection, and hyperparameter tuning. It valuable resource for anyone interested in applying machine learning to real-world problems.
Save
Practical guide to machine learning in Chinese, covering topics such as data preprocessing, model selection, and hyperparameter tuning. It valuable resource for anyone interested in applying machine learning to real-world problems.
Save
Comprehensive overview of deep learning in Chinese, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It valuable resource for anyone interested in learning about the latest advances in deep learning.
Save
Comprehensive overview of natural language processing in Chinese, covering topics such as part-of-speech tagging, parsing, and machine translation. It valuable resource for anyone interested in learning about the latest advances in NLP.
Save
Classic text on statistical learning in Chinese, covering topics such as linear regression, logistic regression, and support vector machines. It valuable resource for anyone interested in understanding the fundamentals of machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/1u76j1/introduction
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Effort
90 minutes
Level
Introductory
Via
Coursera
Institution
Coursera Instructor Network
Instructor
Kevin Cardwell
Language
English
Good to know
Suitable for people new to AI and cybersecurity who want to understand prompt injection attacks
Taught by Kevin Cardwell, who is recognized for their work in this field
Covers practical examples and real-world implications of prompt injection attacks
Focuses on assessing risks and implementing effective countermeasures to protect AI systems
Designed for people with knowledge of computers and cybersecurity concepts
Requires familiarity with using command-line interfaces (CLI)
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