Ai Security Bootcamp: Hack Llms Like A Pro
Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English
| Size: 119.31 MB[/align]
| Duration: 0h 36m
AI Security Made Easy: Learn AI Fundamentals, OWASP Top10 LLM, Real-world Attack Scenarios and Mitigations, Hacking Labs
[b]What you'll learn[/b]
Understand the fundamentals of AI
Identify vulnerabilities in AI chatbot
Expertise in OWASP Top 10 LLM vulnerabilities
Hands-on AI chatbot hacking labs
Learn AI hacking techniques using real-world scenarios
AI Attack Mitigation Strategies
Bridge the gap between theory and practice in AI hacking
Empower Yourself to Defend Against AI-Based Threats
Prepare for a career in AI security
[b]Requirements[/b]
No prerequisites required
Beginner-friendly
[b]Description[/b]
Introducing our comprehensive GenAI Hacking Course "AI Security Bootcamp: Hack LLMs like a Pro". In this course , you'll be exploring the fundamental principles of AI before advancing to hacking AI chatbots. To enrich the learning experience, we've integrated lab exercises with hacking demos. We are dedicated to guiding you throughout this journey by providing lifetime access to our Discord channel. Here, you can participate in discussions and seek assistance from both us and your fellow learners. Learning becomes more enjoyable when you are part of a supportive community.Why choose this AI Security course?Whether you're a seasoned cybersecurity enthusiast or just starting out in the field, this course is designed to equip you with the knowledge and skills needed to excel in the emerging AI Security field. Here's what you can expect from our AI Security Bootcamp:Master the fundamentals of AI and its intersection with cybersecurity.Identify vulnerabilities in AI chatbots and understand OWASP Top 10 LLM vulnerabilities.Engage in hands-on hacking labs specifically tailored for AI chatbots.Learn AI hacking techniques through immersive real-world scenarios.Explore effective AI Attack Mitigation Strategies to safeguard against threats.Bridge the gap between theory and practice in AI hacking, empowering yourself to defend against AI-based vulnerabilities.Equip yourself with the skills needed to pursue a career in AI security.Our course is designed to bridge the gap between theory and practical experience in AI Security through hacking lab exercises. By the end of this bootcamp, you will not only be equipped with the knowledge and skills to defend against AI-based threats but also empowered to pursue a rewarding career in AI security.
Overview
Section 1: AI Security Bootcamp: Getting Started
Lecture 1 Teaser
Lecture 2 Course Introduction
Lecture 3 Contents
Section 2: AI Fundamentals
Lecture 4 Basics of AI
Lecture 5 Top LLM vulnerabilities
Section 3: Do Not Skip - Hacking Lab Setup
Lecture 6 Docker Installation
Lecture 7 Generate OpenAI API Key
Lecture 8 Spin up Lab Container
Lecture 9 Verify Lab Setup
Section 4: Prompt Injection
Lecture 10 Overview
Lecture 11 Prompt Injection Types
Lecture 12 Real-world Attack Scenarios
Lecture 13 Security Recommendations
Lecture 14 Hacking Lab Exercise
Section 5: Sensitive Information Disclosure
Lecture 15 Overview
Lecture 16 Real-world Attack Scenarios
Lecture 17 Security Recommendations
Lecture 18 Hacking Lab Exercise
Section 6: Insecure Output Handling
Lecture 19 Overview
Lecture 20 Real-world Attack Scenarios
Lecture 21 Security Recommendations
Lecture 22 Hacking Lab Exercise
Section 7: Overreliance
Lecture 23 Overview
Lecture 24 Real-world Attack Scenarios
Lecture 25 Security Recommendations
Lecture 26 Hacking Lab Exercise
Section 8: Training Data Poisoning
Lecture 27 Overview
Lecture 28 Real-world Attack Scenarios
Lecture 29 Security Recommendations
Lecture 30 Hacking Lab Exercise
Section 9: Excessive Agency
Lecture 31 Overview
Lecture 32 Real-world Attack Scenarios
Lecture 33 Security Recommendations
Lecture 34 Hacking Lab Exercise
Section 10: Model Denial of Service
Lecture 35 Overview
Lecture 36 Real-world Attack Scenarios
Lecture 37 Hacking Lab Exercise
Lecture 38 Security Recommendations
Section 11: Insecure Plugin Design
Lecture 39 Overview
Lecture 40 Real-world Attack Scenarios
Lecture 41 Security Recommendations
Section 12: Model Theft
Lecture 42 Overview
Lecture 43 Real-world Attack Scenarios
Lecture 44 Security Recommendations
Lecture 45 Hacking Lab Exercise
Section 13: Supply Chain Vulnerabilities
Lecture 46 Overview
Lecture 47 Real-world Attack Scenarios
Lecture 48 Security Recommendations
Lecture 49 Hacking Lab Exercise
Section 14: Wrap Up
Lecture 50 Course Recap
Lecture 51 What's Next?
Anyone interested in AI Security,Machine Learning Developer,Data Scientist/Data Engineer,Security Engineer,GenAI Developer - LLM,Aspiring AI/Generative AI Enthusiast,Security Leaders,Career Seekers in Security
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