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Model-Based Input Validation - Preventing Prompt Injection Attacks

Conf42 via YouTube

Overview

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Learn essential techniques for securing AI systems against prompt injection attacks in this 17-minute conference talk from Conf42 Prompt 2024. Explore the fundamentals of prompt injection vulnerabilities through live demonstrations, and discover a comprehensive model-based input validation approach for prevention. Dive deep into implementation strategies, testing methodologies, and real-world experimentation results that showcase effective security measures. Master practical methods for validating user inputs using AI models, ensuring robust protection for language model applications while maintaining system functionality and performance.

Syllabus

Introduction to Arato AI and Today's Topic
Understanding Prompt Injection Attacks
Demo: Prompt Injection in Action
Preventing Prompt Injection Attacks
Deep Dive: Model-Based Input Validation
Testing and Experimentation
Conclusion and Final Thoughts

Taught by

Conf42

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