AI Security & Adversarial Attacks › Prompt Injection Attacks on LLMs

What are common mistakes to avoid with Prompt Injection Attacks on LLMs

Intermediate

Answer

A common mistake with Prompt Injection Attacks on LLMs is applying it without fully understanding the underlying data or problem, which often leads to weak or misleading results. Skipping proper testing before relying on it in a real project is another frequent error.

Real-world example A malicious webpage might include hidden text trying to instruct an AI assistant to ignore its safety guidelines when summarizing that page.

Common follow-ups: What is AI Security & Adversarial Attacks, How is Prompt Injection Attacks on LLMs evaluated in practice, What tools are commonly used for Prompt Injection Attacks on LLMs

AI Security & Adversarial Attacks topics: Introduction to AI Security Adversarial Examples & Attacks Data Poisoning Attacks