Defending Large Language Models Against Prompt Injection Attacks
This article explains the principles and common scenarios of prompt injection attacks on LLMs and provides practical defense strategies—including rule reinforcement, input filtering, output verification, and advanced techniques—to protect AI systems from malicious manipulation.
