Signed-Prompt: A New Approach to Prevent Prompt Injection Attacks Against LLM-Integrated Applications

Understand

The critical challenge of prompt injection attacks in Large Language Models (LLMs) integrated applications, a growing concern in the Artificial Intelligence (AI) field.

• Such attacks, which manipulate LLMs through natural language inputs, pose a significant threat to the security of these applications.
• Traditional defense strategies, including output and input filtering, as well as delimiter use, have proven inadequate.
• This paper introduces the 'Signed-Prompt' method as a novel solution.