"Disregard That" Attacks
9 hours ago
- #LLM Security
- #Context Window
- #Prompt Injection
- The article discusses 'Disregard that!' attacks, a type of vulnerability in LLMs similar to prompt injection.
- LLMs operate on a 'context window', which includes all input text the model considers before generating output.
- Sharing the context window with others or inserting untrusted documents can lead to security vulnerabilities.
- Examples include customer service chatbots being tricked into sending fraudulent messages.
- Attempts to mitigate these attacks with 'guardrails' or structured input often fail, leading to an arms race.
- Multi-level LLM approaches and structured input do not effectively prevent 'Disregard that!' attacks.
- The article suggests mitigations like avoiding untrusted input, accepting limited risks, human review, or generating traditional code.
- OpenAI and other companies face similar challenges with public chatbots and content generation tools.
- End-users running LLMs themselves might offer a more secure alternative to centralized solutions.