Certified Defense Against LLM Attacks
First framework providing guaranteed safety against adversarial prompts
The erase-and-check framework introduces a novel approach to defend LLMs against manipulative prompts that bypass safety guardrails.
- Systematically erases individual tokens from inputs to identify and block harmful content
- Provides certifiable safety guarantees - a first in LLM security
- Prevents attackers from injecting malicious tokens that could generate harmful outputs
- Creates a more robust defense layer for enterprise AI deployments
This research is critical for organizations deploying LLMs in customer-facing applications, as it addresses a major vulnerability that could otherwise lead to reputational damage, legal issues, and erosion of trust in AI systems.