Jailbreak Antidote: Smart Defense for LLMs
Balancing safety and utility with minimal performance impact
This research introduces a novel runtime approach to counter jailbreak attacks while maintaining LLM performance and usefulness.
- Sparse Representation Adjustment technique modifies internal LLM representations at runtime to filter harmful content
- Achieves dynamic safety-utility balance without computational overhead or increased latency
- Provides flexible, adjustable defense that avoids overly restrictive safety measures
- Demonstrates effectiveness against multiple jailbreak attack types while preserving model utility
This advancement addresses critical security concerns in commercial LLM deployments by providing a practical defense mechanism that doesn't compromise performance - essential for enterprise applications where both safety and functionality are required.