JAVELINGUARD: LOW-COST TRANSFORMER ARCHITECTURES FOR LLM SECURITY

Summary from the TLDR AI newsletter

JavelinGuard is a suite of low-cost, high-performance model architectures designed for detecting malicious intent in large language model (LLM) interactions. Each architecture presents unique trade-offs in speed, interpretability, and resource requirements. The architectures are optimized specifically for production deployment. This paper explores the architectures, benchmarking them across nine diverse adversarial datasets, and compares them against leading open-source guardrail models and large decoder-only LLMs.