2025
ALRPHFS: Adversarially Learned Risk Patterns with Hierarchical Fast & Slow Reasoning for Robust Agent Defense
EMNLP 2025
LLM Agents are becoming central to intelligent systems. However, their deployment raises serious safety concerns. Existing defenses largely rely on “Safety Checks”, which struggle to capture the complex semantic risks posed by harmful user inputs or unsafe agent behaviors—creating a significant sema