Speculative Safety Honeypot: Toward Proactive Defense Against Multi-turn Agent Attacks
As Large Language Model (LLM) agents are increasingly deployed in complex environments, multi-turn interaction attacks have become a significant security challenge. Existing detection methods typically rely on historical context. However, this retrospective logic struggles to identify deep malicious intents that are sp...
Ze-Zhong Wang, Xue-Yang Tang, Rui Lian et al.
· 1 citation