Yihong Jin

Adversarial Prompt Optimization in LLMs: HijackNet’s Approach to Robustness and Defense Evasion

2025 · Preprints.org

This paper introduces HijackNet, an adversarial prompt hijacking framework designed to improve hijacking success rates and generalization in multi-lingual tasks. Combining Neural Architecture Search (NAS), Reinforcement Learning (RL), and Multi-Objective Optimization (MOO), HijackNet generates adversarial …