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Chenlong Yin

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#machine learning Preprint Sep 2026

Climbing the Hill: Prompt Injection Red-Teaming Against Frontier Models with Curriculum Reinforcement Learning

Prompt injection is a leading security risk for LLMs and LLM-based applications such as agents. State-of-the-art red-teaming methods for prompt injection leverage reinforcement learning (RL) to train an attacker LLM to generate effective injected prompts. However, when targeting frontier LLMs such as GPT-6-Luna, a majo...

Chen-Long Yin, Xiao-Long Jin, Wei Zou et al. · 0 citations
Preprint Aug 2026

Agent Against Agent: An Agentic System for Automatic Prompt Injection Red Teaming

PIMiner is developed, an agentic system for prompt injection red-teaming that builds a strategy library from scratch during training and can be directly transferred to a previously unseen target LLM without additional training at test time.

Yan-Ting Wang, Chenlong Yin, Runpeng Geng et al. · 0 citations

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