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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

This work proposes a curriculum learning-based method to address the cold-start problem and can effectively red-team frontier LLMs, and shows that the attacker LLM transfers across targets, e.g., an attacker LLM trained to defeat one strong LLM also succeeds against six other frontier LLMs it was never trained on.

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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