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New GPT-Red agent automates LLM red-teaming, outperforming humans

Researchers have developed GPT-Red, an automated agent designed to discover prompt injection attacks against large language models. This agent was trained using a scalable self-play algorithm and has demonstrated superior performance compared to human red-teamers, successfully compromising previous models like GPT-5.5. The development of GPT-Red is part of an effort to enhance the robustness of frontier LLMs, with the expectation that stronger models will, in turn, enable the creation of even more capable red-teaming agents, fostering a cycle of continuous improvement in AI safety. AI

IMPACT This automated red-teaming approach could accelerate the discovery of vulnerabilities and improve the overall safety and robustness of frontier LLMs.

RANK_REASON The cluster describes a research paper detailing a new method for automated red-teaming of LLMs.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New GPT-Red agent automates LLM red-teaming, outperforming humans

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The cluster describes a research paper detailing a new method for automated red-teaming of LLMs.
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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Eric Wallace, Christopher A. Choquette-Choo, Nikhil Kandpal, Sam Toyer, Dylan Hunn, Stephanie Lin, Yuxin Wen, Xiangyu Qi, Christopher Wolff, Zizhao Wang, Milad Nasr, Sicheng Zhu, Chuan Guo, Juan Felipe Cer\'on Uribe, Kaiwen Wang, Aiden Low, Kai Xiao, Kai… ·

    GPT-Red: Automated Red Teaming via Self-Play at Scale

    arXiv:2607.26115v1 Announce Type: cross Abstract: We introduce \textbf{GPT-Red}, an automated red-teaming agent that is trained to discover novel prompt injection attacks against frontier LLMs. The goal of this model is to evaluate and improve the robustness of our production sys…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    GPT-Red: Automated Red Teaming via Self-Play at Scale

    We introduce GPT-Red, an automated red-teaming agent that is trained to discover novel prompt injection attacks against frontier LLMs. The goal of this model is to evaluate and improve the robustness of our production systems. To this end, we use it to adversarially train GPT-5.6…