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Articles

Security Assessment of DeepSeek Harness with A.I.G: Evaluating Resistance to Indirect Prompt Injection

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By Zonghao Ying, Xiangfan Wu, Huiyu Wu
| huggingface.co
Published on Aug 18 · Submitted by Zonghao Ying on Aug 19 · Tencent Abstract Researchers evaluate indirect prompt injection risks in DeepSeek Harness using controlled taint and dual judges, finding notable success rates across text and file channels and recommending controls between untrusted content and sensitive actions.
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[2511.09920] Uncovering Strategic Egoism Behaviors in Large Language Models

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By Aishan Liu, Zonghao Ying, Xianglong Liu, Jiangfan Liu
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (303) Issue with article?

[2510.15068] Sequential Comics for Jailbreaking Multimodal Large Language Models via Structured Visual Storytelling

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By DongDong Yang, Junjie Mu, Zonghao Ying, Quancheng Zou
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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