Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization · Around

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Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization · Around

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Similar

Y. Liu, G. Deng, Y. Li, K. Wang, T. Zhang, Y. Liu, H. Wang, Y. Zheng, and Y. Liu, “Prompt injection attack against llm-integrated applications,” arXiv preprint arXiv:2306.05499 , 2023
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2023
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J. Yi, Y. Xie, B. Zhu, K. Hines, E. Kiciman, G. Sun, X. Xie, and F. Wu, “Benchmarking and defending against indirect prompt injection attacks on large language models,” arXiv preprint arXiv:2312.14197 , 2023
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2023
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S. Toyer, O. Watkins, E. A. Mendes, J. Svegliato, L. Bailey, T. Wang, I. Ong, K. Elmaaroufi, P. Abbeel, T. Darrell et al. , “Tensor trust: Interpretable prompt injection attacks from an online game,” arXiv preprint arXiv:2311.01011 , 2023
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2023
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OpenAI, “Gpt-4,” 2023. [Online]. Available: https://openai.com/research/gpt-4
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ali, “Qwen,” 2023. [Online]. Available: https://github.com/QwenLM/Qwen

Then

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X. Liu, Z. Yu, Y. Zhang, N. Zhang, and C. Xiao, “Automatic and universal prompt injection attacks against large language models,” arXiv preprint arXiv:2403.04957 , 2024
Original

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