Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications

Author:

Zhang Quan1ORCID,Zeng Binqi2ORCID,Zhou Chijin1ORCID,Go Gwihwan1ORCID,Shi Heyuan2ORCID,Jiang Yu1ORCID

Affiliation:

1. Tsinghua University, Beijing, China

2. Central South University, Changsha, China

Publisher

ACM

Reference24 articles.

1. Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection

2. Mistral AI. 2023. Mistral 7B. The best 7B model to date. https://mistral.ai/news/announcing-mistral-7b/

3. Patrick Chao Alexander Robey Edgar Dobriban Hamed Hassani George J Pappas and Eric Wong. 2023. Jailbreaking black box large language models in twenty queries. arXiv preprint arXiv:2310.08419.

4. Chatchat-Space. 2023. ChatChat. https://github.com/chatchat-space/Langchain-Chatchat

5. Vaibhav Garg. 2023. Mitigating Prompt Injection Attacks on an LLM based Customer support App. https://vaibhavgarg1982.medium.com/mitigating-prompt-injection-attacks-on-an-llm-based-customer-support-app-b34298b2bc7a

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