Retrieval-Augmented Generation (RAG) enables large language models to access external knowledge during inference, but its reliance on external knowledge bases also introduces new attack surfaces. Existing data extraction attacks against RAG systems rely on either prompt injection, which heavily depends on the generator...
Yuchen Chen, Wei Cheng, Yuan Xiao et al.· 0 citations
Software libraries frequently evolve, introducing breaking changes that disrupt client applications. Existing detection approaches primarily target static programming languages or focus on syntactic changes, leaving behavioral breaking changes in dynamic languages such as Python underexplored. This task is particularly...
Wei Cheng, Chen Shen, Huan Zhang et al.· Proceedings of the ACM on So...· 0 citations
This paper proposes ARIA, an automated red-teaming framework for crafting covert and effective backdoored instructions against customized LLMs, which significantly outperforms existing attacks in evading platform-side and user-side detection, and stays effective against existing defense methods.
Yuchen Chen, Wei Cheng, Yuan Xiao et al.· Proceedings of the 41st IEEE...· 0 citations
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