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20222026
most citedJailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations

22 citations · 37 across the 28 of their papers we have counts for

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Showing 2025 · cs.CRShow all

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cs.CR2025

Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation

Chengcan Wu, Zhixin Zhang, Mingqian Xu +2

Multi-Agent Systems (MAS) have become a prevalent paradigm for Large Language Model (LLM) applications. However, the complex multi-agent design in MAS introduces unique trustworthi…

cs.CR2025

ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction

Zeming Wei, Chengcan Wu, Meng Sun

Large Language Models (LLMs) have achieved tremendous success in various tasks, yet concerns about their safety and security have emerged. In particular, they pose risks of generat…