22 citations · 37 across the 28 of their papers we have counts for
4 papers · 1 filter
SkillSafetyBench: Evaluating Agent Safety under Skill-Facing Attack Surfaces
Chang Jin, An Wang, Zeming Wei +7
Reusable skills are becoming a common interface for extending large language model agents, packaging procedural guidance with access to files, tools, memory, and execution environm…
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…
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…
Jatmo: Prompt Injection Defense by Task-Specific Finetuning
Julien Piet, Maha Alrashed, Chawin Sitawarin +5
Large Language Models (LLMs) are attracting significant research attention due to their instruction-following abilities, allowing users and developers to leverage LLMs for a variet…