9 citations · 9 across the 5 of their papers we have counts for
5 papers
What's in Your Agent's Context? Context Privilege Escalation Attacks against AI Agent Harness
Zichuan Li, Jian Cui, Ashley Chen +2
Real-world, high-profile AI agent harnesses often rely on vendor-proprietary or opaque designs for context assembly, leaving the sources and underlying logic of assembled context p…
Maris: A Formally Verifiable Privacy Policy Enforcement Paradigm for Multi-Agent Collaboration Systems
Jian Cui, Zichuan Li, Chi Wang +2
Multi-agent collaboration systems (MACS), powered by large language models (LLMs), solve complex problems efficiently by leveraging each agent's specialization and communication be…
Les Dissonances: Cross-Tool Harvesting and Polluting in Pool-of-Tools Empowered LLM Agents
Zichuan Li, Jian Cui, Xiaojing Liao +1
Large Language Model (LLM) agents are autonomous systems powered by LLMs, capable of reasoning and planning to solve problems by leveraging a set of tools. However, the integration…
FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data
Haoran Sun, Renren Jin, Shaoyang Xu +10
Large language models (LLMs) have demonstrated prowess in a wide range of tasks. However, many LLMs exhibit significant performance discrepancies between high- and low-resource lan…
Malla: Demystifying Real-world Large Language Model Integrated Malicious Services
Zilong Lin, Jian Cui, Xiaojing Liao +1
The underground exploitation of large language models (LLMs) for malicious services (i.e., Malla) is witnessing an uptick, amplifying the cyber threat landscape and posing question…