collaborators

8 papers

cs.SE2026

FlowArk: Boosting Agentic Data-flow Analysis for Android Apps via Context-Aware Knowledge Reuse

Yiming Zhang, Jiangrong Wu, Yuhong Nan

Data-flow analysis is foundational to Android app privacy and security auditing. Recent coding agents can assist with non-trivial source-to-sink data-flow analysis tasks by searchi…

cs.CR2026

MOSAIC: Knowledge-Guided CLI Command Composition Attack in LLM Coding Agents

Jiangrong Wu, Huaijin Wang, Yihao Zhang +2

LLM coding agents increasingly complete development tasks by issuing ordinary CLI commands. Following the Unix design, these commands cooperate through shared operating-system stat…

cs.CR2026

SkillScope: Toward Fine-Grained Least-Privilege Enforcement for Agent Skills

Jiangrong Wu, Yuhong Nan, Yixi Lin +4

Agent Skills have become a practical way to extend LLM agents by packaging metadata, natural-language instructions, and executable resources into reusable capability bundles. Howev…

cs.CR2026

The Salami Slicing Threat: Exploiting Cumulative Risks in LLM Systems

Yihao Zhang, Kai Wang, Jiangrong Wu +7

Large Language Models (LLMs) face prominent security risks from jailbreaking, a practice that manipulates models to bypass built-in security constraints and generate unethical or u…

cs.SE2026

ChainFuzzer: Greybox Fuzzing for Workflow-Level Multi-Tool Vulnerabilities in LLM Agents

Jiangrong Wu, Zitong Yao, Yuhong Nan +1

Tool-augmented LLM agents increasingly rely on multi-step, multi-tool workflows to complete real tasks. This design expands the attack surface, because data produced by one tool ca…

cs.SE2026

AgentRaft: Automated Detection of Data Over-Exposure in LLM Agents

Yixi Lin, Jiangrong Wu, Yuhong Nan +3

The rapid integration of Large Language Model (LLM) agents into autonomous task execution has introduced significant privacy concerns within cross-tool data flows. In this paper, w…

cs.CR2026

AgentWorm: Self-Propagating Attacks Across LLM Agent Ecosystems

Yihao Zhang, Zeming Wei, Xiaokun Luan +7

Autonomous LLM-based agents increasingly operate as long-running processes forming densely interconnected multi-agent ecosystems, whose security properties remain largely unexplore…

cs.CR2025

Your Mailbox Is Mine: Prompt Injection Attacks Against Real-World LLM Email Agents

Jiangrong Wu, Yuhong Nan, Jianliang Wu +4

Large Language Model (LLM) email agents have emerged as pivotal autonomous assistants, serving as a critical root of trust for digital identity by managing sensitive communications…