most citedNavigating the Labyrinth: Path-Sensitive Unit Test Generation with Large Language Models

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2026

Understanding and Mitigating Cross-Session Attacks via Persistent Artifacts in Agent Skill Composition

Dianshu Liao, Shidong Pan, Guangdong Bai +2

Agent skills extend the capabilities of AI agents by bundling instructions, code, and resources into reusable packages. During skill execution, agents may produce or modify artifac…

cs.CR2026

SkillGuard: A Permission-Centric Framework for Agent Skill Security

Shidong Pan, Xiaoyu Sun, Tianyi Zhang +3

Skills extend LLM agents with reusable instructions, scripts, data, and tool bindings. This shift makes skills a new security principal in agent systems: a skill can alter the agen…

cs.SE2026

Many a Little Makes a Mickle: A Code-Centric Empirical Study of Data Minimization Principle in Android App Development

Dianshu Liao, Shidong Pan, Zhenchang Xing +1

Modern mobile applications consume large amounts of data to function, raising significant privacy concerns and regulatory challenges. While prior work has primarily focused on dete…

cs.CV2026

VPD-100K: Towards Generalizable and Fine-grained Visual Privacy Protection

Xiaobin Hu, Enpu Zuo, Lanping Hu +7

Privacy protection has become a critical requirement in the era of ubiquitous visual data sharing, imposing higher demands on efficient and robust privacy detection algorithms. How…

cs.SE2025★ 1 cited

Navigating the Labyrinth: Path-Sensitive Unit Test Generation with Large Language Models

Dianshu Liao, Xin Yin, Shidong Pan +3

Unit testing is essential for software quality assurance, yet writing and maintaining tests remains time-consuming and error-prone. To address this challenge, researchers have prop…