1 citations · 1 across the 8 of their papers we have counts for
10 papers
AuthScribe: Supporting Agency and Authorship in LLM-Assisted Reflective Journaling
Lanping Hu, Yinsi Zhou, Zhenchang Xing +2
Large language models are increasingly used in reflective journaling, where articulating an experience is part of interpreting it. This raises questions about how writers retain au…
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…
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…
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…
The Creation and Analysis of Government AI Transparency Statements in Australia
Shidong Pan, Haochen Gong, Boming Xia +3
Governments increasingly deploy AI in public services, making transparency essential for accountability and public trust. Australia's Standard for AI Transparency Statements (AITS)…
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…
A First Look at Privacy Risks of Android Task-executable Voice Assistant Applications
Shidong Pan, Yikai Ge, Xiaoyu Sun
With the development of foundation AI technologies, task-executable voice assistants (VAs) have become more popular, enhancing user convenience and expanding device functionality.…
Towards Context-aware Mobile Privacy Notice: Implementation of A Deployable Contextual Privacy Policies Generator
Haochen Gong, Zhen Tao, Shidong Pan +2
Lengthy and legally phrased privacy policies impede users' understanding of how mobile applications collect and process personal data. Prior work proposed Contextual Privacy Polici…
Deployability-Centric Infrastructure-as-Code Generation: Fail, Learn, Refine, and Succeed through LLM-Empowered DevOps Simulation
Tianyi Zhang, Shidong Pan, Zejun Zhang +2
Infrastructure-as-Code (IaC) generation holds significant promise for automating cloud infrastructure provisioning. Recent advances in Large Language Models (LLMs) present a promis…
Privacy Bills of Materials: A Transparent Privacy Information Inventory for Collaborative Privacy Notice Generation in Mobile App Development
Zhen Tao, Shidong Pan, Zhenchang Xing +5
Privacy regulations mandate that developers must provide authentic and comprehensive privacy notices, e.g., privacy policies or labels, to inform users of their apps' privacy pract…