1 citations · 3 across the 22 of their papers we have counts for
26 papers
Diagnosing Personalization Failures in Mobile GUI Agents
Zhixin Lin, Dongliang Xu, Jungang Li +6
Unlike conventional GUI agents, personalized GUI agents require user preferences to guide sequential execution over changing GUI states. This raises two challenges: determining HOW…
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…
LEGOUI: Designing with UI-DSL Bricks to Balance Transparency and Controllability
Yinsi Zhou, Mingyue Yuan, Hongyue Xu +8
Generative user interface design tools enable rapid prototyping but often operate as black boxes with limited transparency and controllability. When outputs diverge from the design…
Lossless Tensor Compression as Program Synthesis
Jieke Shi, Junda He, Wenjia Jiang +11
Model checkpoints are growing in both number and size, which makes archival, transfer, and deployment increasingly costly. General-purpose compressors can reduce storage requiremen…
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…
Analyzing Codes of Conduct for Online Safety in Video Games at Scale
Jiuming Jiang, Shidong Pan, Daniel W Woods +1
Online video games have become major online social spaces where users interact, compete, and create together. These spaces, however, expose users to a wide spectrum of online harms…
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…
Mobile GUI Agent Privacy Personalization with Trajectory Induced Preference Optimization
Zhixin Lin, Jungang Li, Dongliang Xu +5
Mobile GUI agents powered by Multimodal Large Language Models (MLLMs) can execute complex tasks on mobile devices. Despite this progress, most existing systems still optimize task…
Understanding User Privacy Perceptions of GenAI Smartphones
Ran Jin, Liu Wang, Shidong Pan +3
GenAI smartphones, which natively embed generative AI at the system level, are transforming mobile interactions by automating a wide range of tasks and executing UI actions on beha…
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)…
ESG Reporting Lifecycle Management with Large Language Models and AI Agents
Thong Hoang, Mykhailo Klymenko, Xiwei Xu +6
Environmental, Social, and Governance (ESG) standards have been increasingly adopted by organizations to demonstrate accountability towards ethical, social, and sustainability goal…
Robust CAPTCHA Using Audio Illusions in the Era of Large Language Models: from Evaluation to Advances
Ziqi Ding, Yunfeng Wan, Wei Song +7
CAPTCHAs are widely used by websites to block bots and spam by presenting challenges that are easy for humans but difficult for automated programs to solve. To improve accessibilit…
LLMAID: Identifying AI Capabilities in Android Apps with LLMs
Pei Liu, Terry Zhuo, Jiawei Deng +7
Recent advancements in artificial intelligence (AI) and its widespread integration into mobile software applications have received significant attention, highlighting the growing p…
A Longitudinal Measurement of Privacy Policy Evolution for Large Language Models
Zhen Tao, Shidong Pan, Zhenchang Xing +3
Large language model (LLM) services have been rapidly integrated into people's daily lives as chatbots and agentic systems. They are nourished by collecting rich streams of data, r…
Domain-constrained Synthesis of Inconsistent Key Aspects in Textual Vulnerability Descriptions
Linyi Han, Shidong Pan, Zhenchang Xing +5
Textual Vulnerability Descriptions (TVDs) are crucial for security analysts to understand and address software vulnerabilities. However, the key aspect inconsistencies in TVDs from…
When AI Takes the Wheel: Security Analysis of Framework-Constrained Program Generation
Yue Liu, Zhenchang Xing, Shidong Pan +1
In recent years, the AI wave has grown rapidly in software development. Even novice developers can now design and generate complex framework-constrained software systems based on t…
A Big Step Forward? A User-Centric Examination of iOS App Privacy Report and Enhancements
Liu Wang, Dong Wang, Shidong Pan +3
The prevalent engagement with mobile apps underscores the importance of understanding their data practices. Transparency plays a crucial role in this context, ensuring users to be…
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…
Mind the Third Eye! Benchmarking Privacy Awareness in MLLM-powered Smartphone Agents
Zhixin Lin, Jungang Li, Shidong Pan +3
Smartphones bring significant convenience to users but also enable devices to extensively record various types of personal information. Existing smartphone agents powered by Multim…
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…
Automated Knot Detection and Pairing for Wood Analysis in the Timber Industry
Guohao Lin, Shidong Pan, Rasul Khanbayov +3
Knots in wood are critical to both aesthetics and structural integrity, making their detection and pairing essential in timber processing. However, traditional manual annotation wa…