activity
20202026
most citedMadDroid: Characterising and Detecting Devious Ad Content for Android Apps

41 citations · 71 across the 12 of their papers we have counts for

collaborators

12 papers

cs.SE2026

Mobile App Analysis in the New Era: Challenges and the Road Ahead

Jiale Wu, Tianming Liu, Yanjie Zhao +1

Mobile applications (apps) have grown into complex, multi-platform systems that support diverse services and operate within varying regulatory and distribution contexts. Traditiona…

cs.SE2026

NotDec: WebAssembly Decompilation With Inter-Procedural Type Recovery

Jikai Wang, Ningyu He, Tianming Liu +2

With WebAssembly widely supported in browsers, containers, IoT devices, and serverless platforms and increasingly adopted as a universal low-level bytecode standard, auditing its h…

cs.CR2026

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…

cs.CR2025★ 1 cited

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents

Liangxuan Wu, Chao Wang, Tianming Liu +2

The growing adoption of large language models (LLMs) has led to a new paradigm in mobile computing--LLM-powered mobile AI agents--capable of decomposing and automating complex task…

cs.CR2024★ 1 cited

Beyond App Markets: Demystifying Underground Mobile App Distribution Via Telegram

Yanhui Guo, Dong Wang, Liu Wang +5

Within the thriving mobile app ecosystem ecosystem, a subset of apps provides illicit services such as gambling and pornography to pursue economic gains, collectively referred to a…

cs.SE2024

Same App, Different Behaviors: Uncovering Device-specific Behaviors in Android Apps

Zikan Dong, Yanjie Zhao, Tianming Liu +4

The Android ecosystem faces a notable challenge known as fragmentation, which denotes the extensive diversity within the system. This issue is mainly related to differences in syst…

cs.CR2024

WALLETRADAR: Towards Automating the Detection of Vulnerabilities in Browser-based Cryptocurrency Wallets

Pengcheng Xia, Yanhui Guo, Zhaowen Lin +8

Cryptocurrency wallets, acting as fundamental infrastructure to the blockchain ecosystem, have seen significant user growth, particularly among browser-based wallets (i.e., browser…

cs.SE2022★ 5 cited

Dataset Bias in Android Malware Detection

Yan Lin, Tianming Liu, Wei Liu +4

Researchers have proposed kinds of malware detection methods to solve the explosive mobile security threats. We argue that the experiment results are inflated due to the research b…

cs.SE2021★ 14 cited

Research on Third-Party Libraries in AndroidApps: A Taxonomy and Systematic LiteratureReview

Xian Zhan, Tianming Liu, Lingling Fan +4

Third-party libraries (TPLs) have been widely used in mobile apps, which play an essential part in the entire Android ecosystem. However, TPL is a double-edged sword. On the one ha…

cs.SE2021★ 2 cited

A Systematic Assessment on Android Third-party Library Detection Tools

Xian Zhan, Tianming Liu, Yepang Liu +4

Third-party libraries (TPLs) have become a significant part of the Android ecosystem. Developers can employ various TPLs to facilitate their app development. Unfortunately, the pop…

cs.SE2021★ 7 cited

ATVHunter: Reliable Version Detection of Third-Party Libraries for Vulnerability Identification in Android Applications

Xian Zhan, Lingling Fan, Sen Chen +4

We propose a system, named ATVHunter, which can pinpoint the precise vulnerable in-app TPL versions and provide detailed information about the vulnerabilities and TPLs. We propose…

cs.CR2020★ 41 cited

MadDroid: Characterising and Detecting Devious Ad Content for Android Apps

Tianming Liu, Haoyu Wang, Li Li +6

Advertisement drives the economy of the mobile app ecosystem. As a key component in the mobile ad business model, mobile ad content has been overlooked by the research community, w…