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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

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5 papers · 1 filter

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.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.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…