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

41 citations · 43 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SI2021

A Tale of Two Countries: A Longitudinal Cross-Country Study of Mobile Users' Reactions to the COVID-19 Pandemic Through the Lens of App Popularity

Liu Wang, Haoyu Wang, Yi Wang +2

The ongoing COVID-19 pandemic has profoundly impacted people's life around the world, including how they interact with mobile technologies. In this paper, we seek to develop an und…

cs.SE20202 cited

Market-level Analysis of Government-backed COVID-19 Contact Tracing Apps

Huiyi Wang, Liu Wang, Haoyu Wang

To help curb the spread of the COVID-19 pandemic, governments and public health authorities around the world have launched a number of contact-tracing apps. Although contact tracin…

cs.SE2020

When the Open Source Community Meets COVID-19: Characterizing COVID-19 themed GitHub Repositories

Liu Wang, Ruiqing Li, Jiaxin Zhu +2

Ever since the beginning of the outbreak of the COVID-19 pandemic, researchers from interdisciplinary domains have worked together to fight against the crisis. The open source comm…

cs.CR2020

Beyond the Virus: A First Look at Coronavirus-themed Mobile Malware

Liu Wang, Ren He, Haoyu Wang +8

As the COVID-19 pandemic emerged in early 2020, a number of malicious actors have started capitalizing the topic. Although a few media reports mentioned the existence of coronaviru…

cs.CR202041 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…