37 citations · 92 across the 10 of their papers we have counts for
10 papers
A First Look at On-device Models in iOS Apps
Han Hu, Yujin Huang, Qiuyuan Chen +2
Powered by the rising popularity of deep learning techniques on smartphones, on-device deep learning models are being used in vital fields like finance, social media, and driving a…
Automated Mapping of Adaptive App GUIs from Phones to TVs
Han Hu, Ruiqi Dong, John Grundy +3
With the increasing interconnection of smart devices, users often desire to adopt the same app on quite different devices for identical tasks, such as watching the same movies on b…
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems
Mingyi Zhou, Xiang Gao, Jing Wu +4
More and more edge devices and mobile apps are leveraging deep learning (DL) capabilities. Deploying such models on devices -- referred to as on-device models -- rather than as rem…
Training-free Lexical Backdoor Attacks on Language Models
Yujin Huang, Terry Yue Zhuo, Qiongkai Xu +3
Large-scale language models have achieved tremendous success across various natural language processing (NLP) applications. Nevertheless, language models are vulnerable to backdoor…
An Empirical Study on How Well Do COVID-19 Information Dashboards Service Users' Information Needs
Xinyan Li, Han Wang, Chunyang Chen +1
The ongoing COVID-19 pandemic highlights the importance of dashboards for providing critical real-time information. In order to enable people to obtain information in time and to u…
NaviDroid: A Tool for Guiding Manual Android Testing via Hint Moves
Zhe Liu, Chunyang Chen, Junjie Wang +2
Manual testing, as a complement to automated GUI testing, is the last line of defense for app quality especially in spotting usability and accessibility issues. However, the repeat…
Understanding How Older Adults Comprehend COVID-19 Interactive Visualizations via Think-Aloud Protocol
Mingming Fan, Yiwen Wang, Yuni Xie +2
Older adults have been hit disproportionally hard by the COVID-19 pandemic. One critical way for older adults to minimize the negative impact of COVID-19 and future pandemics is to…
Guided Bug Crush: Assist Manual GUI Testing of Android Apps via Hint Moves
Zhe Liu, Chunyang Chen, Junjie Wang +3
Mobile apps are indispensable for people's daily life. Complementing with automated GUI testing, manual testing is the last line of defence for app quality. However, the repeated a…
How Secondary School Girls Perceive Computational Thinking Practices through Collaborative Programming with the Micro:bit
Mojtaba Shahin, Chris Gonsalvez, Jon Whittle +3
Computational Thinking (CT) has been investigated from different perspectives. This research aims to investigate how secondary school girls perceive CT practices -- the problem-sol…
Pandemic Software Development: The Student Experiences from Developing a COVID-19 Information Dashboard
Benjamin Koh, Mojtaba Shahin, Annette Ong +4
The COVID-19 pandemic has birthed a wealth of information through many publicly accessible sources, such as news outlets and social media. However, gathering and understanding the…