14 citations · 30 across the 4 of their papers we have counts for
8 papers
An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps
Ming Fan, Le Yu, Sen Chen +6
The purpose of the General Data Protection Regulation (GDPR) is to provide improved privacy protection. If an app controls personal data from users, it needs to be compliant with G…
Can We Trust Your Explanations? Sanity Checks for Interpreters in Android Malware Analysis
Ming Fan, Wenying Wei, Xiaofei Xie +3
With the rapid growth of Android malware, many machine learning-based malware analysis approaches are proposed to mitigate the severe phenomenon. However, such classifiers are opaq…
Why an Android App is Classified as Malware? Towards Malware Classification Interpretation
Bozhi Wu, Sen Chen, Cuiyun Gao +4
Machine learning (ML) based approach is considered as one of the most promising techniques for Android malware detection and has achieved high accuracy by leveraging commonly-used…
Automated synthesis of local time requirement for service composition
Étienne André, Tian Huat Tan, Manman Chen +4
Service composition aims at achieving a business goal by composing existing service-based applications or components. The response time of a service is crucial especially in time c…
Machine Learning Testing: Survey, Landscapes and Horizons
Jie M. Zhang, Mark Harman, Lei Ma +1
This paper provides a comprehensive survey of Machine Learning Testing (ML testing) research. It covers 144 papers on testing properties (e.g., correctness, robustness, and fairnes…
Superion: Grammar-Aware Greybox Fuzzing
Junjie Wang, Bihuan Chen, Lei Wei +1
In recent years, coverage-based greybox fuzzing has proven itself to be one of the most effective techniques for finding security bugs in practice. Particularly, American Fuzzy Lop…