140 citations · 236 across the 11 of their papers we have counts for
11 papers
Compatible Remediation on Vulnerabilities from Third-Party Libraries for Java Projects
Lyuye Zhang, Chengwei Liu, Zhengzi Xu +5
With the increasing disclosure of vulnerabilities in open-source software, software composition analysis (SCA) has been widely applied to reveal third-party libraries and the assoc…
AS2T: Arbitrary Source-To-Target Adversarial Attack on Speaker Recognition Systems
Guangke Chen, Zhe Zhao, Fu Song +3
Recent work has illuminated the vulnerability of speaker recognition systems (SRSs) against adversarial attacks, raising significant security concerns in deploying SRSs. However, t…
LiDetector: License Incompatibility Detection for Open Source Software
Sihan Xu, Ya Gao, Lingling Fan +3
Open-source software (OSS) licenses dictate the conditions which should be followed to reuse, distribute, and modify the software. Apart from widely-used licenses such as the MIT L…
Automatically Distilling Storyboard with Rich Features for Android Apps
Sen Chen, Lingling Fan, Chunyang Chen +1
Before developing a new mobile app, the development team usually endeavors painstaking efforts to review many existing apps with similar purposes. The review process is crucial in…
SEC4SR: A Security Analysis Platform for Speaker Recognition
Guangke Chen, Zhe Zhao, Fu Song +3
Adversarial attacks have been expanded to speaker recognition (SR). However, existing attacks are often assessed using different SR models, recognition tasks and datasets, and only…
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…
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…
SeqMobile: A Sequence Based Efficient Android Malware Detection System Using RNN on Mobile Devices
Ruitao Feng, Jing Qiang Lim, Sen Chen +2
With the proliferation of Android malware, the demand for an effective and efficient malware detection system is on the rise. The existing device-end learning based solutions tend…
A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices
Ruitao Feng, Sen Chen, Xiaofei Xie +3
Currently, Android malware detection is mostly performed on server side against the increasing number of malware. Powerful computing resource provides more exhaustive protection fo…
Efficiently Manifesting Asynchronous Programming Errors in Android Apps
Lingling Fan, Ting Su, Sen Chen +4
Android, the #1 mobile app framework, enforces the single-GUI-thread model, in which a single UI thread manages GUI rendering and event dispatching. Due to this model, it is vital…
Towards Efficient Data-flow Test Data Generation
Ting Su, Chengyu Zhang, Yichen Yan +5
Data-flow testing (DFT) aims to detect potential data interaction anomalies by focusing on the points at which variables receive values and the points at which these values are use…