Sen Chen
Cited by
Cited by
Automated Poisoning Attacks and Defenses in Malware Detection Systems: An Adversarial Machine Learning Approach
S Chen, M Xue, L Fan, S Hao, L Xu, H Zhu, B Li
Elsevier Computers & Security, 2017
Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems
G Chen, S Chen, L Fan, X Du, Z Zhao, F Song, Y Liu
Oakland 2021, 2021
StormDroid: A Streaminglized Machine Learning-Based System for Detecting Android Malware
S Chen, M Xue, Z Tang, L Xu, H Zhu
Proceedings of the 11st ACM on Asia Conference on Computer and …, 2016
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms
Q Guo, S Chen, ...
In the Proceedings of the 34th IEEE/ACM International Conference on …, 2019
A performance-sensitive malware detection system using deep learning on mobile devices
R Feng, S Chen, X Xie, G Meng, SW Lin, Y Liu
IEEE Transactions on Information Forensics and Security 16, 1563-1578, 2020
Large-Scale Analysis of Framework-Specific Exceptions in Android Apps
L Fan, T Su, S Chen, G Meng, Y Liu, L Xu, G Pu, Z Su
Proceeding of the 40th International Conference on Software Engineering, 2018
StoryDroid: Automated Generation of Storyboard for Android Apps
S Chen, L Fan, C Chen, T Su, W Li, Y Liu, L Xu
Proceeding of the 41st International Conference on Software Engineering, 2019
ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking
S Liu, C Gao, S Chen, LY Nie, Y Liu
Atvhunter: Reliable version detection of third-party libraries for vulnerability identification in android applications
X Zhan, L Fan, S Chen, F We, T Liu, X Luo, Y Liu
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
An Empirical Assessment of Security Risks of Global Android Banking Apps
S Chen, L Fan, G Meng, T Su, M Xue, Y Xue, Y Liu, L Xu
Proceeding of the 42nd IEEE International Conference on Software Engineering, 2020
Are Mobile Banking Apps Secure? What Can Be Improved?
S Chen, T Su, L Fan, G Meng, M Xue, Y Liu, L Xu
In Proceedings of the 26th ACM Joint European Software Engineering …, 2018
An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps
M Fan, L Yuy, S Chen, H Zhou, X Luo, S Li, Y Liu, J Liu, T Liu
arXiv preprint arXiv:2008.05864, 2020
Efficiently Manifesting Asynchronous Programming Errors in Android Apps
L Fan, T Su, S Chen, G Meng, Y Liu, L Xu, G Pu
The 33rd IEEE/ACM International Conference on Automated Software Engineering …, 2018
Demystifying the vulnerability propagation and its evolution via dependency trees in the npm ecosystem
C Liu, S Chen, L Fan, B Chen, Y Liu, X Peng
Proceedings of the 44th International Conference on Software Engineering …, 2022
Why an android app is classified as malware: Towards malware classification interpretation
B Wu, S Chen, C Gao, L Fan, Y Liu, W Wen, MR Lyu
ACM Transactions on Software Engineering and Methodology (TOSEM) 30 (2), 1-29, 2021
Automated third-party library detection for android applications: Are we there yet?
X Zhan, L Fan, T Liu, S Chen, L Li, H Wang, Y Xu, X Luo, Y Liu
Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020
Why my app crashes? understanding and benchmarking framework-specific exceptions of android apps
T Su, L Fan, S Chen, Y Liu, L Xu, G Pu, Z Su
IEEE Transactions on Software Engineering 48 (4), 1115-1137, 2020
CORE: Automating Review Recommendation for Code Changes
JK Siow, C Gao, L Fan, S Chen, Y Liu
Proceeding of the 27th IEEE International Conference on Software Analysis …, 2020
GUI-Squatting Attack: Automated Generation of Android Phishing Apps
S Chen, L Fan, C Chen, M Xue, Y Liu, L Xu
IEEE Transactions on Dependable and Secure Computing (TDSC), 2019
Advanced evasion attacks and mitigations on practical ML‐based phishing website classifiers
F Song, Y Lei, S Chen, L Fan, Y Liu
International Journal of Intelligent Systems, 2021
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