Sen Chen
TitleCited byYear
StormDroid: A Streaminglized Machine Learning-Based System for Detecting Android Malware
S Chen, M Xue, Z Tang, L Xu, H Zhu
Proceedings of the 11th ACM on Asia Conference on Computer and …, 2016
652016
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
402017
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
252018
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
13*2018
Secure Deep Learning Engineering: A Software Quality Assurance Perspective
L Ma, F Juefei-Xu, M Xue, Q Hu, S Chen, B Li, Y Liu, J Zhao, J Yin, S See
arXiv preprint arXiv:1810.04538, 2018
102018
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
92018
Accuracy vs. Time Cost: Detecting Android Malware through Pareto Ensemble Pruning
L Fan, M Xue, S Chen, L Xu, H Zhu
Proceedings of the 2016 ACM SIGSAC conference on computer and communications …, 2016
82016
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 41th International Conference on Software Engineering, 2019
72019
AUSERA: Large-Scale Automated Security Risk Assessment of Global Mobile Banking Apps
S Chen, G Meng, T Su, L Fan, M Xue, Y Xue, Y Liu, L Xu
arXiv preprint arXiv:1805.05236, 2018
72018
Towards Adversarial Detection of Mobile Malware
S Chen, M Xue, L Xu
Proceedings of the 22nd Annual International Conference on Mobile Computing …, 2016
72016
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
62019
A Large-Scale Empirical Study on Industrial Fake Apps
C Tang, S Chen, L Fan, L Xu, Y Liu, Z Tang, L Dou
Proceeding of the 41th International Conference on Software Engineering, 2019
42019
Automated Cross-Platform GUI Code Generation for Mobile Apps
S Chen, T Fan, Lingling, Su, L Ma, Y Liu, L Xu
22019
How can we craft large-scale Android malware? An automated poisoning attack
S Chen, M Xue, L Fan, L Ma, Y Liu, L Xu
2019 IEEE 1st International Workshop on Artificial Intelligence for Mobile …, 2019
12019
Model-Based Continuous Verification
L Fan, S Chen, L Xu, Z Yang, H Zhu
Proceedings of the 23rd Asia-Pacific Software Engineering Conference, 2016
12016
Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems
G Chen, S Chen, L Fan, X Du, Z Zhao, F Song, Y Liu
arXiv preprint arXiv:1911.01840, 2019
2019
MobiDroid: A Performance-Sensitive Malware Detection System on Mobile Platform
R Feng, S Chen, X Xie, L Ma, G Meng, S Lin, Y Liu
In Proceedings of the 24th International Conference on Engineering of …, 2019
2019
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 42th IEEE International Conference on Software Engineering, 2019
2019
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 …, 2019
2019
ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking
S Liu, C Gao, S Chen, LY Nie, Y Liu
2019
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Articles 1–20