| 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 | 65 | 2016 |
| 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 | 40 | 2017 |
| 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 | 25 | 2018 |
| 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 | 10 | 2018 |
| 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 | 9 | 2018 |
| 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 | 8 | 2016 |
| 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 | 7 | 2019 |
| 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 | 7 | 2018 |
| Towards Adversarial Detection of Mobile Malware S Chen, M Xue, L Xu Proceedings of the 22nd Annual International Conference on Mobile Computing …, 2016 | 7 | 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 | 6 | 2019 |
| 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 | 4 | 2019 |
| Automated Cross-Platform GUI Code Generation for Mobile Apps S Chen, T Fan, Lingling, Su, L Ma, Y Liu, L Xu | 2 | 2019 |
| 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 | 1 | 2019 |
| Model-Based Continuous Verification L Fan, S Chen, L Xu, Z Yang, H Zhu Proceedings of the 23rd Asia-Pacific Software Engineering Conference, 2016 | 1 | 2016 |
| 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 |
Lingling FanNanyang Technological UniversityVerified email at ntu.edu.sg
