| Property Inference Attacks on Deep Neural Networks using Permutation Invariant Representations K Ganju, Q Wang, W Yang, CA Gunter, N Borisov ACM Conference on Computer and Communications Security, 2018 | 538* | 2018 |
| WHYPER: Towards Automating Risk Assessment of Mobile Applications. R Pandita, X Xiao, W Yang, W Enck, T Xie Proceedings of the USENIX Security Symposium, 2013., 2013 | 531 | 2013 |
| A Grey-box Approach for Automated GUI-Model Generation of Mobile Applications W Yang, MR Prasad, T Xie Proc. of International Conference on Fundamental Approaches to Software …, 2013 | 449 | 2013 |
| Appcontext: Differentiating malicious and benign mobile app behaviors using context W Yang, X Xiao, B Andow, S Li, T Xie, W Enck Proceedings of the 37th International Conference on Software Engineering …, 2015 | 335 | 2015 |
| Charting the attack surface of trigger-action IoT platforms Q Wang, P Datta, W Yang, S Liu, A Bates, CA Gunter Proceedings of the 2019 ACM SIGSAC conference on computer and communications …, 2019 | 183 | 2019 |
| Malware Detection in Adversarial Settings: Exploiting Feature Evolutions and Confusions in Android Apps W Yang, D Kong, T Xie, CA Gunter Proceedings of the 33rd Annual Computer Security Applications Conference …, 2017 | 158 | 2017 |
| Automated test input generation for android: Are we really there yet in an industrial case? X Zeng, D Li, W Zheng, F Xia, Y Deng, W Lam, W Yang, T Xie Proceedings of the 2016 24th ACM SIGSOFT International Symposium on …, 2016 | 121 | 2016 |
| Free for All! Assessing User Data Exposure to Advertising Libraries on Android S Demetriou, W Merrill, W Yang, A Zhang, CA Gunter Proc. of the 23rd Annual Network and Distributed System Security Symposium, 2016 | 119 | 2016 |
| An empirical study of android test generation tools in industrial cases W Wang, D Li, W Yang, Y Cao, Z Zhang, Y Deng, T Xie Proceedings of the 33rd ACM/IEEE International Conference on Automated …, 2018 | 111 | 2018 |
| Vulcnn: An image-inspired scalable vulnerability detection system Y Wu, D Zou, S Dou, W Yang, D Xu, H Jin Proceedings of the 44th International Conference on Software Engineering …, 2022 | 100 | 2022 |
| Automated test input generation for Android: Towards getting there in an industrial case H Zheng, D Li, B Liang, X Zeng, W Zheng, Y Deng, W Lam, W Yang, T Xie Proceedings of the 39th International Conference on Software Engineering …, 2017 | 67 | 2017 |
| SCDetector: Software functional clone detection based on semantic tokens analysis Y Wu, D Zou, S Dou, S Yang, W Yang, F Cheng, H Liang, H Jin Proceedings of the 35th IEEE/ACM international conference on automated …, 2020 | 61 | 2020 |
| Supervised learning achieves human-level performance in moba games: A case study of honor of kings D Ye, G Chen, P Zhao, F Qiu, B Yuan, W Zhang, S Chen, M Sun, X Li, S Li, ... IEEE Transactions on Neural Networks and Learning Systems 33 (3), 908-918, 2020 | 56 | 2020 |
| Malscan: Fast market-wide mobile malware scanning by social-network centrality analysis Y Wu, X Li, D Zou, W Yang, X Zhang, H Jin 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 53 | 2019 |
| An empirical analysis of UI-based flaky tests A Romano, Z Song, S Grandhi, W Yang, W Wang 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 52 | 2021 |
| IntDroid: Android malware detection based on API intimacy analysis D Zou, Y Wu, S Yang, A Chauhan, W Yang, J Zhong, S Dou, H Jin ACM Transactions on Software Engineering and Methodology (TOSEM) 30 (3), 1-32, 2021 | 42 | 2021 |
| A Large-Scale Empirical Study on Android Runtime-Permission Rationale Messages X Liu, Y Leng, W Yang, W Wang, C Zhai, T Xie Symposium on Visual Languages and Human-Centric Computing (VL/HCC)., 2018 | 39 | 2018 |
| Juewu-mc: Playing minecraft with sample-efficient hierarchical reinforcement learning Z Lin, J Li, J Shi, D Ye, Q Fu, W Yang arXiv preprint arXiv:2112.04907, 2021 | 36 | 2021 |
| Glib: towards automated test oracle for graphically-rich applications K Chen, Y Li, Y Chen, C Fan, Z Hu, W Yang Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 35 | 2021 |
| ILFO: Adversarial attack on adaptive neural networks M Haque, A Chauhan, C Liu, W Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 35 | 2020 |
Tao XiePeking University Chair Professor, Chair of Department of Software Science and Engineering@PKUVerified email at pku.edu.cn
