| Machine learning testing: Survey, landscapes and horizons JM Zhang, M Harman, L Ma, Y Liu IEEE Transactions on Software Engineering 48 (1), 1-36, 2020 | 1007 | 2020 |
| DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems L Ma, F Juefei-Xu, F Zhang, J Sun, M Xue, B Li, C Chen, T Su, L Li, Y Liu, ... https://dl.acm.org/citation.cfm?id=3238202, 2018 | 808 | 2018 |
| Deephunter: a coverage-guided fuzz testing framework for deep neural networks X Xie, L Ma, F Juefei-Xu, M Xue, H Chen, Y Liu, J Zhao, B Li, J Yin, S See Proceedings of the 28th ACM SIGSOFT international symposium on software …, 2019 | 561* | 2019 |
| DeepMutation: Mutation Testing of Deep Learning Systems L Ma, F Zhang, J Sun, M Xue, B Li, F Juefei-Xu, C Xie, L Li, Y Liu, J Zhao, ... 2018 IEEE 29th International Symposium on Software Reliability Engineering …, 2018 | 447 | 2018 |
| Fakespotter: A simple baseline for spotting ai-synthesized fake faces R Wang, L Ma, F Juefei-Xu, X Xie, J Wang, Y Liu IJCAI 2020, 2020 | 315* | 2020 |
| DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems L Ma, JX Felix, M Xue, B Li, L Li, Y Liu, J Zhao 2019 IEEE 26th International Conference on Software Analysis, Evolution and …, 2019 | 283* | 2019 |
| Deeprhythm: Exposing deepfakes with attentional visual heartbeat rhythms H Qi, Q Guo, F Juefei-Xu, X Xie, L Ma, W Feng, Y Liu, J Zhao Proceedings of the 28th ACM international conference on multimedia, 4318-4327, 2020 | 256 | 2020 |
| DeepStellar: Model-Based Quantitative Analysis of Stateful Deep Learning Systems X Du, X Xie, Y Li, L Ma, Y Liu, J Zhao The 27th ACM Joint European Software Engineering Conference and Symposium on …, 2019 | 220* | 2019 |
| Wuji: Automatic online combat game testing using evolutionary deep reinforcement learning Y Zheng, X Xie, T Su, L Ma, J Hao, Z Meng, Y Liu, R Shen, Y Chen, C Fan 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 193 | 2019 |
| An empirical study of common challenges in developing deep learning applications T Zhang, C Gao, L Ma, M Lyu, M Kim 2019 IEEE 30th International Symposium on Software Reliability Engineering …, 2019 | 183 | 2019 |
| Countering malicious deepfakes: Survey, battleground, and horizon F Juefei-Xu, R Wang, Y Huang, Q Guo, L Ma, Y Liu International journal of computer vision 130 (7), 1678-1734, 2022 | 176 | 2022 |
| Practical Fault Attack on Deep Neural Networks J Breier, X Hou, D Jap, L Ma, S Bhasin, Y Liu Conference on Computer and Communications Security (CCS’18), 2018 | 159 | 2018 |
| An empirical study towards characterizing deep learning development and deployment across different frameworks and platforms Q Guo, S Chen, X Xie, L Ma, Q Hu, H Liu, Y Liu, J Zhao, X Li 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 149 | 2019 |
| Deepmutation++: A mutation testing framework for deep learning systems Q Hu, L Ma, X Xie, B Yu, Y Liu, J Zhao 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 145 | 2019 |
| Stealthy and efficient adversarial attacks against deep reinforcement learning J Sun, T Zhang, X Xie, L Ma, Y Zheng, K Chen, Y Liu Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5883-5891, 2020 | 142 | 2020 |
| Deepsonar: Towards effective and robust detection of ai-synthesized fake voices R Wang, F Juefei-Xu, Y Huang, Q Guo, X Xie, L Ma, Y Liu Proceedings of the 28th ACM international conference on multimedia, 1207-1216, 2020 | 128 | 2020 |
| Efficientderain: Learning pixel-wise dilation filtering for high-efficiency single-image deraining Q Guo, J Sun, F Juefei-Xu, L Ma, X Xie, W Feng, Y Liu, J Zhao Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1487-1495, 2021 | 123 | 2021 |
| Generating Adversarial Examples for Holding Robustness of Source Code Processing Models H Zhang, Z Li, G Li, L Ma, Y Liu, Z Jin Proceedings of the AAAI Conference on Artificial Intelligence, 2020 | 123 | 2020 |
| An empirical study of the impact of hyperparameter tuning and model optimization on the performance properties of deep neural networks L Liao, H Li, W Shang, L Ma ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (3), 1-40, 2022 | 120 | 2022 |
| Spark: Spatial-aware online incremental attack against visual tracking Q Guo, X Xie, F Juefei-Xu, L Ma, Z Li, W Xue, W Feng, Y Liu European conference on computer vision, 202-219, 2020 | 110 | 2020 |
Yang LiuNanyang Technological UniversityVerified email at ntu.edu.sg