Следене
Lei Ma
Lei Ma
Associate Professor, The University of Tokyo, Japan & University of Alberta, Canada
Потвърден имейл адрес: acm.org - Начална страница
Заглавие
Позовавания
Позовавания
Година
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
10082020
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
8112018
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
4482018
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
284*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
2562020
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
1932019
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
1832019
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
1762022
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
1602018
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
1492019
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
1462019
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
1422020
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
1282020
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
1232021
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
1232020
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
1212022
Fakelocator: Robust localization of gan-based face manipulations via semantic segmentation networks with bells and whistles
Y Huang, F Juefei-Xu, R Wang, X Xie, L Ma, J Li, W Miao, Y Liu, G Pu
Elsevier Limited, 2020
111*2020
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