Követés
Lei Ma
Lei Ma
Associate Professor, The University of Tokyo, Japan & University of Alberta, Canada
E-mail megerősítve itt: acm.org - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
10192020
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
8122018
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
4462018
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
309*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
281*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
2602020
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
216*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
1922019
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
1882019
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
1842022
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
1662018
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
1482019
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
1452020
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
1352022
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
1302020
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
1272020
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
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
113*2020
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