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Lei Ma
Lei Ma
Associate Professor, The University of Tokyo, Japan & University of Alberta, Canada
Verified email at acm.org - Homepage
Title
Cited by
Cited by
Year
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
8442020
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
7072018
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
476*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
3852018
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
271*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
255*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
2102020
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
194*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
1552019
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
1552019
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
1342018
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
1242019
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
1172022
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
1132020
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
1002019
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
972020
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
932020
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
93*2020
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
932020
Grt: Program-analysis-guided random testing (t)
L Ma, C Artho, C Zhang, H Sato, J Gmeiner, R Ramler
2015 30th IEEE/ACM International Conference on Automated Software …, 2015
902015
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