Lei Ma
TitleCited byYear
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
1242018
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
682018
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
48*2019
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
46*2019
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
402015
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
26*2019
Characterising deprecated android apis
L Li, J Gao, TF Bissyandé, L Ma, X Xia, J Klein
Proceedings of the 15th International Conference on Mining Software …, 2018
242018
Model-based API testing of apache zookeeper
C Artho, Q Gros, G Rousset, K Banzai, L Ma, T Kitamura, M Hagiya, ...
2017 IEEE International Conference on Software Testing, Verification and …, 2017
162017
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
152018
GRT: An automated test generator using orchestrated program analysis
L Ma, C Artho, C Zhang, H Sato, J Gmeiner, R Ramler
2015 30th IEEE/ACM International Conference on Automated Software …, 2015
152015
Diffchaser: Detecting disagreements for deep neural networks
X Xie, L Ma, H Wang, Y Li, Y Liu, X Li
Proceedings of the 28th International Joint Conference on Artificial …, 2019
132019
Machine learning testing: Survey, landscapes and horizons
JM Zhang, M Harman, L Ma, Y Liu
arXiv preprint arXiv:1906.10742, 2019
132019
Secure Deep Learning Engineering: A Software Quality Assurance Perspective
L Ma, F Juefei-Xu, M Xue, Q Hu, S Chen, B Li, Y Liu, J Zhao, J Yin, S See
arXiv preprint arXiv:1810.04538, 2018
122018
Analyzing distributed Java applications by automatic centralization
L Ma, C Artho, H Sato
2013 IEEE 37th Annual Computer Software and Applications Conference …, 2013
112013
GRT at the SBST 2015 tool competition
L Ma, C Artho, C Zhang, H Sato, M Hagiya, Y Tanabe, M Yamamoto
2015 IEEE/ACM 8th International Workshop on Search-Based Software Testing, 48-51, 2015
102015
Metamorphic relation based adversarial attacks on differentiable neural computer
A Chan, L Ma, F Juefei-Xu, X Xie, Y Liu, YS Ong
arXiv preprint arXiv:1809.02444, 2018
92018
Fakespotter: A simple baseline for spotting ai-synthesized fake faces
R Wang, L Ma, F Juefei-Xu, X Xie, J Wang, Y Liu
arXiv preprint arXiv:1909.06122, 2019
82019
Efficient and precise dynamic slicing for client-side javascript programs
J Ye, C Zhang, L Ma, H Yu, J Zhao
2016 IEEE 23rd International Conference on Software Analysis, Evolution, and …, 2016
82016
Incremental web application testing using page object
B Yu, L Ma, C Zhang
2015 Third IEEE Workshop on Hot Topics in Web Systems and Technologies …, 2015
82015
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
72019
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Articles 1–20