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
1312018
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
722018
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
52*2019
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
51*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
27*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
Machine learning testing: Survey, landscapes and horizons
JM Zhang, M Harman, L Ma, Y Liu
arXiv preprint arXiv:1906.10742, 2019
182019
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
172017
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
162018
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
152019
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
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
132018
Analyzing distributed Java applications by automatic centralization
L Ma, C Artho, H Sato
2013 IEEE 37th Annual Computer Software and Applications Conference …, 2013
112013
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
102019
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
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
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
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Articles 1–20