Lei Ma
Lei Ma
Associate Professor, Kyushu University
Verified email at ait.kyushu-u.ac.jp - Homepage
Title
Cited by
Cited by
Year
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
1582018
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
862018
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
66*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
62*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
422015
Machine learning testing: Survey, landscapes and horizons
JM Zhang, M Harman, L Ma, Y Liu
IEEE Transactions on Software Engineering, 2020
362020
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
33*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
262018
Deeplaser: Practical fault attack on deep neural networks
J Breier, X Hou, D Jap, L Ma, S Bhasin, Y Liu
arXiv preprint arXiv:1806.05859, 2018
222018
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, 2020
182020
DiffChaser: Detecting Disagreements for Deep Neural Networks.
X Xie, L Ma, H Wang, Y Li, Y Liu, X Li
IJCAI, 5772-5778, 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
182017
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
172018
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
162015
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
142018
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
122015
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
112019
Vultron: catching vulnerable smart contracts once and for all
H Wang, Y Li, SW Lin, L Ma, Y Liu
2019 IEEE/ACM 41st International Conference on Software Engineering: New …, 2019
112019
Analyzing distributed Java applications by automatic centralization
L Ma, C Artho, H Sato
2013 IEEE 37th Annual Computer Software and Applications Conference …, 2013
112013
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
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