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ORCIDLei Ma 0003
Person information
- affiliation: University of Alberta, Canada
- affiliation: Kyushu University, Department of Information Science and Electrical Engineering, Japan
- affiliation (former): Harbin Institute of Technology, Department of Computer Science, China
- affiliation (former): Chiba University, Department of Mathematics and Informatics, Japan
- affiliation (former): University of Tokyo, Department of Electrical Engineering, Japan
Other persons with the same name
- Lei Ma — disambiguation page
- Lei Ma 0001 — Beijing Institute of Technology, China
- Lei Ma 0002 — Arizona State University, Department of Electrical Engineering, Tempe, AZ, USA
- Lei Ma 0004
![[0000-0002-8298-3703]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8298-3703")
— University of Electronic Science and Technology of China, School of Electronic Engineering, the Intelligent Visual Information Processing and Communication Laboratory, Chengdu, China - Lei Ma 0005 — Nanjing University, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, China
- Lei Ma 0006 — University of Tokyo, Graduate School of Engineering, Japan
- Lei Ma 0007 — Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China (and 1 more)
- Lei Ma 0008 — Peking University, National Engineering Laboratory for Video Technology, Beijing, China (and 3 more)
- Lei Ma 0009 — University of Leeds, UK
- Lei Ma 0010 — Kunming University of Science and Technology, Kunming, China
- Lei Ma 0011 — Beijing Polytechnic, Beijing, China
- Lei Ma 0012 — Queen's University Belfast, Belfast, UK
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2020 – today
- 2022
[j6]Haijun Wang, Ye Liu, Yi Li, Shangwei Lin, Cyrille Artho, Lei Ma, Yang Liu:
Oracle-Supported Dynamic Exploit Generation for Smart Contracts. IEEE Trans. Dependable Secur. Comput. 19(3): 1795-1809 (2022)- [j5]Jie M. Zhang, Mark Harman, Lei Ma, Yang Liu:
Machine Learning Testing: Survey, Landscapes and Horizons. IEEE Trans. Software Eng. 48(2): 1-36 (2022) - [i40]Amin Eslami Abyane, Derui Zhu, Roberto Medeiros de Souza, Lei Ma, Hadi Hemmati:
Towards Understanding Quality Challenges of the Federated Learning: A First Look from the Lens of Robustness. CoRR abs/2201.01409 (2022) - 2021
- [c64]Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu, Jianjun Zhao:
EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining. AAAI 2021: 1487-1495 - [c63]Xiyue Zhang, Xiaoning Du, Xiaofei Xie, Lei Ma, Yang Liu, Meng Sun:
Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks. AAAI 2021: 11699-11707 - [c62]Zhenya Zhang, Deyun Lyu, Paolo Arcaini, Lei Ma, Ichiro Hasuo, Jianjun Zhao:
Effective Hybrid System Falsification Using Monte Carlo Tree Search Guided by QB-Robustness. CAV (1) 2021: 595-618 - [c61]Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao:
Learning to Adversarially Blur Visual Object Tracking. ICCV 2021: 10819-10828 - [c60]Ziyi Cheng, Xuhong Ren, Felix Juefei-Xu, Wanli Xue, Qing Guo, Lei Ma, Jianjun Zhao:
Deepmix: Online Auto Data Augmentation for Robust Visual Object Tracking. ICME 2021: 1-6 - [c59]Yan Zheng, Yi Liu, Xiaofei Xie, Yepang Liu, Lei Ma, Jianye Hao, Yang Liu:
Automatic Web Testing Using Curiosity-Driven Reinforcement Learning. ICSE 2021: 423-435 - [c58]Pengzhan Zhao, Jianjun Zhao, Lei Ma:
Identifying Bug Patterns in Quantum Programs. Q-SE@ICSE 2021: 16-21 - [c57]Maryam Vahdat Pour, Zhuo Li, Lei Ma, Hadi Hemmati:
A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding. ICST 2021: 36-46 - [c56]Shuncheng Tang, Zhenya Zhang, Jia Tang, Lei Ma, Yinxing Xue:
Issue Categorization and Analysis of an Open-Source Driving Assistant System. ISSRE Workshops 2021: 148-153 - [c55]Zhenya Zhang, Deyun Lyu, Paolo Arcaini, Lei Ma, Ichiro Hasuo, Jianjun Zhao:
On the Effectiveness of Signal Rescaling in Hybrid System Falsification. NFM 2021: 392-399 - [c54]Jiaming Ye, Ke Chen, Xiaofei Xie, Lei Ma, Ruochen Huang, Yingfeng Chen, Yinxing Xue, Jianjun Zhao:
An empirical study of GUI widget detection for industrial mobile games. ESEC/SIGSOFT FSE 2021: 1427-1437 - [e1]Shuai Wang, Xiaofei Xie, Lei Ma:
AISTA 2021: Proceedings of the 1st ACM International Workshop on AI and Software Testing/Analysis, Virtual Event, Denmark, 12 July 2021. ACM 2021, ISBN 978-1-4503-8541-1 [contents] - [i39]Maryam Vahdat Pour, Zhuo Li, Lei Ma, Hadi Hemmati:
A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding. CoRR abs/2101.07910 (2021) - [i38]Felix Juefei-Xu, Run Wang, Yihao Huang, Qing Guo, Lei Ma, Yang Liu:
Countering Malicious DeepFakes: Survey, Battleground, and Horizon. CoRR abs/2103.00218 (2021) - [i37]Yan Zheng, Yi Liu, Xiaofei Xie, Yepang Liu, Lei Ma, Jianye Hao, Yang Liu:
Automatic Web Testing using Curiosity-Driven Reinforcement Learning. CoRR abs/2103.06018 (2021) - [i36]Pengzhan Zhao, Jianjun Zhao, Lei Ma:
Identifying Bug Patterns in Quantum Programs. CoRR abs/2103.09069 (2021) - [i35]Ziyi Cheng, Xuhong Ren, Felix Juefei-Xu, Wanli Xue, Qing Guo, Lei Ma, Jianjun Zhao:
DeepMix: Online Auto Data Augmentation for Robust Visual Object Tracking. CoRR abs/2104.11585 (2021) - [i34]Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao:
Learning to Adversarially Blur Visual Object Tracking. CoRR abs/2107.12085 (2021) - [i33]Shangqing Liu, Xiaofei Xie, Lei Ma, Jing Kai Siow, Yang Liu:
GraphSearchNet: Enhancing GNNs via Capturing Global Dependency for Semantic Code Search. CoRR abs/2111.02671 (2021) - [i32]Jiayang Song, Deyun Lyu, Zhenya Zhang, Zhijie Wang, Tianyi Zhang, Lei Ma:
When Cyber-Physical Systems Meet AI: A Benchmark, an Evaluation, and a Way Forward. CoRR abs/2111.04324 (2021) - [i31]Yinxing Xue, Jiaming Ye, Wei Zhang, Jun Sun, Lei Ma, Haijun Wang, Jianjun Zhao:
Machine Learning Guided Cross-Contract Fuzzing. CoRR abs/2111.12423 (2021) - [i30]Hua Qi, Zhijie Wang, Qing Guo, Jianlang Chen, Felix Juefei-Xu, Lei Ma, Jianjun Zhao:
ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks. CoRR abs/2111.13330 (2021) - 2020
- [j4]Li Li, Jun Gao, Tegawendé F. Bissyandé, Lei Ma, Xin Xia, Jacques Klein:
CDA: Characterising Deprecated Android APIs. Empir. Softw. Eng. 25(3): 2058-2098 (2020) - [j3]Cyrille Artho, Kazuaki Banzai, Quentin Gros, Guillaume Rousset, Lei Ma, Takashi Kitamura, Masami Hagiya, Yoshinori Tanabe, Mitsuharu Yamamoto:
Model-based testing of Apache ZooKeeper: Fundamental API usage and watchers. Softw. Test. Verification Reliab. 30(7-8) (2020) - [c53]Huangzhao Zhang, Zhuo Li, Ge Li, Lei Ma, Yang Liu, Zhi Jin:
Generating Adversarial Examples for Holding Robustness of Source Code Processing Models. AAAI 2020: 1169-1176 - [c52]Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu:
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning. AAAI 2020: 5883-5891 - [c51]Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, Yang Liu:
SPARK: Spatial-Aware Online Incremental Attack Against Visual Tracking. ECCV (25) 2020: 202-219 - [c50]Xiyue Zhang, Xiaofei Xie, Lei Ma, Xiaoning Du, Qiang Hu, Yang Liu, Jianjun Zhao, Meng Sun:
Towards characterizing adversarial defects of deep learning software from the lens of uncertainty. ICSE 2020: 739-751 - [c49]Yuechen Wu, Yingfeng Chen, Xiaofei Xie, Bing Yu, Changjie Fan, Lei Ma:
Regression Testing of Massively Multiplayer Online Role-Playing Games. ICSME 2020: 692-696 - [c48]Xuhong Ren, Bing Yu, Hua Qi, Felix Juefei-Xu, Zhuo Li, Wanli Xue, Lei Ma, Jianjun Zhao:
Few-Shot Guided Mix for DNN Repairing. ICSME 2020: 717-721 - [c47]Run Wang, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yihao Huang, Jian Wang, Yang Liu:
FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces. IJCAI 2020: 3444-3451 - [c46]Xiongfei Wu, Liangyu Qin, Bing Yu, Xiaofei Xie, Lei Ma, Yinxing Xue, Yang Liu, Jianjun Zhao:
How are Deep Learning Models Similar?: An Empirical Study on Clone Analysis of Deep Learning Software. ICPC 2020: 172-183 - [c45]Xiaoning Du, Yi Li, Xiaofei Xie, Lei Ma, Yang Liu, Jianjun Zhao:
Marble: Model-based Robustness Analysis of Stateful Deep Learning Systems. ASE 2020: 423-435 - [c44]David Berend, Xiaofei Xie, Lei Ma, Lingjun Zhou, Yang Liu, Chi Xu, Jianjun Zhao:
Cats Are Not Fish: Deep Learning Testing Calls for Out-Of-Distribution Awareness. ASE 2020: 1041-1052 - [c43]Run Wang, Felix Juefei-Xu, Yihao Huang, Qing Guo, Xiaofei Xie, Lei Ma, Yang Liu:
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices. ACM Multimedia 2020: 1207-1216 - [c42]Yihao Huang, Felix Juefei-Xu, Run Wang, Qing Guo, Lei Ma, Xiaofei Xie, Jianwen Li, Weikai Miao, Yang Liu, Geguang Pu:
FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction. ACM Multimedia 2020: 1217-1226 - [c41]Run Wang, Felix Juefei-Xu, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Yang Liu:
Amora: Black-box Adversarial Morphing Attack. ACM Multimedia 2020: 1376-1385 - [c40]Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Wei Feng, Yang Liu, Jianjun Zhao:
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms. ACM Multimedia 2020: 4318-4327 - [c39]Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jian Wang, Bing Yu, Wei Feng, Yang Liu:
Watch out! Motion is Blurring the Vision of Your Deep Neural Networks. NeurIPS 2020 - [i29]Yihao Huang, Felix Juefei-Xu, Run Wang, Xiaofei Xie, Lei Ma, Jianwen Li, Weikai Miao, Yang Liu, Geguang Pu:
FakeLocator: Robust Localization of GAN-Based Face Manipulations via Semantic Segmentation Networks with Bells and Whistles. CoRR abs/2001.09598 (2020) - [i28]Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jian Wang, Wei Feng, Yang Liu:
ABBA: Saliency-Regularized Motion-Based Adversarial Blur Attack. CoRR abs/2002.03500 (2020) - [i27]Xiyue Zhang, Xiaofei Xie, Lei Ma, Xiaoning Du, Qiang Hu, Yang Liu, Jianjun Zhao, Meng Sun:
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty. CoRR abs/2004.11573 (2020) - [i26]Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu:
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning. CoRR abs/2005.07099 (2020) - [i25]Run Wang, Felix Juefei-Xu, Yihao Huang, Qing Guo, Xiaofei Xie, Lei Ma, Yang Liu:
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices. CoRR abs/2005.13770 (2020) - [i24]Yihao Huang, Felix Juefei-Xu, Run Wang, Qing Guo, Lei Ma, Xiaofei Xie, Jianwen Li, Weikai Miao, Yang Liu, Geguang Pu:
FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction. CoRR abs/2006.07533 (2020) - [i23]Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Wei Feng, Yang Liu, Jianjun Zhao:
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms. CoRR abs/2006.07634 (2020) - [i22]Renzhi Wang, Tianwei Zhang, Xiaofei Xie, Lei Ma, Cong Tian, Felix Juefei-Xu, Yang Liu:
Generating Adversarial Examples withControllable Non-transferability. CoRR abs/2007.01299 (2020) - [i21]Liming Zhai, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Lei Ma, Wei Feng, Shengchao Qin, Yang Liu:
It's Raining Cats or Dogs? Adversarial Rain Attack on DNN Perception. CoRR abs/2009.09205 (2020) - [i20]Yihao Huang, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Lei Ma, Weikai Miao, Yang Liu, Geguang Pu:
FakeRetouch: Evading DeepFakes Detection via the Guidance of Deliberate Noise. CoRR abs/2009.09213 (2020) - [i19]Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu:
EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining. CoRR abs/2009.09238 (2020) - [i18]Bing Yu, Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jianjun Zhao:
DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment. CoRR abs/2011.09884 (2020)
2010 – 2019
- 2019
- [c38]Lei Ma, Daisuke Sakamoto, Tetsuo Ono:
Desired Agent Embodiment in Various Smart House Tasks. HAI 2019: 324-326 - [c37]Ruitao Feng, Sen Chen, Xiaofei Xie, Lei Ma, Guozhu Meng, Yang Liu, Shang-Wei Lin:
MobiDroid: A Performance-Sensitive Malware Detection System on Mobile Platform. ICECCS 2019: 61-70 - [c36]Bai Xue, Yang Liu, Lei Ma, Xiyue Zhang, Meng Sun, Xiaofei Xie:
Safe Inputs Approximation for Black-Box Systems. ICECCS 2019: 180-189 - [c35]Yang Liu, Lei Ma, Jianjun Zhao:
Secure Deep Learning Engineering: A Road Towards Quality Assurance of Intelligent Systems. ICFEM 2019: 3-15 - [c34]Haijun Wang, Yi Li, Shang-Wei Lin, Lei Ma, Yang Liu:
Vultron: catching vulnerable smart contracts once and for all. ICSE (NIER) 2019: 1-4 - [c33]Xiaofei Xie, Lei Ma, Haijun Wang, Yuekang Li, Yang Liu, Xiaohong Li:
DiffChaser: Detecting Disagreements for Deep Neural Networks. IJCAI 2019: 5772-5778 - [c32]Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Minhui Xue, Hongxu Chen, Yang Liu, Jianjun Zhao, Bo Li, Jianxiong Yin, Simon See:
DeepHunter: a coverage-guided fuzz testing framework for deep neural networks. ISSTA 2019: 146-157 - [c31]Chao Xie, Hua Qi, Lei Ma, Jianjun Zhao:
DeepVisual: a visual programming tool for deep learning systems. ICPC 2019: 130-134 - [c30]Yan Zheng, Changjie Fan, Xiaofei Xie, Ting Su, Lei Ma, Jianye Hao, Zhaopeng Meng, Yang Liu, Ruimin Shen, Yingfeng Chen:
Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning. ASE 2019: 772-784 - [c29]Qianyu Guo, Sen Chen, Xiaofei Xie, Lei Ma, Qiang Hu, Hongtao Liu, Yang Liu, Jianjun Zhao, Xiaohong Li:
An Empirical Study Towards Characterizing Deep Learning Development and Deployment Across Different Frameworks and Platforms. ASE 2019: 810-822 - [c28]Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Yang Liu, Jianjun Zhao:
A Quantitative Analysis Framework for Recurrent Neural Network. ASE 2019: 1062-1065 - [c27]Qiang Hu, Lei Ma, Xiaofei Xie, Bing Yu, Yang Liu, Jianjun Zhao:
DeepMutation++: A Mutation Testing Framework for Deep Learning Systems. ASE 2019: 1158-1161 - [c26]Xiaofei Xie, Hongxu Chen, Yi Li, Lei Ma, Yang Liu, Jianjun Zhao:
Coverage-Guided Fuzzing for Feedforward Neural Networks. ASE 2019: 1162-1165 - [c25]Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Yang Liu, Jianjun Zhao:
DeepStellar: model-based quantitative analysis of stateful deep learning systems. ESEC/SIGSOFT FSE 2019: 477-487 - [c24]Yanjie Zhao, Haoyu Wang, Lei Ma, Yuxin Liu, Li Li, John Grundy:
Knowledge Graphing Git Repositories: A Preliminary Study. SANER 2019: 599-603 - [c23]Lei Ma, Felix Juefei-Xu, Minhui Xue, Bo Li, Li Li, Yang Liu, Jianjun Zhao:
DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems. SANER 2019: 614-618 - [i17]Jie M. Zhang, Mark Harman, Lei Ma, Yang Liu:
Machine Learning Testing: Survey, Landscapes and Horizons. CoRR abs/1906.10742 (2019) - [i16]Run Wang, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Jian Wang, Yang Liu:
FakeSpotter: A Simple Baseline for Spotting AI-Synthesized Fake Faces. CoRR abs/1909.06122 (2019) - [i15]Haijun Wang, Yi Li, Shang-Wei Lin, Cyrille Artho, Lei Ma, Yang Liu:
Oracle-Supported Dynamic Exploit Generation for Smart Contracts. CoRR abs/1909.06605 (2019) - [i14]Qianyu Guo, Sen Chen, Xiaofei Xie, Lei Ma, Qiang Hu, Hongtao Liu, Yang Liu, Jianjun Zhao, Xiaohong Li:
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms. CoRR abs/1909.06727 (2019) - [i13]Qing Guo, Xiaofei Xie, Lei Ma, Zhongguo Li, Wei Feng, Yang Liu:
Spatial-aware Online Adversarial Perturbations Against Visual Object Tracking. CoRR abs/1910.08681 (2019) - [i12]Run Wang, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Yihao Huang, Yang Liu:
Amora: Black-box Adversarial Morphing Attack. CoRR abs/1912.03829 (2019) - [i11]Yinxing Xue, Jiaming Ye, Mingliang Ma, Lei Ma, Yi Li, Haijun Wang, Yun Lin, Tianyong Peng, Yang Liu:
Doublade: Unknown Vulnerability Detection in Smart Contracts Via Abstract Signature Matching and Refined Detection Rules. CoRR abs/1912.04466 (2019) - [i10]Xiaolu Hou, Jakub Breier, Dirmanto Jap, Lei Ma, Shivam Bhasin, Yang Liu:
Experimental Evaluation of Deep Neural Network Resistance Against Fault Injection Attacks. IACR Cryptol. ePrint Arch. 2019: 461 (2019) - 2018
- [c22]Qiang Hu, Lei Ma, Jianjun Zhao:
DeepGraph: A PyCharm Tool for Visualizing and Understanding Deep Learning Models. APSEC 2018: 628-632 - [c21]Jakub Breier, Xiaolu Hou, Dirmanto Jap, Lei Ma, Shivam Bhasin, Yang Liu:
Practical Fault Attack on Deep Neural Networks. CCS 2018: 2204-2206 - [c20]Lei Ma, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Felix Juefei-Xu, Chao Xie, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang:
DeepMutation: Mutation Testing of Deep Learning Systems. ISSRE 2018: 100-111 - [c19]Lei Ma, Felix Juefei-Xu, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Chunyang Chen, Ting Su, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang:
DeepGauge: multi-granularity testing criteria for deep learning systems. ASE 2018: 120-131 - [c18]Li Li, Jun Gao, Tegawendé F. Bissyandé, Lei Ma, Xin Xia, Jacques Klein:
Characterising deprecated Android APIs. MSR 2018: 254-264 - [i9]Lei Ma, Felix Juefei-Xu, Jiyuan Sun, Chunyang Chen, Ting Su, Fuyuan Zhang, Minhui Xue, Bo Li, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang:
DeepGauge: Comprehensive and Multi-Granularity Testing Criteria for Gauging the Robustness of Deep Learning Systems. CoRR abs/1803.07519 (2018) - [i8]Lei Ma, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Felix Juefei-Xu, Chao Xie, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang:
DeepMutation: Mutation Testing of Deep Learning Systems. CoRR abs/1805.05206 (2018) - [i7]Jakub Breier, Xiaolu Hou, Dirmanto Jap, Lei Ma, Shivam Bhasin, Yang Liu:
Practical Fault Attack on Deep Neural Networks. CoRR abs/1806.05859 (2018) - [i6]Lei Ma, Fuyuan Zhang, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Yadong Wang:
Combinatorial Testing for Deep Learning Systems. CoRR abs/1806.07723 (2018) - [i5]Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Hongxu Chen, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See:
Coverage-Guided Fuzzing for Deep Neural Networks. CoRR abs/1809.01266 (2018) - [i4]Alvin Chan, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Yang Liu, Yew-Soon Ong:
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer. CoRR abs/1809.02444 (2018) - [i3]Lei Ma, Felix Juefei-Xu, Minhui Xue, Qiang Hu, Sen Chen, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See:
Secure Deep Learning Engineering: A Software Quality Assurance Perspective. CoRR abs/1810.04538 (2018) - [i2]Qianyu Guo, Xiaofei Xie, Lei Ma, Qiang Hu, Ruitao Feng, Li Li, Yang Liu, Jianjun Zhao, Xiaohong Li:
An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms. CoRR abs/1811.05187 (2018) - [i1]Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Jianjun Zhao, Yang Liu:
DeepCruiser: Automated Guided Testing for Stateful Deep Learning Systems. CoRR abs/1812.05339 (2018) - 2017
- [j2]Lei Ma, Cheng Zhang, Bing Yu, Hiroyuki Sato:
An empirical study on the effects of code visibility on program testability. Softw. Qual. J. 25(3): 951-978 (2017) - [c17]Lei Ma, Bing Yu, Hiroyuki Sato, Yadong Wang:
Collaborative Computation Offloading in Heterogeneous Asynchronous Cloud Environment. COMPSAC (1) 2017: 929-934 - [c16]Cyrille Artho, Quentin Gros, Guillaume Rousset, Kazuaki Banzai, Lei Ma, Takashi Kitamura, Masami Hagiya, Yoshinori Tanabe, Mitsuharu Yamamoto:
Model-Based API Testing of Apache ZooKeeper. ICST 2017: 288-298 - 2016
- [j1]Alexander Kohan, Mitsuharu Yamamoto, Cyrille Artho, Yoriyuki Yamagata, Lei Ma, Masami Hagiya, Yoshinori Tanabe:
Java Pathfinder on Android Devices. ACM SIGSOFT Softw. Eng. Notes 41(6): 1-5 (2016) - [c15]Lei Ma, Cheng Zhang, Bing Yu, Jianjun Zhao:
Retrofitting automatic testing through library tests reusing. ICPC 2016: 1-4 - [c14]Yoriyuki Yamagata, Cyrille Artho, Masami Hagiya, Jun Inoue, Lei Ma, Yoshinori Tanabe, Mitsuharu Yamamoto:
Runtime Monitoring for Concurrent Systems. RV 2016: 386-403 - [c13]Lei Ma, Cyrille Valentin Artho, Cheng Zhang, Hiroyuki Sato, Johannes Gmeiner, Rudolf Ramler:
Guiding random test generation with program analysis. Software Engineering 2016: 15-16 - [c12]Cyrille Artho, Lei Ma:
Classification of Randomly Generated Test Cases. VST@SANER 2016: 29-32 - [c11]Jiabin Ye, Cheng Zhang, Lei Ma, Haibo Yu, Jianjun Zhao:
Efficient and Precise Dynamic Slicing for Client-Side JavaScript Programs. SANER 2016: 449-459 - 2015
- [c10]Bing Yu, Lei Ma, Cheng Zhang:
Incremental Web Application Testing Using Page Object. HotWeb 2015: 1-6 - [c9]Lei Ma, Cyrille Artho, Cheng Zhang, Hiroyuki Sato, Masami Hagiya, Yoshinori Tanabe, Mitsuharu Yamamoto:
GRT at the SBST 2015 Tool Competition. SBST@ICSE 2015: 48-51 - [c8]Lei Ma, Cheng Zhang, Bing Yu, Hiroyuki Sato:
An Empirical Study on Effects of Code Visibility on Code Coverage of Software Testing. AST@ICSE 2015: 80-84 - [c7]Lei Ma, Cyrille Artho, Cheng Zhang, Hiroyuki Sato, Johannes Gmeiner, Rudolf Ramler:
GRT: Program-Analysis-Guided Random Testing (T). ASE 2015: 212-223 - [c6]Lei Ma, Cyrille Artho, Cheng Zhang, Hiroyuki Sato, Johannes Gmeiner, Rudolf Ramler:
GRT: An Automated Test Generator Using Orchestrated Program Analysis. ASE 2015: 842-847 - 2014
- [c5]Lei Ma, Cyrille Artho, Cheng Zhang, Hiroyuki Sato:
Efficient testing of software product lines via centralization (short paper). GPCE 2014: 49-52 - [c4]Lei Ma, Cyrille Artho, Hiroyuki Sato:
Project centralization based on graph coloring. SAC 2014: 1086-1093 - 2013
- [c3]Lei Ma, Cyrille Artho, Hiroyuki Sato:
Analyzing Distributed Java Applications by Automatic Centralization. COMPSAC Workshops 2013: 691-696 - [c2]Kentaro Ishii, Haipeng Mi, Lei Ma, Natsuda Laokulrat, Masahiko Inami, Takeo Igarashi:
Pebbles: User-Configurable Device Network for Robot Navigation. INTERACT (2) 2013: 420-436 - 2012
- [c1]Haipeng Mi, Kentaro Ishii, Lei Ma, Natsuda Laokulrat, Masahiko Inami, Takeo Igarashi:
Pebbles: an interactive configuration tool for indoor robot navigation. UIST (Adjunct Volume) 2012: 11-12
Coauthor Index
Cyrille Artho
aka: Cyrille Valentin Artho
aka: Cyrille Valentin Artho