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2020 – today
- 2024
[j7]Yu Zhan
, Ying Fu, Liang Huang, Jianmin Guo, Heyuan Shi, Houbing Song, Chao Hu:
Cube-Evo: A Query-Efficient Black-Box Attack on Video Classification System. IEEE Trans. Reliab. 73(2): 1160-1171 (2024)- 2023
- [j6]Binyou Wang, Jianmin Guo, Xiaofeng Liu, Yang Yu, Jianming Wu, Yiwei Wang:
Prediction of the effects of small molecules on the gut microbiome using machine learning method integrating with optimal molecular features. BMC Bioinform. 24(1): 338 (2023) - [c6]Haiyan Tian, Jianmin Guo, Shugui Kang:
SIRSM Model with Media Information Influence. ICIS 2023: 180-185 - [c5]Jianmin Guo, Caixia Guo, Shugui Kang:
Stability Analysis and H∞ Control for Singular LPV Systems with Time-Delay. ICIS 2023: 186-190 - 2022
- [j5]Jianmin Guo, Jialong Su:
Study of Multiobjective Genetic Algorithm on Taylor External Fixation. IEEE Access 10: 46986-46999 (2022) - [j4]Jianmin Guo, Quan Zhang, Yue Zhao, Heyuan Shi, Yu Jiang, Jia-Guang Sun:
RNN-Test: Towards Adversarial Testing for Recurrent Neural Network Systems. IEEE Trans. Software Eng. 48(10): 4167-4180 (2022) - 2021
- [j3]Jianmin Guo, Yue Zhao, Houbing Song, Yu Jiang:
Coverage Guided Differential Adversarial Testing of Deep Learning Systems. IEEE Trans. Netw. Sci. Eng. 8(2): 933-942 (2021) - [c4]Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao:
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing. DAC 2021: 391-396 - [c3]Quan Zhang, Yifeng Ding, Yongqiang Tian, Jianmin Guo, Min Yuan, Yu Jiang:
AdvDoor: adversarial backdoor attack of deep learning system. ISSTA 2021: 127-138 - [i4]Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao:
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing. CoRR abs/2103.08668 (2021)
2010 – 2019
- 2019
- [c2]Xiaoning Du, Bihuan Chen, Yuekang Li, Jianmin Guo, Yaqin Zhou, Yang Liu, Yu Jiang:
Leopard: identifying vulnerable code for vulnerability assessment through program metrics. ICSE 2019: 60-71 - [i3]Xiaoning Du, Bihuan Chen, Yuekang Li, Jianmin Guo, Yaqin Zhou, Yang Liu, Yu Jiang:
LEOPARD: Identifying Vulnerable Code for Vulnerability Assessment through Program Metrics. CoRR abs/1901.11479 (2019) - [i2]Jianmin Guo, Yue Zhao, Xueying Han, Yu Jiang, Jiaguang Sun:
RNN-Test: Adversarial Testing Framework for Recurrent Neural Network Systems. CoRR abs/1911.06155 (2019) - 2018
- [j2]Jianmin Guo, Shiwang Ma, Guang Zhang:
Solutions of the autonomous Kirchhoff type equations in RN. Appl. Math. Lett. 82: 14-17 (2018) - [c1]Jianmin Guo, Yu Jiang, Yue Zhao, Quan Chen, Jiaguang Sun:
DLFuzz: differential fuzzing testing of deep learning systems. ESEC/SIGSOFT FSE 2018: 739-743 - [i1]Jianmin Guo, Yu Jiang, Yue Zhao, Quan Chen, Jiaguang Sun:
DLFuzz: Differential Fuzzing Testing of Deep Learning Systems. CoRR abs/1808.09413 (2018) - 2017
- [j1]Cheng Chang, Hao Huan, Jianmin Guo, Ran Tao:
Complementary peak reducing signals for TDCS PAPR reduction. IET Commun. 11(6): 961-967 (2017)
Coauthor Index
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