个人简介：

郑海斌，男，中共党员，博士，现任浙江工业大学网络空间安全研究院讲师，主要从事人工智能安全、大数据挖掘、计算机视觉图像处理、对抗攻防方向研究，在IEEE TDSC、ICSE 2022、IEEE TCSS、Information Sciences、Computers &Security、计算机研究与发展、软件学报、自动化学报等国内外重要会议和期刊上发表论文20余篇，其中包括以第一作者发表9篇（CCF-A类论文3篇、CCF-B类论文2篇、SCI二区论文3篇、CCF-A类中文1篇），授权专利10项，受理专利20余项，同时担任IEEE TCSS、IEEE TNSE等期刊的审稿人。主持陆军工程大学渗透测试项目，参与国家基金面上项目、装备预研项目、省基金等。

工作/教育经历：

2022年9月-至今，浙江工业大学，网络空间安全研究院，讲师

2017年9月-2022年6月，浙江工业大学，博士，导师：陈晋音

2019年11月-2020年2月，新加坡国立大学 (NExT++ Lab)，访问学者，导师：蔡达成

2013年9月-2017年6月，浙江工业大学，学士

科研成果

一作论文

Haibin Zheng, Jinyin Chen, Hang Du, Weipeng Zhu, Shouling Ji, and Xuhong Zhang*. GRIP-GAN: An Attack-Free Defense based on General Robust Inverse Perturbation[J]. IEEE Transactions on Dependable and Secure Computing, 2022: 19 (6), 4204-4224. (CCF-A期刊)

https://ieeexplore.ieee.org/abstract/document/9599477

Haibin Zheng, Zhiqing Chen, Tianyu Du, Xuhong Zhang, Yao Cheng, Shouling Ji, Jingyi Wang and Jinyin Chen*. NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification[C]. In Proceedings of the 44th International Conference on Software Engineering (ICSE '22). Association for Computing Machinery, New York, NY, USA, 1519–1531. (CCF-A会议)

https://dl.acm.org/doi/abs/10.1145/3510003.3510123

Haibin Zheng, Jinyin Chen, Haibo Jin. CertPri: Certifiable Prioritization for Deep Neural Networks via Movement Cost in Feature Space[C], IEEE/ACM International Conference on Automated Software Engineering (ASE) 2023. (CCF-A会议)

Haibin Zheng, Xiaohao Li, Jinyin Chen, Jianfeng Dong, Yan Zhang, Changting Lin*. One4All: Manipulate One Agent to Poison the Cooperative Multi-Agent Reinforcement Learning[J]. Computers & Security, 2023: 124, 1-15. (SCI 2区, CCF-B)

https://www.sciencedirect.com/science/article/pii/S0167404822003972

Haibin Zheng, Jinyin Chen, Wenchang Shangguan, Zhaoyan Ming, Xing Yang, Zhijun Yang. GONE: A Generic O(1) NoisE Layer for Protecting Privacy of Deep Neural Networks[J]. Computers & Security, 2023. (SCI 2区, CCF-B, IF: 5.105)

Haibin Zheng, Haiyang Xiong, Haonan Ma, Guohan Huang, Jinyin Chen*. Link-Backdoor: Backdoor Attack on Link Prediction via Node Injection [J]. IEEE Transactions on Computational Social Systems, 2023. (SCI 2区)

Haibin Zheng, Haiyang Xiong, Jinyin Chen*, Haonan Ma, Guohan Huang. Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs [J]. IEEE Transactions on Computational Social Systems, 2023. (SCI 2区)

Haibin Zheng, Tao Liu, Rongchang Li and Jinyin Chen*. PoE: Poisoning Enhancement Through Label Smoothing in Federated Learning [J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2023 (SCI 2区)

郑海斌,陈晋音,章燕,张旭鸿,葛春鹏,刘哲,欧阳亦可,纪守领*. 面向自然语言处理的对抗攻防与鲁棒性分析综述[J]. 计算机研究与发展, 2021, 58(8): 1727-1750. DOI: 10.7544/issn1000-1239.2021.20210304.（CCF-A中文）

通讯作者论文

Jinyin Chen, Jie Ge, Haibin Zheng*. ActGraph: Prioritization of Test Cases Based on Deep Neural Network Activation Graph[J], Automated Software Engineering, 2023. (SCI)

Jinyin Chen, Guohan Huang, Haibin Zheng*, Shanqing Yu, Wenrong Jiang and Chen Cui. Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning[J]. IEEE Transactions on Computational Social Systems (TCSS), 2022. (SCI)

Jinyin Chen, Guohan Huang, Haibin Zheng*, Dunjie Zhang, Xiang Lin. Graphfool: Targeted Label Adversarial Attack on Graph Embedding[J]. IEEE Transactions on Computational Social Systems (TCSS), 2022. (SCI)

李荣昌,刘涛,郑海斌*,陈晋音,刘振广,基于最大最小策略的纵向联邦学习隐私保护方法,自动化学报,2022 (CCF-A中文EI）

博士期间论文

Jinyin Chen, Haibin Zheng, Wenchang Shangguan, Liangying Liu, Shouling Ji. ACT-Detector: Adaptive Channel Transformation-based Light-Weighted Detector for Adversarial Attacks[J]. Information Sciences (INS), 2021, 564: 163-192. DOI: 10.1016/j.ins.2021.01.035 (SCI 1区, TOP期刊, IF: 8.233)（导师一作）

Jinyin Chen, Haibin Zheng, Hui Xiong, Shijing Shen, Mengmeng Su. MAG-GAN: Massive Attack Generator via GAN[J]. Information Sciences (INS), 2020, 536: 67-90. DOI: 10.1016/j.ins.2020.04.019. (SCI 1区, TOP期刊, IF: 8.233)（导师一作）

Jinyin Chen, Haibin Zheng, Hui Xiong, Ruoxi Chen, Tianyu Du, Zhen Hong, Shouling Ji. FineFool: A Novel DNN Object Contour Attack on Image Recognition based on the Attention Perturbation Adversarial Technique [J]. Computers & Security (COSE), 2021, 104: 102220. DOI: 10.1016/j.cose.2021.102220. (SCI 2区, CCF-B, IF: 4.573)（导师一作）

Jinyin Chen, Haibin Zheng, Ruoxi Chen, Hui Xiong. RCA-SOC: A Novel Adversarial Defense by Refocusing on Critical Areas and Strengthening Object Contours[J]. Computers & Security (COSE), 2020, 96: 101916. DOI: 10.1016/j.cose.2020.101916. (SCI 2区, CCF-B, IF: 5.105)（导师一作）

Jinyin Chen, Haibin Zheng, Hui Xiong, Yangyang Wu, Xiang Lin, Shiyan Ying, Qi Xuan. DGEPN-GCEN2V: A New Framework for Mining GGI and Its Application in Biomarker Detection[J]. SCIENCE CHINA Information Sciences (SCIS), 2019, 61: 050108. DOI: 10.1007/s11432-018-9704-7. (SCI 2区, CCF-B, IF: 2.731)（导师一作）

Jinyin Chen, Haibin Zheng, Xiang Lin, Yangyang Wu, Mengmeng Su. A Novel Image Segmentation Method Based on Fast Density Clustering Algorithm[J]. Engineering Applications of Artificial Intelligence (EAAI), 2018, 73: 92-110. DOI: 10.1016/j.engappai.2018.04.023. (SCI 2区, CCF-C, IF: 3.640)（导师一作）

Jinyin Chen, Haibin Zheng, Mengmeng Su, Tianyu Du, Changting Lin, Shouling Ji. Invisible Poisoning: Highly Stealthy Targeted Poisoning Attack[C]. Proceedings of the 15th International Conference on Information Security and Cryptology (Inscrypt 2019). Springer, Cham, 2019: 173-198. (EI: 20202208719133) (最佳论文)（导师一作）

授权专利

陈晋音，郑海斌，等. 基于灰度峰值的裂缝位置查找方法. ZL 201610115242.4

陈晋音，郑海斌，等. 一种基于快速密度聚类算法的图像分割方法. ZL 201610887803.2

陈晋音，郑海斌，等. 基于深度学习和进化计算的特征基因选择方法. ZL 201711336535.6

陈晋音，郑海斌，等. 基于可视图算法的基因表达时序数据分类方法. ZL 201810386434.8

陈晋音，郑海斌，等. 基于流形学习与闭环深度卷积双网络模型的基因特征提取方法. ZL 201710355356.0

陈晋音，郑海斌，等. 基于对抗式生成网络的深度学习对抗性攻击防御方法. ZL 201810141210.0

陈晋音，郑海斌，等. 基于数据流聚类的癌症亚型精准发现与演化分析方法. ZL 201710355340.X

陈晋音，郑海斌，等. 基于RNN的基因调控网络构建与动态差异性分析方法. ZL 201710355357.5

陈晋音，郑海斌，等. 一种基于LSTM的分级式无线信号调制类型识别方法. ZL 201910089087.7

陈晋音，郑海斌，等. 一种基于特征重映射的对抗样本防御方法和应用. ZL 202010115357.X

陈晋音，成凯回，郑海斌. 基于通道检测的面向无线信号识别的对抗攻击防御方法与装置. ZL 201911031922.8

联系邮箱：haibinzheng320@gmail.com