王冬

王冬，博士，讲师。2021年获武汉大学通信与信息系统博士学位，其中2019至2021年在美国圣母大学联合培养。2021年加入杭州电子科技大学。

主要从事人工智能安全、隐私计算、联邦学习、差分隐私等相关研究工作，聚焦人工智能模型的安全及隐私泄露问题，从数据流通共享安全和模型安全可用需求出发，对人工智能模型安全、隐私的攻击及防御两方面进行研究，取得了一系列的研究成果。作为项目负责人主持国家自然科学基金1项、浙江省自然科学基金1项、高校基本科研业务费项目1项。以第一/通信作者身份在重要国际期刊IEEE TIFS，IEEE Transactions on Mobile Computing，IEEE/ACM Transactions on Computational Biology and Bioinformatics，Computers & Security，Neurocomputing发表学术论文20余篇。荣获“华为杯” 中国研究生网络安全创新大赛优秀指导教师，指导学生斩获国家级竞赛一等奖 1 项。 

武汉大学，测绘遥感信息工程国家重点实验室，通信与信息系统专业（导师：徐正全教授）

University of Notre Dame，Department of Applied and Computational Mathematics and Statistics，Privacy preserving，联合培养（导师： Prof. Fang Liu）

2021.08 - 至今，杭州电子科技大学，网络空间安全学院

近期发表的论文如下:

期刊论文：

期刊论文(第一/二、通信作者)：

[1]Rongke Liu; Dong Wang*; Yizhi Ren; Zhen Wang; Kaitian Guo; Qianqian Qin; Xiaolei Liu. Unstoppable Attack: Label-Only Model Inversion via Conditional Diffusion Model [J]. IEEE Transactions on Information Forensics and Security, 2024,1-1.(Online, DOI:10.1109/TIFS.2024.3372815)

 [2]王冬,秦倩倩,郭开天等.联邦学习中的模型逆向攻防研究综述[J/OL].通信学报,1-16[2024-01-11]http://kns.cnki.net/kcms/detail/11.2102.TN.20231207.0936.002.html.

[3] Fang Liu, Dong Wang,Tian Yan;Some examples of privacy-preserving sharing of COVID-19 pandemic data   with  statistical utility evaluation[J].BMC Medical Research Methodology 2023 (1), 1-18;

[4]  Q Wang, C Li, T Xia, Y Ren, Dong Wang, G Zhang, KKR Choo;Optimal Selfish Mining-based Denial-of-Service Attack[J].IEEE Transactions on Information Forensics and Security, 2023.

[5]  任一支; 刘容轲; 王冬*; 基于联邦学习的本地化差分隐私机制研究，电子与信息学报，2022.

[6]  Qiuhua Wang; Tianyu Xia; Wang Dong*; Yizhi Ren; Gongxun Miao; Kim-Kwang Raymond Choo; SDoS: Selfish Mining-based Denial-of-Service Attack[J]. IEEE Transactions on Information Forensics and Security, 2022,17: 3335-3349.

[7]  Liu Fang; Wang Dong; Xu Zhengquan; Privacy-preserving Travel Time Prediction with Uncertainty Using GPS Trace Data[J], IEEE Transactions on Mobile Computing, 2021, 22(1): 417-428 2021.

[8]  Wang Dong and Fang Liu. Privacy Risk and Preservation in Contact Tracing of COVID‐19. CHANCE 33.3 (2020): 49-55.

[9]Wang D, Xu Z. Impact of inaccurate data on Differential Privacy[J]. Computers & Security, 2019, 82: 68-79.

[10]Wang T, Xu Z, Wang Dong, et al. Influence of data errors on differential privacy[J]. Cluster Computing, 2019, 22(2): 2739-2746.

[11] Liu J-X，Wang Dong，Gao Y L， Chun-Hou Zheng， Yong Xu. Regularized Non-negative Matrix Factorizations for Gene Expression Analysis: a Survey[J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017.

[12] Liu J-X，Wang Dong， Gao Y L， et al. A joint-L 2,1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis[J]. Neurocomputing, 2017, 228: 263-269.

[13]   Wang Dong，Liu J X， Gao Y L， et al. Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization [J]. IEEE/ACM transactions on Computational Biology and Bioinformatics, 2016, 13(6): 1059-1067.

[14]    Wang Dong，Liu Jin-xing， Gao Ying-Lian， Yu Ji-guo， Zheng Chun-Hou， Xu Yong; An NMF-L21-norm Constraint Method for Characteristic Gene Selection[J], Plos ONE, 2016, 11(7)