张鹏 副教授

  • 办公室:汇星楼(原科技楼)1517
  • 导师类别:硕士生导师
  • E-mail:zhangp@szu.edu.cn
  • 办公电话:
个人详情

个人简介:

张鹏,博士,现任深圳大学电子于信息工程学院副教授,深圳市海外高层次人才。长期从事应用密码学、网络与信息安全方向的研究工作,近年来在密文计算、隐私保护、云计算安全等方面取得了多项研究成果,主持完成1项国家自然科学基金青年科学基金项目、1项国防预研基金项目、3项深圳市科技计划项目、1项腾讯“犀牛鸟”科研基金项目及多项企业横向项目,作为主要参与人先后参与完成多个国家科技支撑计划、国家自然科学基金、军队重大科技计划项目。在国内外有影响的期刊(如TDSC、TIFS等信息安全领域权威期刊)和国际学术会议发表相关论文60多篇,申请国家发明专利30余项,获得广东省科技进步一等奖1项。


研究兴趣:全同态加密、密文计算、隐私保护神经网络、区块链技术


教授课程:密码学与信息安全,信息安全工程,矩阵理论


招生信息:

学术型:信息与通信工程

专业型:新一代电子信息技术


近年工作:

[1]Peng Zhang, Hengrui Lu, Tianbin Ding. Homomorphic activation and argmax via bootstrapping and applications in privacy-preserving neural networks. Neurocomputing, 651, 2025. (SCI, 中科院二区)

[2]Peng Zhang, Jianzhou Ruan, Jiaquan Wei. Fair Data Trading Protocol based on Passive Proxy Re-encryption with Smart Contracts. The 8th World Conference on Computing and Communication Technologies, 2025, 199-206. (EI)

[3]Peng Zhang, Dongyan Qiu, Ao Duan, and Hongwei Liu. Efficient Homomorphic Approximation of Max Pooling for Privacy-Preserving Deep Learning, ML4CS 2024, LNCS 15566, pp. 70-80, 2025. (EI)

[4]Peng Zhang, Fa Ge, Zujie Tang and Weixin Xie. Achieving High Efficiency in Schnorr-Based Multi-Signature Applications in Blockchain. Electronics, 2025, 14, 1883. (SCI, 中科院四区)

[5]Peng Zhang, Ao Duan, and Hengrui Lu. An Efficient Homomorphic Argmax Approximation for Privacy-Preserving Neural Networks. Cryptography, 8(2), 18, 2024. (SCI, 中科院四区)

[6]Peng Zhang, Peilin Wu, Yuhong Liu, Ye Chen, Yuanliang Li, Jun Yan, and Mohsen Ghafouri. Toward a Blockchain-Based, Reputation-Aware Secure Transactive Energy Market. Blockchains, 2(1), pp. 61-78, 2024. (SCI)

[7]Peng Zhang, Jiaquan Wei, Yuhong Liu, Jianzhou Ruan, Hui Cui. Ensuring Fair Data Trading via Passive Proxy Re-encryption with Smart Contracts. International Conference on Provable Security, 2024 Sep 25, pp. 257-266. (EI)

[8]Peng Zhang, Teng Huang, Xiaoqiang Sun, Wei Zhao, Hongwei Liu, Shangqi Lai, and Joseph K. Liu. Privacy‐preserving and Outsourced Multi‐party K‐means Clustering based on Multi‐key Fully Homomorphic Encryption. IEEE Transactions on Dependable and Secure Computing, 20(3): 2348-2359, 2023. (SCI, CCF-A)

[9]Peng Zhang, Yongwen Huang, Fa Ge, Yuhong Liu. Group-Oriented Multi-Signature Supporting Monotonic Endorse Policies in Hyperledger Fabric. In Proceedings of the 6th International Conference on Blockchain. Dec. 17-21, 2023. (EI)

[10]Peng Zhang, Fengjia Mei, Zonghao Liu, Ke Xie, Yuanman Li, Yanshan Li. Aerial Target Grouping based on Sparse Subspace Clustering with the Mixed constraints of Distance and Velocity. In Proceedings of the 9th International Conference on Big Data and Information Analytics. Dec. 15-17, 2023. (EI)

[11]Xiaoqiang Sun, Peng Zhang*, Joseph K. Liu, Jianping Yu, and Weixin Xie. Private Machine Learning Classification based on Fully Homomorphic Encryption. IEEE Transactions on Emerging Topics in Computing, 8(2): 352-364, 2020. (SCI, 中科院二区)

[12]Yue Xiao, Peng Zhang*, and Yuhong Liu. Secure and Efficient Multi-signature Schemes for Fabric: an Enterprise Blockchain Platform. IEEE Transactions on Information Forensics and Security, 16: 1782-1794, 2020. (SCI, CCF-A)

[13]Xiaoqiang Sun, F. Richard Yu, Peng Zhang*, Weixin Xie, and Xiang Peng. A Survey on Secure Computation based on Homomorphic Encryption in Vehicular Ad Hoc Networks. Sensors, 20, 4253, 2020. (SCI)

[14]Zehong Chen, Fangguo Zhang, Peng Zhang, and Hanbang Zhao. Multi-user Boolean Searchable Encryption Supporting Fast Ranking in Mobile Clouds. Computer Communications, 164: 100-113, 2020. (SCI)

[15]Xiaoqiang Sun, F. Richard Yu, and Peng Zhang*. A survey on Zero-knowledge Proof in Blockchain. IEEE Network, 35(4): 198-205, 2021. (SCI, 中科院一区)


谷歌学术个人主页:

https://scholar.google.com/citations?user=5bhN9RQAAAAJ&hl=en