個人簡介：

張鵬，博士，現(xiàn)任深圳大學(xué)電子于信息工程學(xué)院副教授，深圳市海外高層次人才。長期從事應(yīng)用密碼學(xué)、網(wǎng)絡(luò)與信息安全方向的研究工作，近年來在密文計算、隱私保護、云計算安全等方面取得了多項研究成果，主持完成1項國家自然科學(xué)基金青年科學(xué)基金項目、1項國防預(yù)研基金項目、3項深圳市科技計劃項目、1項騰訊“犀牛鳥”科研基金項目及多項企業(yè)橫向項目，作為主要參與人先后參與完成多個國家科技支撐計劃、國家自然科學(xué)基金、軍隊重大科技計劃項目。在國內(nèi)外有影響的期刊（如TDSC、TIFS等信息安全領(lǐng)域權(quán)威期刊）和國際學(xué)術(shù)會議發(fā)表相關(guān)論文60多篇，申請國家發(fā)明專利30余項，獲得廣東省科技進步一等獎1項。

研究興趣：全同態(tài)加密、密文計算、隱私保護神經(jīng)網(wǎng)絡(luò)、區(qū)塊鏈技術(shù)

教授課程：密碼學(xué)與信息安全，信息安全工程，矩陣?yán)碚?/span>

招生信息：

學(xué)術(shù)型：信息與通信工程

專業(yè)型：新一代電子信息技術(shù)

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, 中科院二區(qū))

[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, 中科院四區(qū))

[5]Peng Zhang, Ao Duan, and Hengrui Lu. An Efficient Homomorphic Argmax Approximation for Privacy-Preserving Neural Networks. Cryptography, 8(2), 18, 2024. (SCI, 中科院四區(qū))

[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, 中科院二區(qū))

[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, 中科院一區(qū))

谷歌學(xué)術(shù)個人主頁：

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