张新鹏
职称：教授、博导、国家****科学基金获得者
邮件：zhangxinpeng@fudan.edu.cn
地址：新金博大厦 1102 室
学位：2004，通信与信息系统，上海大学
研究领域：多媒体信息安全、AI 安全、图像处理
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国家****科学基金获得者，并入选上海市优秀学术带头人、上海市曙光人才计划、上海市 “****” 跟踪计划、上海市浦江人才计划、上海市 “青年科技启明星” 跟踪计划。曾赴美国纽约州立大学宾汉顿分校访问一年，受德国洪堡基金会资助作为资深研究员赴德国康斯坦茨大学访问 14 个月。主持国家自然科学基金重点项目、国家 863 计划等科研项目 40 余项。发表论文 200 余篇，被引 10000 余次，2014 年—2018 年连续五年入选中国高被引****（Most Cited Chinese Researchers）榜单。申请发明专利 20 余项，授权 11 项。获上海市自然科学奖二等奖（第一完成人）、中国电子学会自然科学奖二等奖（第二完成人）、国家级教学成果奖（参与）。曾担任 IEEE Trans. on Information Forensics and Security（IEEE T-IFS）等国际学术期刊的 Associate Editor、ACM IH&MMSec 等国际学术会议的 TPC Chair。
【近期科研项目】
2020～2023，社交网络虚拟用户塑造及其信息隐藏研究，国家自然科学基金通用技术基础研究联合基金重点项目，主持
2017～2020，新型信息隐藏的基础理论与关键技术研究，国家自然科学基金通用技术基础研究联合基金重点项目，主持
2016～2020，多媒体信息隐藏，国家****科学基金，主持
2016～2019，云数据安全处理，上海市优秀学术带头人计划，主持
【近期论文】
Li, X. Zhang, Z. Qian, G. Feng, and Y. Ren, Key Based Artificial Fingerprint Generation for Privacy Protection, IEEE Trans. on Dependable and Secure Computing, (to appear)
Feng, X. Zhang, Y. Ren, Z. Qian, and F. Li, Diversity-based Cascade Filters for JPEG Steganalysis, IEEE Trans. on Circuits and Systems for Video Technology, (to appear)
Zhu, S. Li, X. Zhang, L. Liang, A. Kot, and F. Li, Detection of Spoofing Medium Contours for Face Anti-spoofing, IEEE Trans. on Circuits and Systems for Video Technology, (to appear)
Ren, X. Zhang, G. Feng, Z. Qian, and F. Li, How to Extract Image Features Based on Co-occurrence Matrix Securely and Efficiently in Cloud Computing, IEEE Trans. on Cloud Computing, (to appear)
Ren, M. Dong, Z. Qian, X. Zhang, and G. Feng, Efficient Algorithm for Secure Outsourcing of Modular Exponentiation with Single Server, IEEE Trans. on Cloud Computing, (to appear)
Wang, X. Zhang, and Z. Qian, Practical Cover Selection for Steganography, IEEE Signal Processing Letters, (to appear)
Shi, Z. Wang, Z. Qian, N. Huang, and X. Zhang, Distortion Function for Emoji Image Steganography, Computers, Materials & Continua, (to appear)
Ren, X. Zhang, D. Gu, and G. Feng, Efficient Outsourced Extraction of Histogram Features over Encrypted Images in Cloud, SCIENCE CHINA Information Sciences, (to appear)
Qiu, Z. Qian, H. Zeng, X. Lin, and X. Zhang, Reversible Data Hiding in Encrypted Images Using Adaptive Reversible Integer Transformation, Signal Processing, 167, 2020.
Li, and X. Zhang, Towards Construction Based Data Hiding: From Secrets to Fingerprint Images, IEEE Trans. on Image Processing, 28(3), pp. 1482-1497, 2019.
Tao, S. Li, X. Zhang, and Z. Wang, Towards Robust Image Steganography, IEEE Trans. on Circuits and Systems for Video Technology, 29(2), pp. 594-600, 2019.
Qian, H. Xu, X. Luo, and X. Zhang, New Framework of Reversible Data Hiding in Encrypted JPEG Bitstreams, IEEE Trans. on Circuits and Systems for Video Technology, 29(2), pp. 351-362, 2019.
Qin, Q. Zhou, F. Cao, J. Dong, and X. Zhang, Flexible Lossy Compression for Selective Encrypted Image with Image Inpainting, IEEE Trans. on Circuits and Systems for Video Technology, 29(11), pp. 3341-3355, 2019.
Ni, G. Feng, L. Shen, and X. Zhang, Selective Ensemble Classification of Image Steganalysis via Deep Q Network, IEEE Signal Processing Letters, 26(7), pp. 1065-1069, 2019.
Ying, Z. Qian, X. Zhang, and D. Ye, Reversible Data Hiding with Image Enhancement using Histogram Shifting, IEEE Access, 7, pp. 46506-46521, 2019.
Wang, and X. Zhang, Secure Cover Selection for Steganography, IEEE Access, 7, pp. 57857-57867, 2019.
Wang, S. Li, and X. Zhang, Towards Improved Steganalysis: When Cover Selection Is Used in Steganography, IEEE Access, 7, pp. 168914-168921, 2019.
Qin, X. Qian, W. Hong, and X. Zhang, An Efficient Coding Scheme for Reversible Data Hiding in Encrypted Image with Redundancy Transfer, Information Sciences, 487, pp. 176-192, 2019.
Jia, Z. Yin, X. Zhang, and Y. Luo, Reversible Data Hiding Based on Reducing Invalid Shifting of Pixels in Histogram Shifting, Signal Processing, 163, pp. 238-246, 2019.
Liang, X. Zhang, and H. Cheng, Huffman-Code Based Retrieval for Encrypted JPEG Images, Journal of Visual Communication and Image Representation, 61, pp. 149-156, 2019.
Du, W. Zhang, H. Fu, W. Ren, and X. Zhang, An Efficient Privacy Protection Scheme for Data Security in Video Surveillance, Journal of Visual Communication and Image Representation, 59, pp. 347-362, 2019.
Zhong, Z. Qian, Z. Wang, and X. Zhang, Steganography in Stylized Images, Journal of Electronic Imaging, 28(3), 033005, 2019.
Zeng, G. Feng, and X. Zhang, Detection of Double JPEG Compression Using Modified Dense Net Model, Multimedia Tools and Applications, 78(7), pp. 8183-8196, 2019.
Liu, Z.Wang, Z.Qian, X.Zhang, and G.Feng, Steganography in Beautified Images, Mathematical Biosciences and Engineering, 16(4), pp. 2322-2333,2019.
Shi, Z. Wang, Z. Qian, N. Huang, P. Puteaux, and X. Zhang, Distortion Function for Emoji Image Steganography, Computers, Materials & Continua, 59(3), pp. 943-953, 2019.
Qian,Z.Wang,X.Zhang,and G.Feng,Breaking Steganography: Slight Modification with Distortion Minimization, InternationalJournalofDigitalCrimeandForensics,11(1), pp. 114-125, 2019.
Wang, Z. Yin, and X. Zhang, Asymmetric Distortion Function for JPEG Steganography Using Block Artifact Compensation, InternationalJournalofDigitalCrime and Forensics, 11(1), pp. 90-99, 2019.
Wang, J. Ni, X. Zhang, and Q. Huang, Efficient Compression of Encrypted Binary Images Using the Markov Random Field, IEEE Trans. on Information Forensics & Security, 13(5), pp. 1271-1285, 2018.
Qian, H. Zhou, X. Zhang, and W. Zhang, Separable Reversible Data Hiding in Encrypted JPEG Bitstreams, IEEE Trans. on Dependable and Secure Computing, 15(6), pp. 1055-1067, 2018.
Wang, X. Zhang, and Z. Yin, Joint Cover-Selection and Payload-Allocation by Steganographic Distortion Optimization, IEEE Signal Processing Letters, 25(10), pp. 1530-1534, 2018.
Li, K. Wu, X. Zhang, J. Lei, and M. Wen, Robust Batch Steganography in Social Networks With Non-Uniform Payload and Data Decomposition, IEEE Access, 6, pp. 29912-29925, 2018.
Wang, Z. Qian, X. Zhang, M. Yang, and D. Ye, On Improving Distortion Functions for JPEG Steganography, IEEE Access, 6, pp. 74917-74930, 2018.
Qiu, H. He, Z. Qian, S. Li, and X. Zhang, Lossless Data Hiding in JPEG Bitstream Using Alternative Embedding, Journal of Visual Communication and Image Representation, 52, pp. 86-91, 2018.
Qin,X. Chen,X. Luo,X. Zhang, and X. Sun,Perceptual Image Hashing via Dual-cross Pattern Encoding and Salient Structure Detection, Information Sciences, 423, pp. 284-302, 2018.
Qin,W. Zhang,F. Cao,X. Zhang, and C.-C. Chang, Separable Reversible Data Hiding in Encrypted Images via Adaptive Embedding Strategy with Block Selection, Signal Processing, 153, pp. 109-122, 2018.
Yao, C. Qin, Z. Tang, and X. Zhang, A General Framework for Shiftable Position-Based Dual-image Reversible Data Hiding, EURASIP Journal on Image and Video Processing, 41, pp. 1-10, 2018.
Qian, L. Pan, N. Huang, and X. Zhang, Constructive Steganography by Tangles, KSII Transactions on Internet and Information Systems, 12(8), pp. 3911-3925, 2018.
Qian,N.Huang,S.Li,andX.Zhang,ConstructiveSteganographyUsingTextureSynthesis,IETETechnicalReview, 35(Sup. 1), pp. 14-22, 2018.
Li, X. Chen, Z. Wang, Z.Qian, andX.Zhang, Data Hiding in Iris Image for Privacy Protection, IETE Technical Review, 35(Sup. 1), pp. 34-41, 2018.
Wang, Z. Yin, and X. Zhang, Distortion Function for JPEG Steganography Based on Image-Texture and Correlation in DCT Domain, IETE Technical Review, 35(4), pp. 351-358, 2018.
Wei, Z. Yin, Z. Wang, and X. Zhang, Distortion Function Based on Residual Blocks for JPEG Steganography, Multimedia Tools and Applications, 77(14), pp. 17875-17888, 2018.
Lv, S. Li, and X. Zhang, A Novel Auxiliary Data Construction Scheme for Reversible Data Hiding in JPEG Images, Multimedia Tools and Applications, 77(14), pp. 18029-18041, 2018.
Yin, X. Niu, X. Zhang, J. Tang, and B. Luo, Reversible data hiding in encrypted AMBTC images, Multimedia Tools and Applications, 77(14), pp. 18067-18083, 2018.
Liang, X. Zhang, H. Cheng, and Q. Wei, Secure and Efficient Image Retrieval over Encrypted Cloud Data, Security and Communication Networks, vol. 2018, Article ID **, 14 pages, 2018.
Li, K, Wu, X. Zhang, J. Lei, and M. Wen, Multi-Source Stego Detection with Low-Dimensional Textural Feature and Clustering Ensembles, Symmetry, 10(5), 128, 2018.