关晴骁副教授

姓名：关晴骁

出生年月：1984年1月4日

当前工作单位：集美大学

邮件：[email protected]

2002年9月-2006年6月 湘潭大学自动化系

获学士学位：

2007年9月-2013年6月 中国科学技术大学自动化系 模式识别与智能系统

获博士学位

2008年9月-2013年6月 中国科学院自动化研究所 模式识别国家重点实验室 联合培养

2013年7月-2016年9月 中国科学院信息工程所 信息安全国家重点实验室 助理研究员

2016年10月-2018年10月 中国科学院信息工程所 信息安全国家重点实验室 副研究员

2018年11月-至今 集美大学 计算机工程学院 副教授

研究方向：

主要为网络媒体数据信息隐藏及其对抗、取证技术、人工智能在信息隐藏及其对抗中的应用技术

代表性的期刊和会议论文：

1.       Qingxiao Guan, Peng. Liu, W. Zhang, W. Lu and X. Zhang, "Double-Layered Dual-Syndrome Trellis Codes Utilizing Channel Knowledge for Robust Steganography," in IEEE Transactions on Information Forensics and Security, vol. 18, pp. 501-516, 2023

2.       Qingxiao Guan, Kaimen. Chen*, Hefen. Chen*, Weiming Zhang and Nenghai Yu, “Detecting steganography in jpeg images recompressed with the same quantization matrix,” in IEEE Transactions on Circuits and Systems for Video Technology, pp. 1– 1, 2022

3.       Kaimen. Chen, Qingxiao Guan*, Weiming Zhang and Nenghai Yu, "Reversible Data Hiding in Encrypted Images Based on Binary Symmetric Channel Model and Polar Code," in IEEE Transactions on Dependable and Secure Computing, early access, doi: 10.1109/TDSC.2022.3228385.

4.       Chao. Xia, Qingxiao. Guan*, Xianfeng. Zhao and Keke. Wu, "Improved JPEG Phase-Aware Steganalysis Features Using Multiple Filter Sizes and Difference Images," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 11, pp. 4100-4113, Nov. 2020

5.       Qingxiao Guan, Hefeng Chen*, Weiming Zhang, Nenghai Yu, "Improving UNIWARD distor tion function via isotropic construction and hierarchical merging," Journal of Visual Communication and Image Representation, Volume 81, 2021

6.       Zengzheng. Zhao, Qingxiao. Guan, H. Zhang and X. Zhao, "Improving the Robustness of Adaptive Steganographic Algorithms Based on Transport Channel Matching," in IEEE Transactions on Information Forensics and Security, vol. 14, no. 7, pp. 1843-1856, July 2019

Chao Xia, Qingxiao      Guan*, Xianfeng Zhao, Zhoujun Xu and Yi Ma. Improving GFR steganalysis      features by using Gabor symmetry and weighted histograms. 2017 ACM      Workshop on Information Hiding and Multimedia Security. Philadelphia,      PA, USA, June 20-22, 2017, pp.55-66

Zengzhen Zhao, Qingxiao      Guan* and Xianfeng Zhao. Constructing Near-optimal Double-layered      Syndrome-Trellis Codes for Spatial Steganography. In 4th ACM Workshop      on Information Hiding and Multimedia Security. Vigo, Spain, June      20-22, 2016.

Chao Xia, Qingxiao      Guan*, Xianfeng Zhao and Yong Deng. Accelerating the DCTR features      extraction for JPEG steganalysis based on CUDA. 2016 IS&T Electronic      Imaging, Media Watermarking, Security, and Forensics. San Francisco, CA,      USA, February 14 - 18, 2016，pp.1-6

其他SCI期刊和会议文章：

Yaqi Liu, Qingxiao      Guan and Xianfeng Zhao*. Copy-move forgery detection based on      convolutional kernel network[J]. Multimedia Tools and Applications, 2017:      1-25 (CCF-C期刊，SCI， 二作)

Yaqi Liu, Xiaoyu      Zhang*, Xiaobin Zhu, Qingxiao Guan and Xianfeng Zhao. ListNet-based      object proposals ranking[J]. Neurocomputing, 2017, 267(6):182-194. (CCF-B期刊，SCI，四作)

Sai Ma, Xianfeng      Zhao*, Qingxiao Guan, Zhoujun Xu and Yi Ma. A Priori Knowledge      Based Secure Payload Estimation. Multimedia Tools and Applications(2017). （CCF-C期刊，SCI， 三作）

Chao Xia, Qingxiao      Guan, Xianfeng Zhao and Chengduo Zhao. Highly accurate real-time image      steganalysis based on GPU. Journal of Real-Time Image Processing,      Elsevier, 2016, Publish Online (中国科学院SCI三区，二作)

5.       Hailiang Li, Qingxiao Guan*, Haidong Wang and Jing Dong. Deep-MATEM: TEM Query Image Based Cross-modal Retrieval for Material Science Literature. Multimedia Tools and Application，30269–30290 (2018).（CCF-C，SCI中国科学院院四区，二作通作）

6.       Weiquan Cao, Qingxiao Guan*, Xianfeng Zhao, Keren Wang and Jiesi Han.” Constructing local information feature for spatial image steganalysis”. Multimedia Tools and Applications, 13221–13237 (2017). https://doi.org/10.1007/s11042-016-3751-1 （CCF-C，SCI中国科学院四区，二作通作）

7.       Zhao, Z, Qingxiao Guan*. “Universal embedding strategy for batch adaptive steganography in both spatial and JPEG domain”.  Multimedia Tools and Applications, 77, 14093–14113 (2018) （CCF-C，SCI中国科学院四区，二作通作）

Sai Ma, Xianfeng      Zhao*, Qingxiao Guan and Chengduo Zhao. The A Priori Knowledge      Based Secure Payload Estimation for Additive Model. Electronic Imaging,      2017(7), 16-21.（EI会议）

Chao Xia, Qingxiao      Guan*, Xianfeng Zhao, Jing Dong and Zhoujun Xu. Improving spatial      image adaptive steganalysis incorporating the embedding impact on the      feature. 2017 IEEE International Conference on Image Processing. Beijing,      China, September 17-20, 2017 （CCF-C会议， 二作通作）

Zengzhen Zhao, Qingxiao      Guan, Xianfeng Zhao, Haibo Yu and Changjun Liu. Embedding Strategy for      Batch Adaptive Steganography. In 15th International Workshop on      Digital-forensics and Watermarking. Beijing, China, Sep 17-19, 2016 (EI会议，二作)

Xin He, Qingxiao      Guan*, Yanfei Tong, Xianfeng Zhao, Haibo Yu A Novel Robust Image      Forensics Algorithm Based on L1-Norm Estimation. IWDW 2016 (EI会议 二作通作)

Jie Zhu, Qingxiao      Guan*, and Xianfeng Zhao, Multi-class JPEG Steganalysis by Ensemble      Linear SVM Classifier IWDW 2014 (EI会议，二作通作)

Hong Zhang, Qingxiao      Guan, and Xianfeng Zhao, Steganography based on adaptive pixel-value      differencing scheme revisited IWDW 2013 Lecture Notes in Computer Science      2014. (EI会议，二作通作)

Qingxiao Guan, Dong Jing, and      Tieniu Tan. Two Notes from Experimental Study on Image Steganalysis.      ICIC2013 （EI会议）

Qingxiao Guan, Jing Dong and      Tieniu Tan, "An effective image steganalysis method based on      neighborhood information of pixels," Image Processing (ICIP), 2011      18th IEEE International Conference on , vol., no., pp.2721,2724, 11-14      Sept. 2011 （CCF-C 会议）

Qingxiao Guan, Dong Jing, and      Tieniu Tan, Blind Quantitative Steganalysis Based on Feature Fusion and      Gradient Boosting IWDW 2010, Volume 6526, pp 266-279, 2011  (EI会议)

主持的纵向项目：

1）    国家自然科学基金中国通用基础技术研究联合基金“针对在公共数据平台分享隐写数据进行隐蔽通信的隐写分析方法研究”（U1936114）， 直接经费71万2020-2022

2）    国家自然科学基金中国通用基础技术研究联合基金“面向应用环境数据的高速通用型图像隐写分析研究”（U1536105）， 直接经费64万2015-2018

主持的横向项目：

1）  中国船舶集团系统工程研究所项目 2022-2023 基于数字孪生的海洋物联网态势感知模型研究，横向课题， 经费34.5万

2）  厦门国科公司项目 数字隐蔽通信探测系统2020-2021 横向课题， 经费26万

2） 某部项目“移动端XXXXX系统” 2020-2021 横向课题， 经费50万

3） 某部项目“图像分析系统” 2019-2020 横向课题， 经费35.5万