- 2012～2016 法国特鲁瓦技术大学（University of Technology of Troyes）,系统优化与可靠性博士（受国家留学生基金委CSC资助UT-INSA 项目，国家公派博士研究生）
- 2009～2012 上海大学,通信与信息系统,硕士
- 2005～2009 解放军信息工程大学,电子信息工程,学士
科研项目:
- 2019～2021，多分类特性的数字图像来源取证方法研究，浙江省基础公益研究计划，主持
- 2018～2020，RAW格式图像来源取证技术研究，国家自然科学基金青年项目，主持
人才项目：
- 首批“浙江省高校领军人才培养计划”-青年优秀人才
研究成果：
[J] T. Qiao, S. Wang, X. Luo, Z. Zhu, Robust Steganography Resisting JPEG Compression By Improving Selection of Cover Element, Signal Processing, 2021, 183: 108048.
[J] Y. Du. T. Qiao（共同一作）, M. Xu, N. Zheng, Towards Face Presentation Attack Detection Based on Residual Color Texture Representation, Security and Communication Networks, 2021, 1-16.
[J] T. Qiao, X. Luo, T. Wu, M. Xu，and Z. Qian, Adaptive steganalysis based on statistical model of quantized DCT coefficients for JPEG images, IEEE Transactions on Dependable and Secure Computing, 2019, 1-16. DOI: 10.1109/TDSC.2019.2962672.
[J] T. Qiao, R. Shi, X. Luo, M. Xu, N. Zheng, and Y. Wu, Statistical model-based detector via texture weight map: application in re-sampling authentication, IEEE Transactions on Multimedia, 2018, 21 (5): 1077-1092.
[J]Y. Zhao, N. Zheng, T. Qiao（通讯作者）, and M. Xu, Source camera identification via low dimensional PRNU features, Multimedia Tools and Applications, 2019, 78 (7), 8247-8269.
[J]Z. Zhu, N. Zheng, T. Qiao（通讯作者）, and M. Xu, Robust Steganography by Modifying Sign of DCT Coefficients, IEEE Access, 2019, 7, 168613-168628.
[J]Q. Liu, T. Qiao, M. Xu, and N. Zheng, Fuzzy localization of steganographic flipped bits via modification map, IEEE Access, 2019, 7, 74157-74167.
[J] M. Huang, M. Xu, T. Qiao（通讯作者）, T. Wu, and N. Zheng, Designing statistical model-based discriminator for identifying computer-generated graphics from natural images, Journal of Universal Computer Science, 2019, 25 (9), 1151-1173.
[J] T. Qiao, F. Retraint, Identifying individual camera device from raw images, IEEE Access, 2018, 6, 78038-78054.
[J] H. Yao, T. Qiao, M. Xu, and N. Zheng, Robust multi-classifier for camera model identification based on convolution neural network, IEEE Access, 2018, 6, 24973-24982.
[J] Y. Wang, N. Zheng, M. Xu, T. Qiao（通讯作者）, Q. Zhang, F. Yan, and J. Xu, Hierarchical identifier: application to user privacy eavesdropping on mobile payment app, Sensors, 2019, 19 (14), 3052.
[C] F. Yan, M. Xu, T. Qiao（通讯作者）, T. Wu, X. Yang, N. Zheng, and K. K. R. Choo, Identifying wechat red packets and fund transfers via analyzing encrypted network traffic, 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (TrustCom), 2018, 1426-1432.
[J] T. Qiao, F. Retraint, R. Cogranne, and T. H. Thai, Individual Camera Device Identification from JPEG Images, Signal Processing: Image Communication, 2017, 52, 74-86.
[J] T. Qiao, A. Zhu, and F. Retraint, Exposing Image Resampling Forgery by Using Linear Parametric Model, Multimedia Tools and Applications., 2018, 77 (2), 1501-1523.
[J] T. Qiao, F. Retraint, R. Cogranne, and C. Zitzmann, Steganalysis of JSteg algorithm using hypothesis testing theory, EURASIP Journal on Information Security, vol. 2015, no. 1, pp. 1-16, 2015.
[C] T. Qiao, F. Retraint, R. Cogranne, and T. H. Thai, Source camera device identification based on RAW images, in IEEE International Conference on Image Processing (ICIP), pp. 3812-3816, Sep. 2015.
[C] T. Qiao，C. Zitzmann, F. Retraint, and R. Cogranne, Statistical detection of Jsteg steganography using hypothesis testing theory, in IEEE International Conference on Image Processing (ICIP), pp. 5617-5521, Oct. 2014.
[C] T. Qiao, C. Zitzmann, R. Cogranne, and F. Retraint, Detection of Jsteg algorithm using hypothesis testing theory and a statistical model with nuisance parameters, in 2nd ACM workshop on Information hiding and multimedia security (IH&MMSEC), pp. 3-13, Jun. 2014.
[C] T. Qiao, F. Retraint, and R. Cogranne, Image authentication by statistical analysis, in 21st European Signal Processing Conference (EUSIPCO), pp. 1-5, Sep. 2013.
[J] Z. Qian, T. Qiao, Simplified anti-forensics of JPEG compression, Journal of Computers, vol. 8, no. 10, pp. 2483-2488, Jan. 2013.
[J] 乔通, 钱振兴, 张新鹏, 王文文, 基于局部能量方差特性的数字图像取证, 模式识别与人工智能, vol. 25, no. 2, pp. 280-284, Jun. 2012.
联系邮箱：tong.qiao(at)hdu(dot)edu(dot)cn