Yaofei Wang
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王垚飞,合肥工业大学 计算机与信息学院 副教授(黄山学者学术骨干),中国图象图形学学会 数字媒体取证与安全专委会委员

博士毕业于中国科学技术大学,导师:张卫明教授和俞能海教授


本人的主要研究方向为信息隐藏与多媒体内容安全,长期从事图像隐写与隐写分析的相关研究,在IEEE TIFS、TDSC、TCSVT、S&P等信息隐藏和人工智能安全领域的顶刊、顶会录用论文10余篇。


本人在胡东辉教授课题组(合肥工业大学网络与信息安全科研团队)指导研究生,同时与中科大张卫明教授课题组有着紧密的交流与合作关系。


本人以及所在课题组有充足的研究经费,诚招对AIGC感兴趣的研究生和本科生一起来踏上AIGC的浪潮做AI安全和信息隐藏方向的研究,我们可以为你提供算力设备支持,欢迎感兴趣的同学邮件联系!

邮箱:wyf[AT]hfut[DOT]edu[DOT]cn


  1. Y. Wang, W. Zhang, W. Li, X. Yu and N. Yu, "Non-Additive Cost Functions for Color Image Steganography Based on Inter-Channel Correlations and Differences," in IEEE Transactions on Information Forensics and Security, vol. 15, pp. 2081-2095, 2020, doi: 10.1109/TIFS.2019.2956590.(CCF A,中科院SCI一区,信息安全领域顶级期刊

  2. Y. Wang, W. Zhang, W. Li and N. Yu, "Non-Additive Cost Functions for JPEG Steganography Based on Block Boundary Maintenance," in IEEE Transactions on Information Forensics and Security, vol. 16, pp. 1117-1130, 2021, doi: 10.1109/TIFS.2020.3029908.( CCF A,中科院SCI一区,信息安全领域顶级期刊

  3. Y. Wang, W. Li, W. Zhang, X. Yu, K. Liu and N. Yu, "BBC++: Enhanced Block Boundary Continuity on Defining Non-Additive Distortion for JPEG Steganography," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 5, pp. 2082-2088, May 2021, doi: 10.1109/TCSVT.2020.3010554.(CCF B,中科院SCI一区

  4. 王垚飞, 张卫明, 陈可江, 周文柏, 俞能海. 图像非加性隐写综述[J]. 网络与信息安全学报, 2021, 7(6): 1-10.(T2

  5. J. Ding, K. Chen, Y. Wang, N. Zhao, W. Zhang, and N. Yu, “Discop: Provably Secure Steganography in Practice Based on “Distribution Copies”,” accepted by the 44th IEEE Symposium on Security and Privacy, May 22-25, 2023.(CCF A,信息安全领域四大顶级学术会议之一)

  6. K. Chen, H. Zhou, Y. Wang, M. Li, W. Zhang, and N. Yu, “Cover Reproducible Steganography via Deep Generative Models,” IEEE Trans. Dependable Secure Comput., pp. 1–13, 2022.【中科院SCI一区,CCF A】

  7. J. Feng, Y. Wang, K. Chen, W. Zhang and N. Yu, "An Effective Steganalysis for Robust Steganography with Repetitive JPEG Compression," ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 3084-3088, doi: 10.1109/ICASSP43922.2022.9747061.(CCF B

  8. W. Li, K. Chen, W. Zhang, H. Zhou, Y. Wang and N. Yu, "JPEG Steganography With Estimated Side-Information," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 7, pp. 2288-2294, July 2020, doi: 10.1109/TCSVT.2019.2925118.(CCF B,中科院SCI一区

  9. Xinzhi Yu, Kejiang Chen, Yaofei Wang, Weixiang Li, Weiming Zhang, Nenghai Yu,”Robust adaptive steganography based on generalized dither modulation and expanded embedding domain,” in Signal Processing, Volume 168, 2020, 107343, ISSN 0165-1684.(CCF C,中科院SCI二区

  10. X. Wang, Y. Wang*, K. Chen, J. Ding, W. Zhang* and N. Yu, "ICStega: Image Captioning-based Semantically Controllable Linguistic Steganography," ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10095722. (CCF B

  11. 赵鑫,王垚飞,陈可江,张卫明,俞能海. 引入超分辨率下采样误差的图像边信息估计隐写, 中国图象图形学报,2022,27(1):226-237

  12. Kai Zeng, Kejiang Chen, Weiming Zhang, Yaofei Wang, Nenghai Yu,Improving robust adaptive steganography via minimizing channel errors,Signal Processing,Volume 195,2022,108498,ISSN 0165-1684,https://doi.org/10.1016/j.sigpro.2022.108498.(CCF C,中科院SCI二区

  13. Yu, X., Chen, K., Zhang, W., Wang, Y., Yu, N. (2019). Improving the Embedding Strategy for Batch Adaptive Steganography. In: Yoo, C., Shi, YQ., Kim, H., Piva, A., Kim, G. (eds) Digital Forensics and Watermarking. IWDW 2018. Lecture Notes in Computer Science(), vol 11378. Springer, Cham. https://doi.org/10.1007/978-3-030-11389-6_19





  • Educational Experience
  • Work Experience
2017-9 | 2022-6
  • 中国科学技术大学

2013-9 | 2017-6
  • 西南交通大学

  • Social Affiliations
  • Research Focus
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Associate professor
Supervisor of Master's Candidates

E-Mail:

School/Department:计算机与信息学院

Education Level:With Certificate of Graduation for Doctorate Study

Gender:Male

Degree:Doctoral Degree in Engineering

Status:Employed

Alma Mater:中国科学技术大学

Honors and Titles:

博士研究生国家奖学金  2020-12-31

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