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    王垚飞

    • 副教授 博士生导师 硕士生导师
    • 教师拼音名称:Wang Yaofei
    • 所在单位:计算机与信息学院
    • 办公地点:安徽省合肥市蜀山区丹霞路485号合肥工业大学翡翠湖校区翡翠科教楼
    • 联系方式:wyf@hfut.edu.cn
    • 学位:工学博士学位
    • 在职信息:在职
    • 毕业院校:中国科学技术大学 网络空间安全学院

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    个人简介

    王垚飞,副教授,博士生导师。博士毕业于中国科学技术大学网络空间安全学院,师从俞能海教授和张卫明教授,在USENIX Sec、NDSS、S&P、IEEE TIFS、TDSC、ICML等信息安全和人工智能安全领域的顶级期刊和会议发表三十余篇论文。


    研究方向

    聚焦于人工智能安全,主要从事大模型安全、多媒体内容安全及生成式AI防伪研究。我们致力于探索AI时代的新型信息隐藏技术与防御体系,确保智能系统的可靠性与安全性。


    招生和培养

    课题组长期与中国科学技术大学张卫明教授课题组、安全技术公司和科研院所保持紧密的交流与合作关系。

    诚邀2027级推免生及本科生加入!欢迎发送简历联系:wyf@hfut.edu.cn


    课题组推崇“早进组、早选题”。我们鼓励学生在研一、研二潜心科研,夯实基础研三阶段,学生可根据个人规划,自由选择实习、就业或继续深造


    本课题组对学生的要求如下: 1)诚实守信、热爱祖国;2)熟练运用AI工具构建"人机协同"的学习和工作范式;3)具备较强的自驱力和主动探索精神。


    项目

    1、国家自然科学基金青年基金,彩色图像隐写非对称失真设计与鲁棒性增强方法研究,主持,2024年1月-2026年12月,在研

    2、基础加强重点项目子课题,XX理论构造研究,主持,2023年6月-2026年5月,在研


    课题组学生成员

    2026级:郑裕丰【博士】、蔡宇航【博士】、邓思雨、张阿康

    2025级:郭金阳、唐晓戈、王锐、王鑫辰

    2024级:王心茹、郑裕丰、柯晨读,联合指导:曹文钊

    2023级:庞威龙(安徽省优秀毕业生)、石子悦、联合指导:荣先进【博士】、蔡宇航

    2022级:联合指导:潘超【博士】

    2021级:联合指导:彭银银【博士】、裴刚、汤允金

    2020级:联合指导:张雨


    本科生竞赛及大创工作

    2024年,省级大创:《“追Gen溯源”——基于水印技术的大语言模型生成文本溯源系统》(2022级本科生:余奕俊、黄煜文、韩佳良、王磊、兰奕程)

    2023年,省级大创:《基于水印嵌入的大型语言模型检测系统》(结题优秀)(2021级本科生:汪超、张飞龙、杜述超、廖国仲、彭德帅)

    2023年,第五届全国高校计算机能力挑战赛:人工智能挑战赛全国决赛(国家级一等奖),嵌入式系统挑战赛全国决赛(国家级一等奖),“优秀指导老师”,嵌入式系统挑战赛区域赛(省级二等奖),程序设计挑战赛区域赛(省级二等奖),人工智能挑战赛区域赛(省级三等奖)(2021级本科生:汪超、王超凡、赵彦博)

    2023年,全国大学生信息安全竞赛省赛:信息安全作品竞赛(省级一等奖),网络攻防赛(省级二等奖)(2021级本科生:汪超、张飞龙、杜述超、牛政翰、王杜涛)

    恭喜2025届本科生汪超同学获得中国科学技术大学网络空间安全学院研究生offer!


    代表性论文

    1. Yaofei Wang, Weilong Pang, Kejiang Chen, Jinyang Ding, Donghui Hu*, Weiming Zhang*, Nenghai Yu. "Breaking the Generative Steganography Trilemma: ANStega for Optimal Capacity, Efficiency, and Security," Network and Distributed System Security (NDSS) Symposium 2026 CCF A,信息安全领域四大顶级学术会议之一)

    2. Li Yiming, Chen Kejiang, Wang Yaofei, Wang Guanjie, Zhang Weiming, Yu Nenghai, "CoAS: Composite Audio Steganography Based on Text and Speech Synthesis," IEEE Transactions on Information Forensics and Security, 2025.( CCF A,中科院SCI一区,信息安全领域顶级期刊

    3. Zexin Fan, Kejiang Chen, Yaofei Wang, Weiming Zhang, Nenghai Yu, "GIANT: Generated Image Adversarial Steganography Based on Narrowed Targeting", IEEE Transactions on Circuits and Systems for Video Technology, 2025. (中科院SCI一区)

    4. Wang Y, Pei G, Chen K, et al. SparSamp: Efficient Provably Secure Steganography Based on Sparse Sampling[C]//34th USENIX Security Symposium, USENIX Security 2025, Seattle, WA, USA, 2025.(CCF A,信息安全领域四大顶级学术会议之一,相关报道:https://mp.weixin.qq.com/s/AlcisLxvln9V0A8bdlBVeQ

    5. Chao Pan, Donghui Hu*, Yaofei Wang*, Kejiang Chen, Yinyin Peng, Xianjin Rong, Chen Gu, Meng Li, "Rethinking Prefix-based Steganography for Enhanced Security and Efficiency," IEEE Transactions on Information Forensics and Security, 2025.( CCF A,中科院SCI一区,信息安全领域顶级期刊

    6. Chao Wang, Kejiang Chen, Zijin Yang, Yaofei Wang, Weiming Zhang, "AEDR: Training-Free AI-Generated Image Attribution via Autoencoder Double-Reconstruction", AAAI 2026 Oral (CCF A)

    7. Y. Peng, Y. Wang*, D. Hu*, K. Chen, X. Rong, and W. Zhang, “LDStega: Practical and Robust Generative Image Steganography based on Latent Diffusion Models,” presented at the ACM Multimedia 2024, Jul. 2024. Accessed: Sep. 08, 2024. [Online]. Available: https://openreview.net/forum?id=kEqGgMgIluCCF A,相关报道:https://mp.weixin.qq.com/s/9YWILSAhKt4IBgbVtyj50w

    8. Q. Huang, C. Gu*, Y. Wang*, and D. Hu, “SpotAttack: Covering Spots on Surface to Attack LiDAR Based Autonomous Driving Systems,” IEEE Internet of Things Journal, pp. 1–1, 2024, doi: 10.1109/JIOT.2024.3452694.(中科院SCI一区,相关报道:https://mp.weixin.qq.com/s/Q7RAykFgjTLJvgHbq3_A8A

    9. Y. Peng, D. Hu*, Y. Wang*, K. Chen, G. Pei, and W. Zhang, “StegaDDPM: Generative Image Steganography based on Denoising Diffusion Probabilistic Model,” in Proceedings of the 31st ACM International Conference on Multimedia, in MM ’23. New York, NY, USA: Association for Computing Machinery, Oct. 2023, pp. 7143–7151. doi: 10.1145/3581783.3612514.(CCF A,相关报道:https://mp.weixin.qq.com/s/cb3mYwApwng1qjl5CksxXA

    10. Y. Wang, W. Zhang, W. Li, and N. Yu, “Non-Additive Cost Functions for JPEG Steganography Based on Block Boundary Maintenance,” 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

    11. 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,” 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

    12. 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,” IEEE Transactions on Circuits and Systems for Video Technology, pp. 1–1, 2020, doi: 10.1109/TCSVT.2020.3010554.(中科院SCI一区)

    13. Y. Peng, D. Hu*, G. Pei, and Y. Wang*, “Image Steganography with Deep Orthogonal Fusion of Multi-Scale Channel Attention,” in ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2024, pp. 4850–4854. doi: 10.1109/ICASSP48485.2024.10446373.(CCF B

    14. X. Cheng, Y. Wang*, C. Liu, D. Hu*, and Z. Su, “HiFi-GANw: Watermarked Speech Synthesis Via Fine-Tuning of HiFi-GAN,” IEEE Signal Processing Letters, pp. 1–5, 2024, doi: 10.1109/LSP.2024.3456673.(中科院SCI二区)

    15. 王垚飞,张卫明,陈可江*,周文柏,俞能海, “图像非加性隐写综述,” 网络与信息安全学报, vol. 7, no. 6, pp. 1–10, Dec. 2021, doi: 10.11959/j.issn.2096-109x.2021102.

    16. J. Ding, K. Chen, Y. Wang, N. Zhao, W. Zhang, and N. Yu, “Discop: Provably Secure Steganography in Practice Based on ‘Distribution Copies,’” presented at the 2023 IEEE Symposium on Security and Privacy (SP), IEEE Computer Society, May 2023, pp. 2238–2255. doi: 10.1109/SP46215.2023.00155.(CCF A,信息安全领域四大顶级学术会议之一

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

    18. J. Feng, Y. Wang, K. Chen, W. Zhang, and N. Yu, “An Effective Steganalysis for Robust Steganography with Repetitive JPEG Compression,” in 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

    19. K. Chen, H. Zhou, Y. Wang, M. Li, W. Zhang, and N. Yu, “Cover Reproducible Steganography via Deep Generative Models,” IEEE Transactions on Dependable and Secure Computing, pp. 1–13, 2022, doi: 10.1109/TDSC.2022.3217569.(中科院SCI一区)

    20. K. Zeng, K. Chen, W. Zhang, and Y. Wang, “Upward Robust Steganography Based on Overflow Alleviation,” IEEE Transactions on Multimedia, vol. 26, pp. 299–312, 2024, doi: 10.1109/TMM.2023.3264628.( 中科院SCI一区

    21. K. Zeng, K. Chen, W. Zhang, Y. Wang, and N. Yu, “Robust Steganography for High Quality Images,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 9, pp. 4893–4906, Sep. 2023, doi: 10.1109/TCSVT.2023.3250750.(中科院SCI一区)

    22. Z. Su, M. Li, G. Zhang, Q. Wu, and Y. Wang, “Robust audio copy-move forgery detection on short forged slices using sliding window,” Journal of Information Security and Applications, vol. 75, p. 103507, Jun. 2023, doi: 10.1016/j.jisa.2023.103507.(中科院二区)

    23. X. Yu, K. Chen, Y. Wang, W. Li, W. Zhang, and N. Yu, “Robust adaptive steganography based on generalized dither modulation and expanded embedding domain,” Signal Processing, vol. 168, p. 107343, Mar. 2020, doi: 10.1016/j.sigpro.2019.107343.(中科院二区)

    24. K. Zeng, K. Chen, W. Zhang, Y. Wang, and N. Yu, “Improving Robust Adaptive Steganography via Minimizing Channel Errors,” Signal Processing, p. 108498, Feb. 2022, doi: 10.1016/j.sigpro.2022.108498.(中科院二区)

    25. W. Li, K. Chen, W. Zhang, H. Zhou, Y. Wang, and N. Yu, “JPEG Steganography with Estimated Side-information,” IEEE Transactions on Circuits and Systems for Video Technology, pp. 1–1, 2019, doi: 10.1109/TCSVT.2019.2925118.(中科院SCI一区)

    26. X. Yu, K. Chen, W. Zhang, Y. Wang, and N. Yu, “Improving the Embedding Strategy for Batch Adaptive Steganography,” in Digital Forensics and Watermarking, C. D. Yoo, Y.-Q. Shi, H. J. Kim, A. Piva, and G. Kim, Eds., in Lecture Notes in Computer Science. Cham: Springer International Publishing, 2019, pp. 248–260. doi: 10.1007/978-3-030-11389-6_19.



    教育经历

    [1] 2017.9 -- 2022.6
    中国科学技术大学

    [2] 2013.9 -- 2017.6
    西南交通大学