个人简介：

吴汉舟，博士，副教授，CCF-腾讯犀牛鸟基金获得者，上海市晨光学者。主要从事人工智能安全研究，发表论文100余篇，谷歌学术引用3000余次，单篇引用最高近900次，部分成果得到本领域国际知名学者以及OpenAI、Google DeepMind、Meta等知名企业研究科学家的正面评价或引述，被编入中英文专著、入选高被引论文或期刊近五年h5指数TOP 30名单。曾作为第一作者获全国信息隐藏暨多媒体安全大会优秀论文奖、中国媒体取证与安全大会最佳报告奖和优秀论文奖，以及《科学中国人》(中国科协主管)杂志专访等。主持和参与多项国家级及省部级科研项目，包括国家自然科学基金、中央引导地方、上海市自然科学基金和贵州省基础研究计划等，累计承担经费300余万。担任国际会议IEEE WIFS’22的组织主席、MMedia’22~26的指导委员会委员以及亚太信号与信息处理协会(Asia-Pacific Signal and Information Processing Association, APSIPA)的多媒体安全与取证专业技术委员会委员。担任信号处理领域重要期刊《IEEE Signal Processing Letters》的副编辑(Associate Editor)、综合性期刊《Scientific Reports》的编委(Editorial Board Member)等。

研究兴趣：

大模型安全、人工智能安全、多媒体安全、多媒体取证、多媒体信号处理等。

联系方式：

hanzhou@shu.edu.cn

教育经历：

1. 2019—至今： 上海大学 讲师、副教授(杰青团队)

2. 2017—2019： 中科院自动化所 助理研究员(院士团队)

3. 2014—2016： 新泽西理工学院 访问学者

4. 2007—2017： 西南交通大学 本科、博士

主讲课程：

1. 本科生：《程序设计(C语言)》(必修，课程组长)、《信息网络与安全》(选修，课程组长)等

2. 研究生：《矩阵理论与方法》(必修，课程组长)

指导学生：

1. 2025级研究生(在读)：易诗琪、吴文俊、邵正康

2. 2024级研究生(在读)：王逸格、赵怡然、汪云翔

3. 2023级研究生(在读)：黄超越、赵宇辰、赵一飞

4. 2022级研究生(已毕业)：林丽娜、朱伟南、史景辉

5. 2021级研究生(已毕业)：金玺

6. 2020级研究生(已毕业)：郑晓燕、柳琦云、陈诗怡

7. 2019级研究生(已毕业)：易标、王聿敏

科研项目：

1. 南宁市邕江计划，45万

2. 中央引导地方项目，300万

3. 国家自然科学基金重点项目，256万

4. 贵州省基础研究计划重点项目，20万

5. 上海市自然科学基金面上项目，20万

6. CCF-腾讯犀牛鸟基金，15万

7. 上海市晨光计划，6万

8. 国家自然科学基金青年项目，28万

学术论文：

1. G. Xu, H. Wu, Y. Shi. Structural design of convolutional neural networks for steganalysis. IEEE Signal Processing Letters, vol. 23, no. 5, pp. 708-712, 2016.

2. H. Wu, Y. Shi, H. Wang, L. Zhou. Separable reversible data hiding for encrypted palette images with color partitioning and flipping verification. IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 8, pp. 1620-1631, 2017.

3. F. Ding, H. Wu, G. Zhu, Y. Shi. METEOR: Measurable energy map toward the estimation of resampling rate via a convolutional neural network. IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 12, pp. 4715-4727, 2020.

4. Y. Chen, H. Wang, H. Wu, Z. Wu, T. Li, A. Malik. Adaptive video data hiding through cost assignment and STCs. IEEE Transactions on Dependable and Secure Computing, vol. 18, no. 3, pp. 1320-1335, 2021.

5. H. Wu, B. Yi, F. Ding, G. Feng, X. Zhang. Linguistic steganalysis with graph neural networks. IEEE Signal Processing Letters, vol. 28, pp. 558-562, 2021.

6. H. Wu, G. Liu, Y. Yao, X. Zhang. Watermarking neural networks with watermarked images. IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 7, pp. 2591-2601, 2021.

7. Z. Wang, G. Feng, H. Wu, X. Zhang. Data hiding in neural networks for multiple receivers. IEEE Computational Intelligence Magazine, vol. 16, no. 4, pp. 70-84, 2021.

8. Y. Qin, H. Wu, X. Zhang, G. Feng. Semi-supervised structured subspace learning for multi-view clustering. IEEE Transactions on Image Processing, vol. 31, pp. 1-14, 2022.

9. B. Yi, H. Wu, G. Feng, X. Zhang. ALiSa: Acrostic linguistic steganography based on BERT and Gibbs sampling. IEEE Signal Processing Letters, vol. 29, pp. 687-691, 2022.

10. L. Zhou, C. Zhang, Q. Zeng, X. Liu, H. Wu. Optimal low-hit-zone frequency-hopping sequence sets with wide-gap for FHMA systems under follower jamming. IEEE Communications Letters, vol. 26, no. 5, pp. 969-973, 2022.

11. Y. Qin, H. Wu, J. Zhao, G. Feng. Enforced block diagonal subspace clustering with closed form solution. Pattern Recognition, vol. 130, p. 108791, 2022.

12. H. Wu, C. Li, G. Liu, X. Zhang. Hiding data hiding. Pattern Recognition Letters, vol. 165, pp. 122-127, 2023.

13. L. Xiong, T. Peng, F. Li, S. Zeng, H. Wu. Privacy-preserving authentication scheme with revocability for multi-WSN in industrial IoT. IEEE Systems Journal, vol. 17, no. 1, pp. 38-49, 2023.

14. T. Qiao, Y. Ma, N. Zheng, H. Wu, Y. Chen, M. Xu, X. Luo. A novel model watermarking for protecting generative adversarial network. Computers & Security, vol. 127, p. 103102, 2023.

15. J. Wang, D. Wu, L. Li, J. Zhao, H. Wu, Y. Tang. Robust periodic blind watermarking based on sub-block mapping and block encryption. Expert Systems with Applications, vol. 224, p. 119981, 2023.

16. S. Chen, A. Malik, X. Zhang, G. Feng, H. Wu. A fast method for robust video watermarking based on Zernike moments. IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 12, pp. 7342-7353, 2023.

17. T. Yang, H. Wu, B. Yi, G. Feng, X. Zhang. Semantic-preserving linguistic steganography by pivot translation and semantic-aware bins coding. IEEE Transactions on Dependable and Secure Computing, vol. 21, no. 1, pp. 139-152, 2024.

18. Y. Liu, H. Wu, X. Zhang. Robust and imperceptible black-box DNN watermarking based on Fourier perturbation analysis and frequency sensitivity clustering. IEEE Transactions on Dependable and Secure Computing, vol. 21, no. 6, pp. 5766-5780, 2024.

19. Y. Qin, N. Pu, H. Wu. Elastic multi-view subspace clustering with pairwise and high-order correlations. IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 2, pp. 556-568, 2024.

20. Y. Qin, N. Pu, H. Wu. EDMC: Efficient multi-view clustering via cluster and instance space learning. IEEE Transactions on Multimedia, vol. 26, pp. 5273-5283, 2024.

21. Y. Qin, Z. Tang, H. Wu, G. Feng. Flexible tensor learning for multi-view clustering with Markov chain. IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 4, pp. 1552-1565, 2024.

22. X. Zhao, H. Wu, X. Zhang. Effective backdoor attack on graph neural networks in spectral domain. IEEE Internet of Things Journal, vol. 11, no. 7, pp. 12102-12114, 2024.

23. Y. Liu, L. Zhang, H. Wu, Z. Wang, X. Zhang. Reducing high-frequency artifacts for generative model watermarking via wavelet transform. IEEE Internet of Things Journal, vol. 11, no. 10, pp. 18503-18515, 2024.

24. Y. Liu, C. Li, Z. Wang, H. Wu, X. Zhang. Transferable adversarial attack based on sensitive perturbation analysis in frequency domain. Information Sciences, vol. 678, p. 120971, 2024.

25. D. Wu, J. Wang, J. Zhao, L. Li, Z. Wang, H. Wu. Adaptive robust watermarking for resisting multiple distortions in real scenes. IEEE Internet of Things Journal, vol. 11, no. 10, pp. 33229-33246, 2024.

26. L. Lin, D. Wu, J. Wang, Y. Chen, X. Zhang, H. Wu. Automatic, robust and blind video watermarking resisting camera recording. IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 12, pp. 13413-13426, 2024.

27. J. Wang, J. Zhao, L. Li, Z. Wang, H. Wu, D. Wu. Robust blind video watermarking based on ring tensor and BCH coding. IEEE Internet of Things Journal, vol. 11, no. 24, pp. 40743-40756, 2024.

28. Y. Qin, N. Pu, H. Wu, N. Sebe. Discriminative anchor learning for efficient multi-view clustering. IEEE Transactions on Multimedia, vol. 27, pp. 1386-1396, 2025.

29. Y. Qin, N. Pu, H. Wu, N. Sebe. Margin-aware noise-robust contrastive learning for partially view-aligned problem. ACM Transactions on Knowledge Discovery from Data, vol. 19, no. 1, pp. 1-20, 2025.

30. L. Xiong, J. Wang, L. Yu, N. Xiong, H. Wu. An efficient privacy-preserving access control scheme for cloud computing services. IEEE Transactions on Consumer Electronics, vol. 71, no. 2, pp. 6642-6658, 2025.