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万晨

发布日期:2024-03-08    作者:         点击:


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万晨 博士(中山大学)

职称/职务:讲师

研究方向:AI安全

研究领域:对抗样本攻击与防御

办公地点:东海岸校区D栋南塔519

Email:chenwan@stu.edu.cn



工作经历:

2023.12至今,讲师,汕头大学数学与计算机学院计算机系

教学课程:Python与人工智能、数据科学导论

发表的学术论文:

[1] Wan, C., Huang, F., & Zhao, X. (2023). Average gradient-based adversarial attack. IEEE Transactions on Multimedia, 25, 9572-9585. (中科院SCI一区, TOP, CCF-B)

[2] Wan, C., Ye, B., & Huang, F. (2021). PID-based approach to adversarial attacks. Proceedings of the AAAI Conference on Artificial Intelligence, 2021, 100333-10040. (CCF-A 会议)

[3] Wan, C., & Huang, F. (2024). 基于龙格库塔法的对抗攻击方法. 软件学报, 35(5), 2543-2565. (CCF-T1期刊)

[4] Li, F., Wan, C., & Huang, F. (2022). Adaptive robust watermarking method based on deep neural networks. International Workshop on Digital Watermarking, 2022, 162-173.

[5] Huang, F., & Wan, C. (2021). JPEG图像重压缩检测综述. 信号处理, 37(12), 2251-2260.

[6] Wan, C., Li, T., Zhang, W., et al. (2018). Dynamics of epidemic spreading model with drug-resistant variation on scale-free networks. Physica A, 493, 17-28.

[7] Wan, C., Li, T., & Guan, Z. (2017). Spreading dynamics of an e-commerce preferential information model on scale-free networks. Physica A, 467, 192-200.

[8] Wan, C., Li, T., & Sun, Z. (2017). Global stability of a SEIR rumor spreading model with demographics on scale-free networks. Advances in Difference Equations, 2017(253).


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