制服诱惑

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教师名录

制服诱惑 师资队伍 / 教师名录 / 计算机 / 正文

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姓名:董理      职称: 副教授
联系方式: [email protected]
研究方向: 多媒体内容安全与取证、人工智能安全

近五年主要科研成果:

一、学术论文:

[1] Li Dong*, Weipeng Liang, Rangding Wang, “Robust Text Image Tampering Localization via Forgery Traces Enhancement and Multiscale Attention”, IEEE Transactions on Consumer Electronics (T-CE), vol. 70, no. 1, pp. 3495-3507, Feb. 2024.

[2] Li Dong*, Jiantao Zhou, Weiwei Sun, Diqun Yan, Rangding Wang, “First Steps Toward Concealing the Traces Left by Reversible Image Data Hiding”, IEEE Transactions on Circuits and Systems II: Express Briefs (T-CAS II), vol. 67, no. 5, pp. 951-955, May 2020.

[3] Li Dong*, Jiale Chen, Chengbin Peng, Yuanman Li, Weiwei Sun, “Watermark-preserving Keypoint Enhancement for Screen-Shooting Resilient Watermarking”, IEEE International Conference on Multimedia & Expo (ICME), July 18-22, 2022, Taipei, Taiwan. Oral Presentation (Top 15% Paper).

[4] Li Dong*, Jie Wang, Rangding Wang, Yuanman Li, Weiwei Sun, “Towards Image Data Hiding via Facial Stego Synthesis with Generative Model”. International Joint Conference on Artificial Intelligence - International Workshop on Safety & Security of Deep Learning (IJCAI -Workshop), August 21-26, 2021. Oral.

[5] Yuanman Li, Liangpei Hu, Li Dong*, Haiwei Wu, Jinyu Tian, Jiantao Zhou, Xia Li, “Transformer-Based Image Inpainting Detection via Label Decoupling and Constrained Adversarial Training”, IEEE Transactions on Circuits and System for Video Technology (T-CSVT), vol. 34, no. 3, pp. 1857 – 1872, Mar. 2024.

[6] Wenying Wen, Minghui Huang, Li Dong*, Yushu Zhang, Yuming Fang, “Multiscale Feature-guided Adversarial Examples Quality Assessment via Hierarchical Perception of Human Visual System”, IEEE Transactions on Big Data (T-BD), In Press, Nov. 2024.

[7] Jiacheng Deng, Li Dong*, Jiahao Chen, Diqun Yan, Rangding Wang, Dengpan Ye*, Lingchen Zhao, Jinyu Tian, “Universal Defensive Underpainting Patch: Making Your Text Invisible to Optical Character Recognition”, ACM Multimedia (ACM MM), pp. 7559-7568, 20 Oct. – 3 Nov. 2023.

[8] Jiacheng Deng, Li Dong*, Rangding Wang, Rui Yang, Diqun Yan, "Decision-Based Attack to Speaker Recognition System via Local Low-Frequency Perturbation," IEEE Signal Processing Letters (SPL), vol. 29, pp. 1432-1436, June 2022. (CCF-C)

[9] Jiale Chen, Li Dong*, Rangding Wang, Diqun Yan, Chengbin Peng, "Mixed-Bit Sampling Graphic: When Watermarking Meets Copy Detection Pattern," IEEE Signal Processing Letters, vol. 31, pp. 286-290, Jan. 2024.

[10] Yuanman Li, Yingjie He, Changsheng Chen, Li Dong, Bin Li, Jiantao Zhou, Xia Li, “Image Copy-Move Forgery Detection via Deep PatchMatch and Pairwise Ranking Learning”, IEEE Transactions on Image Processing (T-IP), vol. 34, pp. 425 - 440, Oct. 2024.

二、项目课题:

[1] 2020/01-2022/12, 局部自适应多通道图像噪声快速估计及应用研究,国家自然科学基金青年项目 (61901237)

[2] 2021/12-2022/9,物理不可复制的二维码防伪水印设计与实现,阿里巴巴创新研究计划

[3] 2023/03-2024/04,对抗环境下的鲁棒图像水印攻防研究,阿里巴巴创新研究计划

[4] 2025/01-2026/1, 面向AIGC溯源证真的大容量数字水印技术,CCF-华为胡杨林基金-可信计算领域专项(CCF-HuaweiTC202411)

[5] 2024/06-2026/05, 面向文档图像内容保护的稳健对抗水印研究,宁波市自然科学基金-一般项目(2024J210)

[6] 2023/01-2025/12, 面向实体二维码防伪的半鲁棒水印研究,浙江省自然科学基金-探索一般项目(LY23F020011)

[7] 2020/01-2020/12, 基于条件生成对抗网络的真实图像去噪研究,浙江大学CAD&CG国家重点实验室开放课题 (A2006)

[8] 2022/09-2025/08, 面向复杂真实场景的图像篡改检测与定位,宁波市自然科学基金-青年博士创新研究项目(2022J080)

[9] 2022/06-2022/09,昇腾处理器环境中基于AI框架开发AI模型,华为技术有限公司

[10] 2022/09-2022/11,昇腾众智CANN PyTorch训练模型,华为技术有限公司

三、获奖情况:

1. 2023年,教育部-华为智能基座“栋梁之师”

2. 2022年,教育部-华为智能基座产教融合协同育人基地奖教

3. 2023年,第二十届中国研究生数学建模竞赛“先进个人

4. 2022年,浙江省计算机应用与教育学会第二十五、二十六届年会优秀论文

5. 2022年,制服诱惑 -校级优秀班主任

6. 2020年,制服诱惑 -乐歌创新奖励基金教师创新

7. 2020年,制服诱惑 -校级优秀班主任