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教师名录

王士林
教授

邮箱:wsl@sjtu.edu.cn

所在研究所:人工智能与认知安全研究所

个人简介

主要从事多媒体信息分析与处理、多媒体信息内容安全、人工智能安全等方面的研究。近年来主持多项国家自然科学基金、上海市自然科学基金等项目,获得国家发明专利若干。在研究领域相关期刊和会议论文集中发表论文100多篇,论文SCI/Google Scholar累计引用3700余次,个人h-Index为34。曾获上海市科技进步一等奖、CSIG科技进步一等奖。多次指导本科生参加全国老员工信息安全竞赛,获决赛一等奖和最具创新创业价值奖。

教育背景

2001年毕业于1946伟德国际源自英国通信工程系,获得学士学位;2004年于香港城市大学电脑工程与资讯科技系获博士学位。

工作履历

2004年入职1946伟德国际源自英国,现任公司教授,博导。

教授课程

研究生课程:《信息论与编码》

本科生课程:《人工智能导论》、《机器学习》。

论文发表

2025

1. Wang H, Lan J, Kang Y, Zhu H, Wang W, Zhang Z, Wang S. Generalizable and Adaptive Continual Learning Framework for AI-generated Image Detection[J]. IEEE Transactions on Multimedia, 2025.

2. Zhu H, Liang S, Wang W, Li B, Yuan T, Li F, Wang H, Wang S,Zhang Z. Revisiting Data Auditing in Large Vision-Language Models[C]//Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM). ACM, 2025.

3. Wang H, Fang H, Wang S, Chang E. ROAR: Reducing Inversion Error in Generative Image Watermarking[C]//In Proceedings of the IEEE/CVF      International Conference on Computer Vision (ICCV), 2025.

4. He Y, Yang L, Wang S. Enhancing visual forced alignment with local context-aware feature extraction and multi-task learning[C]//ICASSP 2025.

5. Li F, Wang S, Yang L. Rethinking the fragility and robustness of fingerprints of deep neural networks[C]//ICASSP 2025.

6. Zhang H, Li F, Wang S. Membership encoding for black-box neural network watermarking[C]//ICASSP 2025.

7. Wang H, Liu Z, Wang S. MIFAE-Forensics: Masked image-frequency autoencoder for deepfake detection[C]//ICASSP 2025.

8. Zhu H, Hu W, Liang S, Li F, Wang W, Wang S. Efficient and effective model extraction[C]//ICASSP 2025.

2024

9.  Li F, Zhao H, Du W, Wang S. Revisiting the information capacity of neural network watermarks: Upper bound estimation and beyond[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2024, 38(19).

10.He Y, Yang L, Wang S, Liew AW. Lip feature disentanglement for visual speaker authentication in natural scenes[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(10).

11.Zhu H, Liang S, Hu W, Fangqi L, Jia J, Wang S. Reliable model watermarking: Defending against theft without compromising on evasion[C]//Proceedings of the 32nd ACM International Conference on Multimedia(ACM MM), ACM 2024.

12.He Y, Yang L, Wang H, Zhu Y, Wang S. Speaker-adaptive lipreading via spatio-temporal information learning[C]//ICASSP 2024.

13.Yan C, Li F, Wang S. Data-free watermark for deep neural networks by truncated adversarial distillation[C]//ICASSP 2024.

2023

14.Yang L, Wang S, Liew A W C. Fine-grained lip image segmentation using fuzzy logic and graph reasoning[J]. IEEE Transactions on Fuzzy Systems, 2023, 32(2).

15. Li F, Wang S, Liew A W C. Linear functionality equivalence attack against deep neural network watermarks and a defense method by neuron mapping[J]. IEEE Transactions on Information Forensics and Security, 2023, 18.

16. Wang H, Liu Z, Wang S. Exploiting complementary dynamic incoherence for deepfake video detection[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(8).

17. Li F, Wang S, Zhu Y. Measure and countermeasure of the capsulation attack against backdoor-based deep neural network watermarks[C]//ICASSP 2023.