关于我
我是朱志颖，2023年6月毕业于 复旦大学MAS实验室，师从张新鹏教授和钱振兴教授。研究方向包括：信息内容安全（隐写/水印）、人工智能安全、AI4Science、AI4Engineering等。
教育经历
- 博士: 复旦大学（Fudan University）， 计算机科学技术学院，2019-2023
- 硕士: 上海大学（Shanghai University）， 机电工程及自动化学院，2016-2019
- 学士: 河海大学（Hohai University）， 机电工程学院，2012-2016
论文
Corresponding author*, Equal contribution#
- H. Wang, L. Sun, Z. Zhu*, Q. Jiang, X. Zhang, Z. Qian, "Provably Secure and Robust Training-Free GIF Steganography," in IEEE Transactions on Multimedia, 2026, Early accepted. [Code]
- G. Li, N. Chen, H. Zhu, Y. Niu, Z. Xu, J. Li, Z. Zhu, "PSGCL: Pseudo-siamese supervised graph contrastive learning for enhancing prior knowledge guidance in EEG classification," in Knowledge-Based Systems, Volume 343, 2026, 116035, ISSN 0950-7051, DOI: https://doi.org/10.1016/j.knosys.2026.116035
- H. Wang, L. Sun, Z. Zhu*, Z. Hou, Q. Jiang, Z. Ba, Z. Gu, " CloneGuard: Robust Watermarking via ParallelStream Weight Cloning," in IEEE International Conference on Multimedia & Expo, ICME 2026. [Code]
- Y. Tian, J. Li, N. Chen, G. Li, Z. Xu, H. Zhu, Y. Li, Z. Zhu, "Heterogeneity-aware multi-modal physiological signal fusion strategy based on combined contrastive learning for emotion recognition," in Neural Networks, Volume 200, 2026, 108818, ISSN 0893-6080, DOI: https://doi.org/10.1016/j.neunet.2026.108818
- Q. Jiang, Y. Zu, Z. Zhu*, W. Zhong, Y Xu, Z. Qian, X. Zhang, " Dynamic stealthy backdoor attack against anomaly detectors in industrial control systems," in Information Sciences, Volume 735, 2026, 123066, ISSN 0020-0255, DOI: https://doi.org/10.1016/j.ins.2025.123066
- Z. Wang, R. Wen, D. Hu, Z. Zhu*, G. Li, "社交网络净化空间中面向多接收者的隐秘通信," in 6th CSIG Chinese Conference on Media Forensics and Security (ChinaMFS) , 2025.
- Q. Jiang, S. Fan, Z. Zhu*, Z. Hou, W. Zhong, Z. Qian, X. Zhang, " Adversarial Attacks on Industrial Soft Sensors: Multi-Target Attacks Based on Diffusion Models," in Information Sciences, Volume 725, 2026, 122732, ISSN 0020-0255, DOI: https://doi.org/10.1016/j.ins.2025.122732【微信推文】[Code]
- Z. Zhu, Z. Ba, G. Li, Z. Qian, X. Zhang, "Covert Communication in Sanitized Online Social," in 2025 IEEE International Workshop on Information Forensics and Security (WIFS), Perth, Australia, 2025, pp. 144-149, (Oral~) https://doi.org/10.1109/WIFS66636.2025.00033【微信推文】
- Y. Pan, N. Chen, H. Zhu, Z. Zhu, "Intra-group neighborhood relationship-aware channel pruning," Digital Signal Processing, Volume 168, Part D, 2026, 105615, ISSN 1051-2004. https://doi.org/10.1016/j.dsp.2025.105615
- Q. Jiang, Z. Xu, Z. Zhu*, N. Chen, H. Wang, Z. Ba, "Model Discrepancy Learning: Synthetic Faces Detection Based on Multi-Reconstruction," in IEEE International Conference on Multimedia (ICME), Nantes, France, 2025. DOI: 10.1109/ICME59968.2025.11209901.【微信推文】[Code]
- Y. Wang, G. Liu, Z. Zhu, X. Zhang and Z. Qian, "VivID: A Visually Improved GIF Encoding Network Design," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 35, no. 6, pp. 6101-6113, June 2025, DOI: 10.1109/TCSVT.2025.3533007.【微信推文】
- G. Li, N. Chen, H. Zhu, J. Li, Z. Xu, Z. Zhu, "Uncertainty-Aware Graph Contrastive Fusion Network for multimodal physiological signal emotion recognition," in Neural Networks, Volume 187, 2025, 107363, ISSN 0893-6080, DOI: 10.1016/j.neunet.2025.107363.
- Z. Xu, N. Chen, G. Li, J. Li, H. Zhu, Z. Zhu, "Emotion recognition based on time-scale heterogeneity and hierarchical spatial coupling analysis of multimodal physiological signals," in Expert Systems with Applications, Volume 285, 2025, 128035, ISSN 0957-4174, DOI: 10.1016/j.eswa.2025.128035.
- Z. Zhu#, H. Zhou#, H. Hu, Q. Jiang, Z. Qian, X. Zhang, "Hide and Recognize Your Privacy Image," in IEEE Transactions on Network Science and Engineering, vol. 11, no. 6, pp. 6130-6142, Nov.-Dec. 2024, doi: 10.1109/TNSE.2024.3456103.【微信推文】
- Y. Xue, Y. Zhu, Z. Zhu, S. Li, Z. Qian, X. Zhang, "Removing Watermarks For Image Processing Networks Via Referenced Subspace Attention," in The Computer Journal, vol. 67, no. 2, pp. 498–507, February 2024, DOI: 10.1093/comjnl/bxac190.
- Y. Xue, N. Chen, Y. Luo, H. Zhu, Z. Zhu, "CLESSR-VC: Contrastive learning enhanced self-supervised representations for one-shot voice conversion," in Speech Communication, Volume 165, 2024, 103139, ISSN 0167-6393, DOI: 10.1016/j.specom.2024.103139.
- Q. Liang, T. Yan, N. Wang, Z. Zhu, J. Ye, "A Low-Latency Noise-Aware Tone Mapping Operator for Hardware Implementation with a Locally Weighted Guided Filter," in Symmetry, 2024, 16, 356, DOI: 10.3390/sym16030356.
- Y. Niu, N. Chen, H. Zhu, Z. Zhu, G. Li, Y. Chen, "Auditory Spatial Attention Detection Based on Feature Disentanglement and Brain Connectivity-Informed Graph Neural Networks," in Proceedings of INTERSPEECH 2024, DOI: 10.21437/Interspeech.2024.
- Z. Zhu, P. Wei, Z. Qian, S. Li and X. Zhang, "Image Sanitization in Online Social Networks: A General Framework for Breaking Robust Information Hiding," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 6, pp. 3017-3029, June 2023, DOI: 10.1109/TCSVT.2022.3224243.【微信推文】
- H. He, Z. Zhu, X. Zhang, "Adaptive Backdoor Attack against Deep Neural Networks," in Computer Modeling in Engineering & Sciences (CMES), vol. 136, no. 3, pp. 2617, 2023, ISSN 1526-1492, DOI: 10.32604/cmes.2023.025923.
- P. Wei#, Z. Zhu#, G. Luo, Z. Qian and X. Zhang, "Breaking Robust Data Hiding in Online Social Networks," in IEEE Signal Processing Letters, vol. 29, pp. 2682-2686, 2022, DOI: 10.1109/LSP.2022.3233539.
- Z. Zhu, H. Zhou, S. Xing, Z. Qian, S. Li, X. Zhang, "Perceptual Hash of Neural Networks," in Symmetry, 2022, 14, 810, DOI: 10.3390/sym14040810.
- Z. Zhu, S. Li, Z. Qian, X. Zhang, "Destroying robust steganography in online social networks," in Information Sciences, vol. 581, pp. 605-619, 2021, ISSN 0020-0255, DOI: 10.1016/j.ins.2021.10.023.【微信推文】
- Z. Zhu, Q. Ying, Z. Qian, et al., "Steganography in animated emoji using self-reference," in Multimedia Systems, vol. 27, pp. 331–340, 2021, DOI: 10.1007/s00530-020-00723-z.
- Jia W, Z. Zhu*, Wang H, "Destroy the Robust Commercial Watermark via Deep Convolutional Encoder‐Decoder Network," in Security and Communication Networks, 2021, DOI: 10.1155/2021/9119478.
项目
- 国家自然科学基金青年基金: 《基于多目标优化的动画图像隐写理论与方法》，主持。
- 浙江大学区块链与数据安全全国重点实验室开放课题: 《大模型AIGC图像检测与溯源方法研究》，主持。
- 中央高校建设世界一流大学(学科)和特色发展引导专项: 一流特色课程《多媒体与人工智能安全》，主持。
- 中央高校基本科研业务费专项基金: 主持。
- 2025年核电运行研究院数据治理工作现场实施: 主持。
社会活动
- 学术兼职: 中国图象图形学学会-数字媒体取证与安全专委会委员；中国自动化学会-人工智能安全治理专委会委员。
- 审稿人:IEEE-TDSC、IEEE-TCSVT、Signal Processing、NeurIPS、ACM-MM、IEEE-ICME、IEEE-ICASSP、IEEE-AVSS、《信息网络安全》等。
出版专著
- 钱振兴，朱志颖，肖梦瑶。人工智能安全简明教程 [M]. 上海：复旦大学出版社，2025. ISBN 978-7-309-18224-8/T·783.
教授课程
- 研: 《多媒体与人工智能安全》
- 本: 《电工电子学实验》、《电子技术课程设计》
指导学生
- 历届毕业生合影
- 上海市级“大学生创新创业训练计划”项目: “社交网络净化空间中的隐蔽通信”
- 中国国际大学生创新大赛上海赛区金奖: “智溯旦鉴——引领人工智能全链路数字知产保护新时代”
- 祝贺2023级硕士许智铄同学获得研究生国家奖学金！
- 祝贺2024级硕士孙林豪同学的2篇论文分别被TMM（CCF A）和ICME（CCF B）录用！
- 祝贺王子安、文睿、胡迪三位本科生同学的论文被ChinaMFS2025录用！
联系我
邮箱: zyzhu@hhu.edu.cn
地址:江苏省南京市江宁区佛城西路8号河海大学（江宁校区）