一、基本信息
黄霖，男，1997年生，江西赣州人，博士，赣南师范大学计算机科学与技术学院教师、硕士研究生导师。
研究方向：
多媒体安全：信息隐藏、图像水印、图像加密
人工智能安全：模型水印、模型隐写、后门攻击与防御、对抗样本
招生方向：
数据智能分析与应用
电子信息
联系方式：
电话：15083983519 邮箱：linh@gnnu.edu.cn 或15083983519@163.com
二、教育经历
2021.9 - 2025.6 上海理工大学，博士
2018.9 - 2021.6 景德镇陶瓷大学，硕士
2014.9 - 2018.6 景德镇陶瓷大学 ，学士
三、主持和参与科研项目
江西省教育厅科技项目：基于模型可解释性的后门防御技术研究，在研，主持。
国家重点研发计划项目：数字文创资产权属管理及服务网络，在研，参与。
国家自然科学基金地区项目：面向移动平台的安全可逆信息隐藏中若干关键技术研究，已结题，参与。
四、主要荣誉与奖励
2025年，中国发明协会发明创业奖成果奖二等奖
2023年，阿里云天池数据洞察挑战赛三等奖
五、代表性学术论文
[1] Huang Lin, Qin Chuan, Feng Guorui, and Zhang Xinpeng. Neural network watermarking with hierarchical recoverability[J]. IEEE Transactions on Dependable and Secure Computing, 2025, 22(5): 5077-5089. (SCI 2区TOP, CCF A, IF = 7.5)
[2] Huang Lin, Zhang LeoYu, Change Ching-Chun, Wang Wei, and Qin Chuan. Backdoor defense based on adversarial prediction proximity and contrastive knowledge distillation[J]. Pattern Recognition, 2025, 172: 1-10. (SCI 1区TOP, CCF B, IF = 7.6)
[3] Huang Lin, Li Fengyong, Yao Heng, Qin Chuan, and Zhang Xinpeng. Soft integrity authentication for neural network models[J]. Expert Systems with Applications, 2024, 267: 1-11. (SCI 1区TOP, CCF C, IF = 7.5)
[4] Huang Lin, Qin Chuan, Feng Guorui, Luo Xiangyang, and Zhang Xinpeng. New framework of robust image encryption[J]. ACM Transactions on Multimedia Computing, Communications and Applications, 2025, 21(3): 1-22. (SCI收录, CCF B, IF = 6.0)
[5] Huang Lin, Tao Yitong, Qin Chuan, and Zhang Xinpeng. Robust hashing for neural network models via heterogeneous graph representation[J]. IEEE Signal Processing Letters, 2024, 31: 2640-2644. (SCI收录, CCF C, IF = 3.2)
[6] Huang Lin, Zhao Gejian, and Qin Chuan. Recoverable active protection framework for neural network models[C]//Proceedings of the 15th IEEE International Workshop on Information Forensics and Security (WIFS). IEEE, 2023: 1-6. (EI收录)
[7] 黄霖, 吴亮, 高胜严, 秦川. 基于生成对抗网络的无目标深度检索哈希攻击算法[J]. 计算机学报, 2023, 46(4): 803-813. (EI收录, 中文CCF A)
[8] Xu Chenyi†, Huang Lin†, Qin Chuan, Feng Guorui, and Zhang Xinpeng. Steganography with constructing neural networks[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2025, 35(10): 9909-9921. (SCI 1区TOP, CCF B, IF = 11.1)
[9] Cao Fang, Ye Haowei, Huang Lin*, and Qin Chuan. Multi-image based self-embedding watermarking with lossless tampering recovery capability[J]. Expert Systems with Applications, 2024, 258: 1-13. (SCI 1区TOP, CCF C, IF = 7.5)
[10] Wang Na, Xu Chenyi, Cao Fang, Huang Lin*, Wang Wei*, and Qin Chuan. Steganography via neural network parameter initialization with high fidelity and imperceptibility[J]. IEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2025.3634666. (SCI 1区TOP, CCF B, IF = 11.1)
[11] Qin Chuan, Du Ruijie, Huang Lin, Wang Na, Qian Zhenxing, and Zhang Xinpeng. U-StegNet: A Unified Deep Network for Image Steganography[J]. IEEE Transactions on Dependable and Secure Computing, 2026, doi: 10.1109/TDSC.2026.3665501. (SCI 2区TOP, CCF A, IF = 7.5)
[12] Wang Na, Li Pengpeng, Huang Lin, Cao Fang, Wang Xinyi, and Qin Chuan. ReFHD-Net: A reversible functionality hiding framework for deep neural networks[J]. IEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2025.3632812. (SCI 1区TOP, CCF B, IF = 11.1)
[13] Kong Ping, Zhang Yongdong, Huang Lin, Zhou Liang, Chen Lifan, and Qin Chuan. Neural network-based reversible data hiding for medical image[J]. Expert Systems with Applications, 2024, 256: 1-13. (SCI 1区TOP, CCF C, IF = 7.5)
