新加坡南洋理工大学，计算机科学与工程学院，博士后，导师：刘杨 教授

武汉大学，国家网络安全学院，工学博士，导师：王丽娜 教授

期刊审稿

IEEE Transactions on Information Forensics and Security

IEEE Transactions on Dependable and Secure Computing

IEEE Transactions on Neural Networks and Learning Systems 

IEEE Transactions on Industrial Informatics

会议审稿

ACM International Conference on Multimedia (ACM MM-24)

The 33rd International Joint Conference on Artificial Intelligence (IJCAI-24)

The 37th AAAI Conference on Artificial Intelligence (AAAI-23)

人工智能安全：逃逸攻击与对抗防御、隐蔽式后门嵌入与移除、欺骗性提示注入与清洗。

图数据隐私与安全：图样本隐私感知安全、图机器遗忘学习、敏感属性合规性分析。

多媒体内容安全：生成式水印与指纹、深度模型版权保护、深度伪造与检测。

课题组常年招收硕士研究生，要求对学术研究有一定兴趣，且具备扎实的编程、数学和英语能力，欢迎有意从事人工智能安全、图数据隐私与安全、多媒体内容安全等方向（不局限于上述方向）的同学与我联系。欢迎和鼓励优秀本科生加入到研究组中，接触前沿的学术研究，发表高水平研究成果和参加学科竞赛获奖，为将来毕业工作或继续深造打造良好的基础。本课题组与新加坡南洋理工大学、澳大利亚新南威尔士大学、新加坡管理大学、澳大利亚昆士兰大学等研究机构有广泛深入的合作，可推荐优秀学生前往海外著名高校攻读博士学位、联合培养等。

【招收2025级硕士研究生，欢迎勤奋、自律、上进的学生邮件联系，附个人简历&成绩单】

现任东南大学网络空间安全学院副研究员、硕士生导师，主要从事人工智能安全、图数据隐私与安全、多媒体内容安全等方面的研究，曾在多个国内外知名刊物上发表论文，主要包括：IEEE TIFS、IEEE TDSC、IEEE TKDE、IEEE TC、IEEE TMC、IEEE TNNLS、IEEE TII、Pattern Recognition等，已授权国家发明专利3项。

国家自然科学基金委员会，面上项目，62172306，基于自监督表征学习的伪造语音检测方法研究，2022-2025，在研，参与

国家自然科学基金委员会，联合基金重点项目，U1536204，基于自然图像内容的信息隐藏检测理论、建模、系统实现以及安全性评价研究，2016-2019，结题，参与

某装备部，GF预研项目，基于***技术，2019-2020，结题，参与

国家某部委，GF合作项目，面向***的研究，2018.01-2018.12，结题，参与

《信号与系统》、《国产网络安全产业发展》

代表性论文：

• Ju Jia, Siqi Ma, Yang Liu, Lina Wang, and Robert H. Deng, A Causality-Aligned Structure Rationalization Scheme against Adversarial Biased Perturbations for Graph Neural Networks, IEEE Transactions on Information Forensics and Security, 2024, vol. 19, no. 4, pp. 59-73. (CCF A类) 

• Ju Jia, Yueming Wu, Anran Li, Siqi Ma, and Yang Liu, Subnetwork-Lossless Robust Watermarking for Hostile Theft Attacks in Deep Transfer Learning Models, IEEE Transactions on Dependable and Secure Computing, to be published, doi: 10.1109/TDSC.2022.3194704. (CCF A类)

• Hongyu Zhu, Sichu liang, Wentao Hu, Li Fangqi, Ju Jia, and Shi-Lin Wang, Reliable Model Watermarking: Defending Against Theft without Compromising on Evasion, ACM International Conference on Multimedia, 2024. (CCF A类) 

• Ju Jia, Siqi Ma, Lina Wang, Yang Liu, and Robert H. Deng, A Secure and Robust Knowledge Transfer Framework via Stratified-Causality Distribution Adjustment in Intelligent Collaborative Services, IEEE Transactions on Computers, to be published, doi: 10.1109/TC.2023.3318403. (CCF A类)

• Anran Li, Jiahui Huang, Ju Jia, Hongyi Peng, Lan Zhang, Luu Anh Tuan, Han Yu, and Xiang-Yang Li, Efficient and Privacy-Preserving Feature Importance-based Vertical Federated Learning, IEEE Transactions on Mobile Computing, to be published, doi: 10.1109/TMC.2023.3333879. (CCF A类)

• Ju Jia, Meng Luo, Siqi Ma, Lina Wang, and Yang Liu, Consensus-Clustering-based Automatic Distribution Matching for Cross-Domain Image Steganalysis, IEEE Transactions on Knowledge and Data Engineering, 2023, vol. 35, no. 6, pp. 5665-5679. (CCF A类)

• Ju Jia, Liming Zhai, Weixiang Ren, Lina Wang, and Yanzhen Ren, An Effective Imbalanced JPEG Steganalysis Scheme Based on Adaptive Cost-Sensitive Feature Learning. IEEE Transactions on Knowledge and Data Engineering, 2022, vol. 34, no. 3, pp. 1038-1052. (CCF A类)

• Ju Jia, Meng Luo, Jinshuo Liu, Weixiang Ren, and Lina Wang, Multiperspective Progressive Structure Adaptation for JPEG Steganography Detection Across Domains, IEEE Transactions on Neural Networks and Learning Systems, 2022, vol. 33, no. 8, pp. 3660-3674. (中科院一区)

• Ju Jia, Meng Luo, Siqi Ma, and Lina Wang, Partial Knowledge Transfer in Visual Recognition Systems via Joint Loss-Aware Consistency Learning, IEEE Transactions on Industrial Informatics, 2022, vol. 18, no. 11, pp. 7463-7474. (中科院一区)

• Ju Jia, Liming Zhai, Weixiang Ren, Lina Wang, Yanzhen Ren, and Lefei Zhang, Transferable heterogeneous feature subspace learning for JPEG mismatched steganalysis, Pattern Recognition, 2020, 100: 107105. (中科院一区)