Biography

Websites:
Google Scholar

Education:
Ph.D., Computer Science, University of Delaware
M.S., Computer Science, University of Louisiana at Lafayette
B.S., Internet of Things, Harbin Institute of Technology

Research Expertise: 
Cybersecurity | Machine Learning | Data Privacy | Membership Inference | AI for Science

My research focuses on data privacy and security, with a particular emphasis on challenges in both real-world applications and machine learning (ML) systems. I am especially interested in auditing and protecting ML training datasets, developing techniques to infer, detect, and prevent unauthorized data usage. More recently, I have expanded my work into AI for Science, applying advanced ML models to remote sensing and environmental data. Earlier in my research career, I also explored networking optimization problems, such as Age of Information and multi-hop communication efficiency.

Professional Memberships:
Institute of Electrical and Electronics Engineers

Selected Publications:
Jiadong Lou, Xu Yuan, Xingliang Yuan, Neil Zhenqiang Gong, and Nian-Feng Tzeng, ``GRID: Protecting training graph from link stealing attacks on GNN models,'' in Proc. of IEEE Symposium on Security and Privacy (S&P), 2025.

Jiadong Lou, Xu Yuan, and Ning Zhang, ``Devils in Your Apps: Vulnerabilities and user privacy exposure in mobile notification systems,'' in Proc. of IEEE/IFIP International Conference on Dependable Systems and Network (DSN), 2023. Best Paper Award and Distinguished Paper Award

Jiadong Lou, Xu Yuan, Miao Pan, Hao Wang, and Nian-Feng Tzeng, ``Data privacy examination against semi-supervised learning,'' in Proc. of ACM ASIA Conference on Computer and Communications Security (Asia CCS), 2023.

Jiadong Lou, Xu Yuan, Ning Zhang, ``Messy States of Wiring: Vulnerabilities in emerging personal payment Systems,'' in Proc. of USENIX Security Symposium, 2021.

Yihe Zhang, Xu Yuan, Jin Li, Jiadong Lou, Li Chen, and Nian-Feng Tzeng. ``Reverse Attack: Black-box Attacks on Collaborative Recommendation,'' in Proc. of ACM SIGSAC Conference on Computer and Communications Security (CCS), 2021.