I am currently a third year PHD student in CIT at the Purdue University, supervised by Prof. Wenhai Sun.
My research covers various topics in cybersecurity, with a particular focus on privacy and artificial intelligence. I have experience in differential privacy, graph learning, and secure data analysis. My current work explores privacy-preserving machine learning and the development of AI systems designed to ensure security and data protection in complex, networked environments.
🔥 News
- Apr 2025, Our paper “Mitigating Data Poisoning Attacks to Local Differential Privacy” was accepted to ACM CCS 2025! Thanks to all of my collaborators.
📝 Publications
Xiaolin Li, Ninghui Li, Boyang Wang, Wenhai Sun. Mitigating Data Poisoning Attacks to Local Differential Privacy. ACM CCS. 2025.
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Xiaolin Li, Qikui Xu, Zhenyu Xu, Hongyan Zhang, Li Xu. Graph Reconfigurable Pooling for Graph Representation Learning. IEEE Transactions on Emerging Topics in Computing. 2023. [PDF]
Xiaolin Li, Li Xu, Hongyan Zhang, Qikui Xu. Differential privacy preservation for graph auto-encoders: A novel anonymous graph publishing model. Neurocomputing. 2023. [PDF]
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Zhenyu Xu, Yifan Li,
Xiaolin Li, Xinxin Zhang, Li Xu. Influence Maximization in Partially Observable Mobile Social Networks. MobiMedia. 2023. [PDF] -
Hongyan Zhang,
Xiaolin Li, Jiayu Xu, Li Xu, Graph matching based privacy-preserving scheme in social networks. SocialSec. 2021.
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🏅 Honors and Awards
- 2023.09, Presidential Doctoral Excellence Award in Purdue Unviersity, Purdue University
🎓 Educations
- 2016.09 - 2020.06, B.E. in Network Engineering, Shandong Agricultural University, Taian China.
- 2020.09 - 2023.06, Master in Cybersecurity, Fujian Normal University, Fuzhou China.
- 2023.09 - Present, Ph.D in Computer and Information Technology, Purdue University, West Lafayette USA.
💬 Professional Service
- Reviewer
- INFOCOM 2026.
- IEEE TIFS 2025, IEEE TDSC 2025, The Journal of Supercomputing 2024.