Zihang Xiang

I am a 3rd-year Ph.D. student at King Abdullah University of Science and Technology (KAUST), advised by Prof. Di Wang. Some of my work is also carried out under the guidance of Tianhao Wang at University of Virginia. I received my Bachelor's degree in Electrical Engineering at Shanghai Jiao Tong University (SJTU) IEEE Pilot Class . I also receive my Master's degree from SJTU.

My current research of interests is data privacy in Machine learning applications.

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Publications (* means co-first author )

A Theory to Instruct Differentially-Private Learning via Clipping Bias Reduction
Hanshen Xiao*, Zihang Xiang*, Di Wang, Srini Devadas
44th IEEE Symposium on Security and Privacy (IEEE S&P 2023)
[PDF] [GitHub]
Practical Differentially Private and Byzantine-resilient Federated Learning
Zihang Xiang, Tianhao Wang, Wanyu Lin, Di Wang
International Conference on Management of Data (SIGMOD), 2023
[PDF] [GitHub]
Privacy-preserving Sparse Generalized Eigenvalue Problem
Lijie Hu *, Zihang Xiang*, Jiabin Liu, Di Wang
The 26th International Conference on Artificial Intelligence and Statistics (AISTATS), 2023


TA of CS229: Machine Learning, Spring 2023/2022, KAUST


(Sub)-Reviewer: NDSS2023, CCS2023, PETS2023, ICML2023, IEEE-TNNLS