Hanxi Guo | Purdue University

About Me

I am currently a first-year Ph.D. student in Computer Science at Purdue University, advised by Prof. Xiangyu Zhang. Before joining Purdue, I received both of my M.Eng. degree and B.Eng. degree in Computer Science from Shanghai Jiao Tong University (SJTU), where I was supervised by Prof. Ruhui Ma and Prof. Tao Song. I also worked with Prof. Yang Hua, and Prof. Hao Wang.

My research interests center around AI Security, especially for the security and fairness issues in Federated Learning and Large Language Models.

News

[Feb. 2024] Our paper “Siren⁺: Robust Federated Learning with Proactive Alarming and Differential Privacy.” is accepted by IEEE TDSC.
[Aug. 2021] Our paper “Siren: Byzantine-robust Federated Learning via Proactive Alarming.” is accepted by SoCC 2021.
[Aug. 2021] Our paper “SpaceDML: Enabling Distributed Machine Learning in Space Information Networks.” is accepted by IEEE Network.

Publications

TDSC

Siren⁺: Robust Federated Learning with Proactive Alarming and Differential Privacy

Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Xiulang Jin, Zhengui Xue, Haibing Guan

IEEE Transactions on Dependable and Secure Computing (TDSC), 2024.

PDF Code Early Access

SoCC

Siren: Byzantine-robust Federated Learning via Proactive Alarming

Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Zhangcheng Lv, Xiulang Jin, Zhengui Xue, Ruhui Ma, Haibing Guan

ACM Symposium on Cloud Computing (SoCC), 2021.

PDF Code

Network

SpaceDML: Enabling Distributed Machine Learning in Space Information Networks

Hanxi Guo, Qing Yang, Hao Wang, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan

IEEE Network, 2021.

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