Zuobin Xiong

Office: AEB-205, 4505 S Maryland Pkwy, Las Vegas, NV 89154

Phone: (702)774-3421

Email: zuobin.xiong at

UNLV dot EDU

I am an Assistant Professor in the Department of Computer Science at the University of Nevada-Las Vegas. I received my Ph.D. degree from the Department of Computer Science at Georgia State University under the supervision of Dr. Wei Li and Dr. Zhipeng Cai. I received my M.E. degree and B.S. degree from Department of Computer Science, Harbin Engineering University in 2019 and Department of Mathematics, Northeast Forestry University in 2016, respectively. I have published papers on and served as reviewer for bunch of premier conferences and journals, including IEEE ICDM, AAAI, IEEE GLOBECOM, IEEE Transactions on Vehicular Technology (TVT), IEEE Transactions on Industrial Informatics (TII), Transactions on Knowledge and Data Engineering (TKDE), Transactions on Network Science and Engineering (TNSE), IEEE Transactions on Dependable and Secure Computing (TDSC), etc.

Research Interests

Private Machine Learning	Adversarial Machine Learning
Differential Privacy	Privacy Inference Attacks
Federated Learning	the Internet of Things
Cybersecurity Study	Cybersecurity Education

🚀💡🏳️‍🌈 Currently recruiting❗❗❗

I am looking for self-motivated students with strong mathematical and programming skills to work with me on Data Privacy, Cybersecurity, Machine Learning, and IoT projects. If you are interested, please email me your CV and indicate your goals.

News

Sep 23, 2023	Our papers “Exact-Fun: An Exact and Efficient Federated Unlearning Approach” and “Backdoor Attack on 3D Grey Image Segmentation” are accepted by ICDM 2023.
Apr 27, 2023	I will join the Department of Computer Science at University of Nevada-Las Vegas this fall semester as an Assistant Professor.
Nov 20, 2022	Our paper “Federated Generative Model on Multi-Source Heterogeneous Data in IoT” is accepted for publication by AAAI 2023.
Aug 25, 2022	Our paper “A Self-Supervised Purification Mechanism for Adversarial Samples” is awarded as the best paper on IEEE Smart Data (SmartData).

Selected publications

ICDM

Exact-Fun: An Exact and Efficient Federated Unlearning Approach

Zuobin Xiong, Wei Li, Yingshu Li, and 1 more author

In 2023 IEEE International Conference on Data Mining (ICDM), 2023

Bib PDF

@inproceedings{xiong2023exact,
  title = {Exact-Fun: An Exact and Efficient Federated Unlearning Approach},
  author = {Xiong, Zuobin and Li, Wei and Li, Yingshu and Cai, Zhipeng},
  booktitle = {2023 IEEE International Conference on Data Mining (ICDM)},
  pages = {},
  year = {2023},
  organization = {IEEE},
}

CSUR

Generative adversarial networks; A survey toward private and secure applications

Zhipeng Cai, Zuobin Xiong, Honghui Xu, and 3 more authors

ACM Computing Surveys (CSUR), 2021

Bib HTML

@article{cai2021generative,
  title = {Generative adversarial networks; A survey toward private and secure applications},
  author = {Cai, Zhipeng and Xiong, Zuobin and Xu, Honghui and Wang, Peng and Li, Wei and Pan, Yi},
  journal = {ACM Computing Surveys (CSUR)},
  volume = {54},
  number = {6},
  pages = {1--38},
  year = {2021},
  publisher = {ACM New York, NY, USA},
}

TII

Privacy threat and defense for federated learning with non-iid data in AIoT

Zuobin Xiong, Zhipeng Cai, Daniel Takabi, and 1 more author

IEEE Transactions on Industrial Informatics, 2021

Bib HTML

@article{xiong2021privacy,
  title = {Privacy threat and defense for federated learning with non-iid data in AIoT},
  author = {Xiong, Zuobin and Cai, Zhipeng and Takabi, Daniel and Li, Wei},
  journal = {IEEE Transactions on Industrial Informatics},
  volume = {18},
  number = {2},
  pages = {1310--1321},
  year = {2021},
  publisher = {IEEE},
}

TDSC

Towards neural network-based communication system - attack and defense

Zuobin Xiong, Zhipeng Cai, Chunqiang Hu, and 2 more authors

IEEE Transactions on Dependable and Secure Computing, 2022

Bib HTML

@article{xiong2022towards,
  title = {Towards neural network-based communication system - attack and defense},
  author = {Xiong, Zuobin and Cai, Zhipeng and Hu, Chunqiang and Takabi, Daniel and Li, Wei},
  journal = {IEEE Transactions on Dependable and Secure Computing},
  year = {2022},
  publisher = {IEEE}
}