(Jennie) Yu Zheng

(Jennie) Yu Zheng

Postdoc at UC Irvine

Biography

[Curriculum Vitae] [Google Scholar] [GitHub] [LinkedIn] [X/Twitter]

I am a Postdoctoral Researcher in the Department of Electrical Engineering & Computer Science at University of California, Irvine (UCI) advised by Prof. Zhou Li. My research interests focus on privacy-preserving systems, secure machine learning, and applied cryptography. If you are interested into my research, welcome to contact me.

News

  • [May 2025] I am excited to attend S&P in San Francisco. I will share our poster work about ‘‘Grace’’ at DLSP@S&P on May 15. I would be very appreciated if you could give comments and suggestions!
  • [Nov 2024] I am excited to attend NSF NeTS Early Career Investigator Workshop on January 15-16, 2025. I am grateful for NSF Travel Grant and my advisor’s great help! See you in Alexandria, Virginia ~
  • [Sep 2024] I joined DSP lab hosted by Prof. Zhou Li at University of California, Irvine!
  • [Jun 2024] I passed my PhD defense!

Selected Publication & Preprint

# denotes equal contribution.

  • Yu Zheng, Chenang Li, Zhou Li, and Qingsong Wang. “Convergent Privacy Framework with Contractive GNN layers for Multi-hop Aggregations.” arXiv

  • Jiacen Xu, Chenang Li, Yu Zheng, and Zhou Li. “Entente: Cross-silo Intrusion Detection on Network Log Graphs with Federated Learning”. arXiv

  • Yu Zheng#, Qizhi Zhang#, Chenang Li, Lichun Li, Kai Zhou, and Shan Yin. “Secure Graph Convolutional Network on Vertically Split Data from Sparse Matrix Decomposition.” arXiv (Preliminary version accepted as extended abstract in DLSP@S&P’25)

  • Yu Zheng, Wenchao Zhang, Yonggang Zhang, Wei Song, Kai Zhou, and Bo Han. “Revisiting Privacy-Utility Trade-off for DP Training with Pre-existing Knowledge.” arXiv

  • Xiangfu Song, Yu Zheng, Jianli Bai, Changyu Dong, Zheli Liu, and Ee-Chien Chang. “DISCO: Dynamic Searchable Encryption with Constant State.” ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2024.

  • Yu Zheng, Wenchao Zhang, Wei Song, Xiuhua Wang, and Chong Fu. “Encrypted Video Search with Single/Multiple Writers.” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2024. (Invited Submission)

  • Zhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian, Hao Peng, Tongliang Liu, and Bo Han. “FedFed: Feature Distillation against Data Heterogeneity in Federated Learning.” Advances in Neural Information Processing Systems (NeurIPS), 2023.

  • Yu Zheng#, Qizhi Zhang#, Sherman S.M. Chow, Yuxiang Peng, Sijun Tan, Lichun Li, and Shan Yin. “Secure Softmax/Sigmoid for Machine-Learning Computation.” Annual Computer Security Applications Conference (ACSAC), 2023. [Available Badge, Functional Badge, Reproduced Badge]

  • Yu Zheng, Wei Song, Minxin Du, Sherman S.M. Chow, Qian Lou, Yongjun Zhao, Xiuhua Wang. “Cryptography-Inspired Federated Learning Variants for GAN and Meta Learning.” International Conference on Advanced Data Mining and Applications (ADMA), 2023.

  • Yu Zheng, Heng Tian, Minxin Du, and Chong Fu. “Encrypted Video Search: Scalable, Modular, and Content-similar.” ACM Multimedia Systems Conference (MMSys), 2022. (Best Student Paper Award)

Misc

I like reading and sports. And …