Yu (Jennie) Zheng

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yu.zheng[at]uci.edu

Biography | Selected Publications | Teaching & Mentoring | Service | Misc

Hi! I am an Associate Specialist at University of California, Berkeley. My research interests focus on privacy-preserving AI, LLM privacy & security, and secure computation. If you are interested into my research, I am glad to share or collaborate.

University of California, Berkeley Feb 2026 – Present

Associate Specialist

University of California, Irvine Sep 2024 – Feb 2026

Postdoctoral Scholar

Chinese Univ. of Hong Kong (CUHK) Aug 2018 – Jul 2024

Department of Information Engineering · PhD

Thesis: Communication-efficient protocols for secure training.

Morse Team, Ant Group & Alibaba Group May 2022 – Sep 2022

Applied Research Intern - Algorithm, Full-time.

Trustworthy Theory and Engineering Lab, 2012 Labs Sep 2020 - Nov 2020

Applied Research Intern - Security and Privacy, Full-time.

Northeastern University (NEU) Oct 2014 – Jun 2018

Department of Communication Engineering · BEng
Ranking: 1st of 96.

National University of Singapore Jul 2018 - Aug 2018

Summer School Undergraduate, Full-time.

Chinese University of Hong Kong Mar 2018 - May 2018

Research Assistant, Full-time.

Selected Publications


My research is situated at the intersection of artificial intelligence (AI) and privacy-enhancing technologies (PETs), with the overarching goal of enabling efficient and privacy-preserving real-world applications. I advance PETs, including multiparty computation (MPC), differential privacy (DP), and federated learning (FL). Building on my contributions to the theory and design of PETs, I advance PPAI real-world deployments by developing theoretically sound and practically deployable PETs solutions. My work has been classified as privacy-preserving AI, LLM privacy & security, and secure computation. My long-term vision is to pioneer foundational PPAI methodologies and build scalable PPAI systems with real-world impact. Full List

Privacy-Preserving AI

EAGLE: Scalable Privacy-Preserving Graph-based Anomaly Detection with Practical Cross-silo Partitioning.
ACM SIGKDD Conference (KDD), 2027 (accepted).
Chenang Li, Yu Zheng, Tianyi Liu, Yupeng Zhang, and Zhou Li.
Secure Graph Convolutional Network on Vertically Split Data from Sparse Matrix Decomposition.[Code]
Prelim version accepted in DLSP Workshop @IEEE S&P, 2025.
Yu Zheng, Qizhi Zhang, Chenang Li, Lichun Li, Kai Zhou, and Shan Yin.
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning.[Code]
NeurIPS, 2023.
Zhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian, Hao Peng, Tongliang Liu, and Bo Han.
Secure Softmax/Sigmoid for Machine-Learning Computation.[Code]
ACSAC, 2023.
Yu Zheng, Qizhi Zhang, Sherman S.M. Chow, Yuxiang Peng, Sijun Tan, Lichun Li, and Shan Yin.

LLM Privacy & Security

From Review to Authorization: Key-Isolated Threshold Signing for LLM Agents.
Beyond Private Training: The New Landscape of AI Privacy (NeurIPS InfPriv Workshop), 2026.
Yu Zheng, Qizhi Zhang.
From Alerts to Intelligence: A Novel LLM-Aided Framework for Host-based Intrusion Detection.
arXiv, 2025.
Danyu Sun, Jinghuai Zhang, Jiacen Xu, Yu Zheng, Yuan Tian, and Zhou Li.

Secure Computation

DISCO: Dynamic Searchable Encryption with Constant State.[Code]
AsiaCCS, 2024.
Xiangfu Song, Yu Zheng, Jianli Bai, Changyu Dong, Zheli Liu, and Ee-Chien Chang.
Encrypted Video Search: Scalable, Modular, and Content-similar.[Code]
MMSys, 2022. (Best Student Paper Award)
Yu Zheng, Heng Tian, Minxin Du, and Chong Fu.

Teaching & Mentoring

During my PhD, I have also had the opportunity to mentor the fantastic undergraduate and master’s students on their theses and research projects.

Chenang Li (Oct 2024 - Present: PhD Student @UCI


Professional Service

Organizing Committee:

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Session Chair/Host:

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Miscellaneous