Logo

Zhifeng Jiang
江志锋

Senior Research Scientist at Huawei FSI Lab

Contact

zjiangaj
Zhifeng_Jiang
Last Updated: February 2025

About Me

I got my PhD degree in the spring of 2024 from Computer Science and Engineering, Hong Kong University of Science and Technology. advised by Prof. Wei Wang. I also work closely with Dr. Ruichuan Chen and Prof. Bo Li. I got my B.S. degree in 2019 from Department of Computer Science and Technology, Zhejiang University.

Research Interests: Privacy Preserving Machine Learning

Dissertation: "Towards Private and Efficient Cross-Device Federated Learning"

News

  • 2025-02: Invited to serve as a reviewer for IEEE TKDE.
  • 2024-12: One paper accepted to IEEE TDSC. Congrats to my co-authors!
  • 2024-11: One paper accepted to ACM PPoPP 2025. Congrats to my co-authors!
  • 2024-09: Invited to serve as a reviewer for IEEE TNNLS.
  • 2024-08: Presented our work Lotto at USENIX Security 2024.
  • 2024-08: Given an invited talk in a seminar at Shanghai Jiao Tong University.
  • 2024-07: Given an invited talk in an online seminar of Huawei.
  • 2024-07: Won HKUST RedBird Academic Excellence Award.
  • 2024-07: Received Research Travel Grant from UGC, Hong Kong.
  • 2024-06: Given an invited talk at Shenzhen Institute of Computing Sciences.
  • 2024-06: One paper accepted to ICPP 2024. Congrats to my co-authors!
  • 2024-05: Defended my PhD thesis successfully.
  • 2024-05: Served as an invited reviewer for IEEE Transactions on Big Data.
  • 2024-04: Presented our work Dordis at ACM EuroSys 2024.
  • 2024-04: Received Research Travel Grant from UGC, Hong Kong.
  • 2024-03: Lotto accepted to USENIX Security 2024. Congrats to my collaborators!

Selected Papers

  • USENIX Security'24 Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning
    Zhifeng Jiang, Peng Ye, Shiqi He, Wei Wang, Ruichuan Chen, Bo Li
    • [pdf] [full version] [code] [html] [video] [slides] [bibtex]
  • IEEE TBD'23 Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies
    Zhifeng Jiang, Wei Wang, Bo Li, Qiang Yang
    • [pdf] [code] [html] [bibtex]
  • ACM SoCC'22 Pisces: Efficient Federated Learning via Guided Asynchronous Training
    Zhifeng Jiang, Wei Wang, Baochun Li, Bo Li
    • [pdf] [code] [html] [slides] [poster] [bibtex]
  • IEEE ICDCS'21 Gillis: Serving Large Neural Networks in Serverless Functions with Automatic Model Partitioning
    Minchen Yu, Zhifeng Jiang, Hok Chun Ng, Wei Wang, Ruichuan Chen, Bo Li
    • [pdf] [code] [html] [recording] [bibtex]
    Best Paper Runner-Up Award

Other Recent Papers

  • IEEE TDSC'25 Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning
    Peng Ye, Zhifeng Jiang, Wei Wang, Bo Li, Baochun Li
    • [html] [code] [bibtex]
  • ACM PPoPP'25 SGDRC: Software-Defined Dynamic Resource Control for Concurrent DNN Inference on NVIDIA GPUs
    Yongkang Zhang, Haoxuan Yu, Chenxia Han, Cheng Wang, Baotong Lu, Yunzhe Li, Zhifeng Jiang, Yang Li, Xiaowen Chu, Huaicheng Li
    • [html] [bibtex]
  • ICPP'24 FedCA: Efficient Federated Learning with Client Autonomy
    Na Lv, Zhi Shen, Chen Chen, Zhifeng Jiang, Jiayi Zhang, Quan Chen, Minyi Guo
    • [html] [bibtex]
  • arXiv'24 Safeguarding System Prompts for LLMs
    Zhifeng Jiang, Zhihua Jin, Guoliang He
    • [preprint] [code]
  • arXiv'21 FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning
    Zhifeng Jiang, Wei Wang, Yang Liu
    • [preprint] [code]

Experience

  • Research Intern, University of California, San Diego, La Jolla, CA, USA, Jul - Sept 2018
    Project: Defense against Return-Oriented Programming

Awards & Grants

  • RedBird Academic Excellence Award (HKUST, 2024, 2023)
  • Research Travel Grant (UGC, Hong Kong, 2024×2, 2023)
  • Travel Grant (ACM EuroSys, 2024)
  • Student Travel Scholarship (ACM SoCC, 2022)
  • Best Paper Runner-Up Award (IEEE ICDCS, 2021)
  • Outstanding Graduate (Zhejiang Province, 2019)
  • He Zhijun Scholarship (Dept. of CS, ZJU, 2017)
  • National Scholarship (Ministry of Education, China, 2017)

Professional Service

  • Journal Sub-Reviewer: IEEE Transactions on Network Science and Engineering, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Big Data
  • Conference Sub-Reviewer: IEEE INFOCOM 2020-2024, IEEE ICDCS 2024, 2023 and 2021, IEEE/ACM IWQoS 2020-2021, IEEE WoWMoM 2021, IEEE ICNP 2020

Teaching

  • HKUST COMP3511: Operating System. (Fall 2022, Fall 2020)
  • HKUST COMP4651: Cloud Computing. (Fall 2021)
  • HKUST COMP4521: Mobile Application Development. (Spring 2020)
  • ZJU: Operating System (Educational Reform Class). (Fall 2018)