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Zhifeng Jiang
江志锋

Ph.D. candidate in CSE, HKUST

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Zhifeng_Jiang
Last Updated: March 2024

About Me

I am a final-year PhD student in 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 Computer Science from Zhejiang University in 2019.

Research Interests: Privacy-Preserving Machine Learning

I develop systems support for efficient, private, and robust federated computation over the Internet.

I am on the job market for academic and research positions.

News

  • 2024-04: Receive Research Travel Grant from UGC, Hong Kong.
  • 2024-03: Lotto has been accepted to USENIX Security 2024. Congrats to my collaborators!
  • 2023-10: Our new work Lotto sustains honest majority across participants for secure FL.
  • 2023-09: Dordis has been accepted to ACM EuroSys 2024.
  • 2023-06: Win HKUST RedBird Academic Excellence Award.
  • 2023-05: Brainstorm with Prof. Marco Canini and Prof. Suhaib A Fahmy from KAUST.

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
    • [preprint] [code]
  • ACM EuroSys'24 Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy
    Zhifeng Jiang, Wei Wang, Ruichuan Chen
    • [preprint] [code]
  • 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

  • arXiv'22 Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning
    Peng Ye, Zhifeng Jiang, Wei Wang, Bo Li, Baochun Li
    • [preprint] [code]
  • arXiv'21 FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning
    Zhifeng Jiang, Wei Wang, Yang Liu
    • [preprint] [code]

Experience

  • Engineering Intern, Huawei Tech, Hangzhou, Zhejiang, China, Feb - May 2019
    Project: Building a Serverless Infrastructure from Scratch
  • Research Intern, University of California, San Diego, La Jolla, CA, USA, Jul - Sept 2018
    Project: Defense against Return-Oriented Programming

Honors & Awards

  • Research Travel Grant (UGC, Hong Kong, 2023, 2024)
  • RedBird Academic Excellence Award (HKUST, 2023)
  • 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