Zhifeng Jiang 江志锋｜ HKUST 香港科技大学

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: Machine Learning Systems: Privacy Preservation & System Optimization

Feel free reach out for research, collaborations, or a casual chat. Also, please consider giving me anonymous feedback.

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

News

2024-05: Invited to serve as a reviewer for IEEE Transactions on Big Data.

2024-04: Present our work Dordis at ACM EuroSys 2024.

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.

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

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

IEEE TBD'23 Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies
Zhifeng Jiang, Wei Wang, Bo Li, Qiang Yang

ACM SoCC'22 Pisces: Efficient Federated Learning via Guided Asynchronous Training
Zhifeng Jiang, Wei Wang, Baochun Li, Bo Li

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

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

Journal Reviewer: IEEE Transactions on Mobile Computing, IEEE Transactions on Big Data

Shadow Program Committee: ACM EuroSys 2023

Artifact Evaluation Committee: USENIX OSDI 2022, USENIX ATC 2022, ACM SOSP 2021

Sub Reviewer: IEEE Transactions on Mobile Computing

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