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Féngrùn Liú

(she/her)

I go by Fengrun or Freya.
My Chinese name, Fengrun, is pronounced approximately as /fəŋ rʊn/.

About

I am a third-year master's student at USTC. My research interests lie broadly in cryptography, especially zero-knowledge proofs (ZKP) and secure multi-party computation (MPC). I am a research intern at Shanghai Qi Zhi Institute, where I have the privilege of being advised by Prof. Yu Yu.

I am applying for a PhD program this fall :)

In 09/2023, my first lead-authored paper on MPC protocols tailored for privacy-preserving machine learning (PPML) was accepted at USENIX Security 2024.
In 11/2024, my next first-authored paper on generating SNARG for FHE bootstrapping was submitted to Security and Privacy 2025.
I’ve greatly enjoyed being supervised by Prof. Yuncong Hu and Dr. Xiang Xie.

I enjoy writing as it helps me deepen my understanding of the topics I'm exploring.
As of 10/2024, I have written 67 posts on my blog and attracted over 30k visitors.

In addition to my academic work, I enjoy cooking. The autonomy of the cooking process and the ownership of the final outcomes (aka delicious food) bring me a lot of joy.

Here is my curriculum vitae (CV), updated as of 2024/11/27. You can reach me by email.

Email: or fengrun.liu@gmail.com or fredliu@mail.ustc.edu.cn

selfie
Education
University of Science and Technology of China (USTC) M.Eng. in Cyberspace Security [transcript] 2022 – Expected 2025
University of Electronic Science and Technology of China (UESTC) B.Eng. in Software Engineering [transcript] 2018 – 2022
Publications

Scalable Multi-party Computation Protocols for Machine Learning in the Honest-Majority Setting [ paper ] [ code ] [ video ]
Fengrun Liu, Xiang Xie, Yu Yu
USENIX Security 2024 (Accepted in 09/2023)

HasteBoots: Proving FHE Bootstrapping in Seconds
Fengrun Liu, Haofei Liang, Tianyu Zhang, Yuncong Hu, Xiang Xie, Haisheng Tan, Yu Yu
(Under review at S&P 2025)

Research Experience

1. MPC Protocols Tailored for Privacy-preserving Machine Learning (PPML)

2022 - Jun. 2023
2. Generate Publicly Verifiable SNARGs for FHE Operations Oct. 2023 – Present
     This work is under review at Security and Privacy 2025.