Féngrùn Liú

(she/her)

The IPA pronunciation of my Chinese name is close to /fəŋ rʊn/ /li̯oʊ/.
You can call me Fengrun or simply call me Fred.

About

I am a second-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, fortunate to be advised by Prof. Yu Yu.
Recently, I have been working on a project focused on generating SNARKs for FHE operations, under the supervision of Prof. Yuncong Hu and Dr. Xiang Xie. I've been having a good time!

I enjoy writing as it helps me deepen my understanding of what I'm learning.
To this day (2024/1/20), I have written 67 posts on my blog page and attracted over 23k visitors.

Here is my curriculum vitae (CV). You can reach me by email.

I will be applying for a PhD program this fall :)

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

selfie
Education
University of Science and Technology of China (USTC) M.S. in Cyberspace Security [transcript] Sep. 2022 – Expected Dec. 2024
University of Electronic Science and Technology of China (UESTC) B.Eng. in Software Engineering [transcript] Sep. 2018 – Jun. 2022
Publications

Scalable Multi-party Computation Protocols for Machine Learning in the Honest-Majority Setting [ paper ] [ code ]
Fengrun Liu, Xiang Xie, Yu Yu
USENIX Security 2024

Research Experience

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

 2022 - Jun. 2023
2. Generate SNARKs for FHE Operations Oct. 2023 – Present
     This project is currently ongoing. Please stay tuned for further updates.
Blog Series
Foundations of Cryptography (MIT 6.875) [blog link] en Lecture 1 - Lecture 17 [course link] by Vinod Vaikuntanathan
Zero Knowledge Proofs MOOC [blog link] en Lecture 4 - Lecture 7 [course link] by Dan Boneh, Shafi Goldwasser, Dawn Song,
Justin Thaler and Yupeng Zhang
Cryptography Course (on Coursera) [blog link] zh-CN Lecture 1 - Lecture 8 [course link] by Dan Boneh
MPC Lectures [blog link] zh-CN Lecture 1 - Lecture 3 [course link] by Mike Rosulek
Machine Learning [blog link] zh-CN Lecture 1 - Lecture 14 [course link] by Hung-yi Lee
Some Past Presentations
2024-06 [slides] en (AlgoCRYPT Seminar) Topic: Scalable and Efficient MPC for ML ref: paper
2023-09 [slides] en Topic: Spartan's sparse PCS and Lookup Singularity with Lasso ref: Lasso
2023-09 [slides] en Topic: Plookup and Batch-column Lookup (logUp) ref: plookup, logUp
2023-08 [slides] en Topic: Sumcheck for FFT ref: zkCNN
2022-05 [slides] zh-CN Undergraduate Graduation Defense
2021-04 [slides] en Topic: Fuzzing Technologies (AFL++) ref: AFL++