(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. 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 |
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 |
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)
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. |
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 |
2024-10 | [slides] | zh-CN | (Ant Group’s SecretFlow Live) Topic: Scalable and Efficient MPC for ML | ref: paper |
2024-08 | [slides] | en | (USENIX Security '24') Topic: Scalable Multi-Party Computation Protocols for Machine Learning in the Honest-Majority Setting | ref: paper |
2024-06 | [slides] | en | (J.P. Morgan's 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++ |