Yiping Ma


Hi! I am a Ph.D. student studying computer science at University of Pennsylvania, where I'm fortunate to be advised by Sebastian Angel and Tal Rabin. I'm broadly interested in cryptography, security and privacy, and computer systems. I'm generously supported by a Microsoft Research PhD Fellowship.


Prior to UPenn, I completed my B.S. in 2020 at Peking University, where I graduated from Turing Class honors program.


Research Papers

SPRINT: High-Throughput Robust Distributed Schnorr Signatures

Fabrice Benhamouda, Shai Halevi, Hugo Krawczyk, Yiping Ma, and Tal Rabin

[paper]

Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning

Yiping Ma, Jess Woods, Sebastian Angel, Antigoni Polychroniadou, and Tal Rabin

IEEE S&P (Oakland) 2023 [paper, code]

Addax: A fast, private, and accountable ad exchange infrastructure

Ke Zhong, Yiping Ma, Yifeng Mao, and Sebastian Angel

NSDI 2023 [paper, code]

Ibex: Privacy-preserving ad conversion tracking and bidding

Ke Zhong, Yiping Ma, and Sebastian Angel

CCS 2022 [paper, code]

Incremental Offline/Online PIR

Yiping Ma, Ke Zhong, Tal Rabin, and Sebastian Angel

USENIX Security 2022 [paper, code]

Mycelium: Large-Scale Distributed Graph Queries with Differential Privacy

Edo Roth, Karan Newatia, Yiping Ma, Ke Zhong, Sebastian Angel, and Andreas Haeberlen

SOSP 2021 [paper]

PEGASUS: Bridging Polynomial and Non-polynomial Evaluations in Homomorphic Encryption

Wen-jie Lu, Zhicong Huang, Cheng Hong, Yiping Ma, and Hunter Qu

IEEE S&P (Oakland) 2021 [paper, code]

Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation

Miran Kim, Arif Ozgun Harmanci, Jean-Philippe Bossuat, Sergiu Carpov, Jung Hee Cheon, Ilaria Chillotti, Wonhee Cho, David Froelicher, Nicolas Gama, Mariya Georgieva, Seungwan Hong, Jean-Pierre Hubaux, Duhyeong Kim, Kristin Lauter, Yiping Ma, Lucila Ohno-Machado, Heidi Sofia, Yongha Son, Yongsoo Song, Juan Troncoso-Pastoriza, Xiaoqian Jiang

Cell Systems, Cell Press, 2021 [paper, code]

Talks

"Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning"
    Privacy-Preserving Machine Learning Workshop, Santa Barbara, CA, August 2023
    NYU, New York, NY, July 2023
    IEEE S&P (Oakland), San Francisco, CA, May 2023 [slides, video]
    Security Seminar, UMass Amherst (virtual), May 2023
    Microsoft Research (virtual), May 2023


"Single-Server Private Information Retrieval in the Shuffle Model"
    NY CryptoDay, New York, NY, October 2022


"Incremental Offline/Online PIR"
    AlgoCRYPT Seminar, J.P. Morgan, NY, March 2023
    UPenn Theory Seminar, Philadelphia, PA, February 2023
    UPenn Distributed Systems Seminar, Philadelphia, PA, November 2022
    MIT Security Seminar, Boston, MA, November 2022
    USENIX Security Symposium, Boston, MA, August 2022 [slides, video]
    Technion Crypto Seminar, Haifa, Israel, May 2022
    FACT Seminar, Herzliya, Israel, April 2022

Experience

In summer 2023, I worked as an associate at J.P. Morgan, hosted by Antigoni Polychroniadou. In spring 2022, I visited Yuval Ishai at Technion. In summer 2020, I worked as a security engineer at Alibaba Gemini Lab, hosted by Cheng Hong. In summer 2019, I did an internship via Summer@EPFL program, hosted by Jean-Pierre Hubaux.