Yiping Ma


Welcome to my homepage! I am a PhD student in computer science at UPenn where I'm very fortunate to be advised by Sebastian Angel and Tal Rabin. My research focuses on security and privacy, cryptography and computer systems. Part of my research is generously supported by a Microsoft Research PhD Fellowship.


Prior to UPenn, I completed my B.S. from Turing Program at Peking University in 2020.


See more for publications, talks and experience.


Publications

(by topic | by year)

Privacy-preserving systems and applications

Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning [paper, code]

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

IEEE Symposium on Security and Privacy (Oakland 2023)

Addax: A fast, private, and accountable ad exchange infrastructure [paper, code]

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

USENIX Symposium on Networked Systems Design and Implementation (NSDI 2023)

Ibex: Privacy-preserving ad conversion tracking and bidding [paper, code]

Ke Zhong, Yiping Ma, and Sebastian Angel

ACM Conference on Computer and Communications Security (CCS 2022)

Mycelium: Large-Scale Distributed Graph Queries with Differential Privacy [paper]

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

ACM Symposium on Operating Systems Principles (SOSP 2021)

Private information retrieval

Computationally Secure Aggregation and Private Information Retrieval in the Shuffle Model [paper]

Adrià Gascón, Yuval Ishai, Mahimna Kelkar, Baiyu Li, Yiping Ma, and Mariana Raykova

ACM Conference on Computer and Communications Security (CCS 2024)

Information-Theoretic Single-Server PIR in the Shuffle Model [paper]

Yuval Ishai, Mahimna Kelkar, Daniel Lee and Yiping Ma

Information-Theoretic Cryptography Conference (ITC 2024)

Incremental Offline/Online PIR [paper, code]

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

USENIX Security Symposium (USENIX Security 2022)

Secure computation and threshold cryptography

Secure Sorting and Selection via Function Secret Sharing

Amit Agarwal, Elette Boyle, Nishanth Chandran, Niv Gilboa, Divya Gupta, Yuval Ishai, Mahimna Kelkar, Yiping Ma

ACM Conference on Computer and Communications Security (CCS 2024)

Compressing Unit-Vector Correlations via Sparse Pseudorandom Generators

Amit Agarwal, Elette Boyle, Niv Gilboa, Yuval Ishai, Mahimna Kelkar, Yiping Ma

Annual International Cryptology Conference (Crypto 2024)

SPRINT: High-Throughput Robust Distributed Schnorr Signatures [paper]

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

Annual International Conference on the Theory and Applications of Cryptographic Techniques (Eurocrypt 2024)

Homomorphic encryption

PEGASUS: Bridging Polynomial and Non-polynomial Evaluations in Homomorphic Encryption [paper, code]

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

IEEE Symposium on Security and Privacy (Oakland 2021)

Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation [paper, code]

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

Talks

"Robust Secure Aggregation for Federated Learning with Input Validation"
    Berkeley Security Seminar, Berkeley, CA, October 2024
    Privacy-Preserving Machine Learning Workshop, Santa Barbara, CA, August 2024


"Recent Progress in Private Information Retrieval—Theory and Practice"
    AWS, New York, NY, August 2024


"SPRINT: High-Throughput Robust Distributed Schnorr Signatures"
    Eurocrypt, Zurich, Switzerland, May 2024 [slides, video]
    NY CryptoDay, New York, NY, May 2024


"Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning"
    AWS (virtual), February 2024
    CMU CyLab Crypto Seminar, Pittsburgh, PA, October 2023
    Privacy-Preserving Machine Learning Workshop, Santa Barbara, CA, August 2023
    NYU Cryptography and Security Seminar, New York, NY, July 2023
    IEEE S&P (Oakland), San Francisco, CA, May 2023 [slides, video]
    UMass Amherst Security Seminar (virtual), May 2023
    Microsoft Research (virtual), May 2023


"Single-Server Private Information Retrieval (and Secure Aggregation) in the Shuffle Model"
    ACM CCS, Salt Lake City, UT, October 2024 [slides for computational results]
    Northwestern University, Evanston, IL, October 2024 [slides combined for IT and computational results]
    PIR workshop, PETS (virtual), July 2024
    AlgoCRYPT Seminar, J.P. Morgan, New York, NY, June 2024
    NY CryptoDay, New York, NY, October 2022 [slides for IT results]


"Incremental Offline/Online PIR"
    AlgoCRYPT Seminar, J.P. Morgan, New York, NY, March 2023 [slides]
    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

I was lucky to visit and intern at multiple places during my study. In my PhD time, I spent a wonderful spring at Technion visiting Yuval Ishai. In the past summers, I interned at J.P. Morgan AI Research, hosted by Antigoni Polychroniadou. In my undergrad, I interned at Alibaba Gemini Lab (now Ant CP Lab) hosted by Cheng Hong, and I also spent a summer at EPFL via the fantastic Summer@EPFL program, where I was hosted by Jean-Pierre Hubaux.