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.
Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning [paper, code]
IEEE Symposium on Security and Privacy (Oakland 2023)
Addax: A fast, private, and accountable ad exchange infrastructure [paper, code]
USENIX Symposium on Networked Systems Design and Implementation (NSDI 2023)
Ibex: Privacy-preserving ad conversion tracking and bidding [paper, code]
ACM Conference on Computer and Communications Security (CCS 2022)
Mycelium: Large-Scale Distributed Graph Queries with Differential Privacy [paper]
ACM Symposium on Operating Systems Principles (SOSP 2021)
Computationally Secure Aggregation and Private Information Retrieval in the Shuffle Model [paper]
ACM Conference on Computer and Communications Security (CCS 2024)
Information-Theoretic Single-Server PIR in the Shuffle Model [paper]
Information-Theoretic Cryptography Conference (ITC 2024)
Incremental Offline/Online PIR [paper, code]
USENIX Security Symposium (USENIX Security 2022)
Secure Sorting and Selection via Function Secret Sharing
ACM Conference on Computer and Communications Security (CCS 2024)
Compressing Unit-Vector Correlations via Sparse Pseudorandom Generators
Annual International Cryptology Conference (Crypto 2024)
SPRINT: High-Throughput Robust Distributed Schnorr Signatures [paper]
Annual International Conference on the Theory and Applications of Cryptographic Techniques (Eurocrypt 2024)
PEGASUS: Bridging Polynomial and Non-polynomial Evaluations in Homomorphic Encryption [paper, code]
IEEE Symposium on Security and Privacy (Oakland 2021)
Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation [paper, code]
Cell Systems, Cell Press, 2021
"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
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.