| 2026 | SP | ZELDA: Efficient Multi-Server Preprocessing PIR With Unconditional Security. | Ashrujit Ghoshal, Mingxun Zhou, Bo Peng, Elaine Shi |
| 2025 | EuroCrypt | Pseudorandom Functions with Weak Programming Privacy and Applications to Private Information Retrieval. | Ashrujit Ghoshal, Mingxun Zhou, Elaine Shi, Bo Peng |
| 2025 | ICLR | Pacmann: Efficient Private Approximate Nearest Neighbor Search. | Mingxun Zhou, Elaine Shi, Giulia Fanti |
| 2024 | CCS | Conan: Distributed Proofs of Compliance for Anonymous Data Collection. | Mingxun Zhou, Giulia Fanti, Elaine Shi |
| 2024 | EuroCrypt | Efficient Pre-processing PIR Without Public-Key Cryptography. | Ashrujit Ghoshal, Mingxun Zhou, Elaine Shi |
| 2024 | SP | Piano: Extremely Simple, Single-Server PIR with Sublinear Server Computation. | Mingxun Zhou, Andrew Park, Wenting Zheng, Elaine Shi |
| 2023 | EuroCrypt | Optimal Single-Server Private Information Retrieval. | Mingxun Zhou, Wei-Kai Lin, Yiannis Tselekounis, Elaine Shi |
| 2023 | EuroCrypt | A Theory of Composition for Differential Obliviousness. | Mingxun Zhou, Elaine Shi, T.-H. Hubert Chan, Shir Maimon |
| 2023 | INFOCOM | Mercury: Fast Transaction Broadcast in High Performance Blockchain Systems. | Mingxun Zhou, Liyi Zeng, Yilin Han, Peilun Li, Fan Long, Dong Zhou, Ivan Beschastnikh, Ming Wu |
| 2022 | SP | Locally Differentially Private Sparse Vector Aggregation. | Mingxun Zhou, Tianhao Wang, T.-H. Hubert Chan, Giulia Fanti, Elaine Shi |
| 2021 | NDSS | SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning. | Charlie Hou, Mingxun Zhou, Yan Ji, Phil Daian, Florian Tramr, Giulia Fanti, Ari Juels |