Research Interests
I am interested in privacy-preserving algorithm design, including secure computation and differential privacy. I am also interested in blockchain.Education
I received my B.S. in Computer Science from Peking University.Publications
- M. Zhou, T. Wang, T-H. Chan, G. Fanti, and E. Shi. Locally Differentially Private Sparse Vector Aggregation, S&P 2022.
C. Hou*, M. Zhou*, Y. Ji, P. Daian, F. Tramer, G. Fanti, and A. Juels. SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning, NDSS 2021.[code]
*Equal contribution.M. Wang*, M. Zhou*, S. Shi, and C. Qian. Vacuum Filters: More Space-Efficient and Faster Replacement for Bloom and Cuckoo Filters, VLDB 2020. [code]
*Equal contribution.
Preprints/Other Projects
- M. Zhou, W. Lin, Y. Tselekounis, and E. Shi. Optimal Single-Server Private Information Retrieval (randomized author order).
- M. Zhou, and E. Shi. The Power of the Differentially Oblivious Shuffle in Distributed Privacy Mechanisms (presentation for the non-archival track of FORC 2022).
Mercury: Fast Transaction Broadcast in High Performance Blockchain System.
VRecon: An Efficient Set Reconciliation Algorithm, Bachelor Thesis.
Others
- If you find difficulty pronouncing my name, it is similar to "Ming-Shwin Joel" :)