Mingxun Zhou

Orcid: 0000-0001-6034-9245

According to our database1, Mingxun Zhou authored at least 16 papers between 2019 and 2025.

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Bibliography

2025
Pseudorandom Functions with Weak Programming Privacy and Applications to Private Information Retrieval.
IACR Cryptol. ePrint Arch., 2025

Zelda: Efficient Multi-server Preprocessing PIR with Unconditional Security.
IACR Cryptol. ePrint Arch., 2025

2024
Pacmann: Efficient Private Approximate Nearest Neighbor Search.
IACR Cryptol. ePrint Arch., 2024

Conan: Distributed Proofs of Compliance for Anonymous Data Collection.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023
Advanced Composition Theorems for Differential Obliviousness.
IACR Cryptol. ePrint Arch., 2023

Proof of Compliance for Anonymous, Unlinkable Messages.
IACR Cryptol. ePrint Arch., 2023

Piano: Extremely Simple, Single-Server PIR with Sublinear Server Computation.
IACR Cryptol. ePrint Arch., 2023

Efficient Pre-processing PIR Without Public-Key Cryptography.
IACR Cryptol. ePrint Arch., 2023

Mercury: Fast Transaction Broadcast in High Performance Blockchain Systems.
Proceedings of the IEEE INFOCOM 2023, 2023

2022
A Theory of Composition for Differential Obliviousness.
IACR Cryptol. ePrint Arch., 2022

The Power of the Differentially Oblivious Shuffle in Distributed Privacy Mechanisms.
IACR Cryptol. ePrint Arch., 2022

Optimal Single-Server Private Information Retrieval.
IACR Cryptol. ePrint Arch., 2022

Locally Differentially Private Sparse Vector Aggregation.
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

2021
SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning.
Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

2019
Vacuum Filters: More Space-Efficient and Faster Replacement for Bloom and Cuckoo Filters.
Proc. VLDB Endow., 2019

SquirRL: Automating Attack Discovery on Blockchain Incentive Mechanisms with Deep Reinforcement Learning.
CoRR, 2019


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