Mingxun Zhou

Orcid: 0000-0001-6034-9245

According to our database1, Mingxun Zhou authored at least 17 papers between 2019 and 2025.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
PMark: Towards Robust and Distortion-free Semantic-level Watermarking with Channel Constraints.
CoRR, September, 2025

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

Pacmann: Efficient Private Approximate Nearest Neighbor Search.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Pseudorandom Functions with Weak Programming Privacy and Applications to Private Information Retrieval.
Proceedings of the Advances in Cryptology - EUROCRYPT 2025, 2025

2024
Piano: Extremely Simple, Single-Server PIR with Sublinear Server Computation.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

Advanced Composition Theorems for Differential Obliviousness.
Proceedings of the 15th Innovations in Theoretical Computer Science Conference, 2024

Efficient Pre-processing PIR Without Public-Key Cryptography.
Proceedings of the Advances in Cryptology - EUROCRYPT 2024, 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
Proof of Compliance for Anonymous, Unlinkable Messages.
IACR Cryptol. ePrint Arch., 2023

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

A Theory of Composition for Differential Obliviousness.
Proceedings of the Advances in Cryptology - EUROCRYPT 2023, 2023

Optimal Single-Server Private Information Retrieval.
Proceedings of the Advances in Cryptology - EUROCRYPT 2023, 2023

2022
The Power of the Differentially Oblivious Shuffle in Distributed Privacy Mechanisms.
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


  Loading...