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Mingxun Zhou
Mingxun Zhou
Подтвержден адрес электронной почты в домене andrew.cmu.edu
Название
Процитировано
Процитировано
Год
SquirRL: Automating attack analysis on blockchain incentive mechanisms with deep reinforcement learning
C Hou, M Zhou, Y Ji, P Daian, F Tramer, G Fanti, A Juels
Network and Distributed Systems Security (NDSS) Symposium 2021, 2021
952021
Vacuum filters: more space-efficient and faster replacement for bloom and cuckoo filters
M Wang, M Zhou
Proceedings of the VLDB Endowment, 2019
682019
Piano: extremely simple, single-server PIR with sublinear server computation
M Zhou, A Park, W Zheng, E Shi
2024 IEEE Symposium on Security and Privacy (SP), 4296-4314, 2024
372024
Locally differentially private sparse vector aggregation
M Zhou, T Wang, THH Chan, G Fanti, E Shi
2022 IEEE Symposium on Security and Privacy (SP), 422-439, 2022
372022
Optimal single-server private information retrieval
M Zhou, WK Lin, Y Tselekounis, E Shi
Advances in Cryptology–EUROCRYPT 2023: 42nd Annual International Conference …, 2023
282023
Efficient pre-processing PIR without public-key cryptography
A Ghoshal, M Zhou, E Shi
Annual International Conference on the Theory and Applications of …, 2024
112024
A theory of composition for differential obliviousness
M Zhou, E Shi, THH Chan, S Maimon
Advances in Cryptology–EUROCRYPT 2023: 42nd Annual International Conference …, 2023
112023
Mercury: Fast Transaction Broadcast in High Performance Blockchain Systems
M Zhou, L Zeng, Y Han, P Li, F Long, D Zhou, I Beschastnikh, M Wu
IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 1-10, 2023
62023
Advanced composition theorems for differential obliviousness
M Zhou, M Zhao, THH Chan, E Shi
15th Innovations in Theoretical Computer Science Conference (ITCS 2024), 2024
22024
The Power of the Differentially Oblivious Shuffle in Distributed Privacy Mechanisms
M Zhou, E Shi
Cryptology ePrint Archive, 2022
22022
Conan: Distributed Proofs of Compliance for Anonymous Data Collection
M Zhou, G Fanti, E Shi
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and …, 2024
2024
Pacmann: Efficient Private Approximate Nearest Neighbor Search
M Zhou, E Shi, G Fanti
Cryptology ePrint Archive, 2024
2024
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