Mingxun Zhou

According to our database, Mingxun Zhou authored at least 21 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

KBF: Knowledge Boundary as Fingerprint for Language Model and Black-Box API Auditing.

Yijia Fang, Yiqing Feng, Bingyu Li, Mingxun Zhou

CoRR, May, 2026

SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness.

Jiahao Huo, Wenjie Qu, Yibo Yan, Kening Zheng, Jiaheng Zhang, Xuming Hu, Philip S. Yu, Mingxun Zhou

CoRR, May, 2026

Bifrost: A Much Simpler Secure Two-Party Data Join Protocol for Secure Data Analytics.

Shuyu Chen, Mingxun Zhou, Haoyu Niu, Guopeng Lin, Weili Han

Proc. VLDB Endow., February, 2026

2025

MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution.

Sara Patel, Mingxun Zhou, Giulia Fanti

CoRR, December, 2025

PMark: Towards Robust and Distortion-free Semantic-level Watermarking with Channel Constraints.

Jiahao Huo, Shuliang Liu, Bin Wang, Junyan Zhang, Yibo Yan, Aiwei Liu, Xuming Hu, Mingxun Zhou

CoRR, September, 2025

Zelda: Efficient Multi-server Preprocessing PIR with Unconditional Security.

Ashrujit Ghoshal, Mingxun Zhou, Bo Peng, Elaine Shi

IACR Cryptol. ePrint Arch., 2025

Pacmann: Efficient Private Approximate Nearest Neighbor Search.

Mingxun Zhou, Elaine Shi, Giulia Fanti

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Pseudorandom Functions with Weak Programming Privacy and Applications to Private Information Retrieval.

Ashrujit Ghoshal, Mingxun Zhou, Elaine Shi, Bo Peng

Proceedings of the Advances in Cryptology - EUROCRYPT 2025, 2025

2024

Piano: Extremely Simple, Single-Server PIR with Sublinear Server Computation.

Mingxun Zhou, Andrew Park, Wenting Zheng, Elaine Shi

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Advanced Composition Theorems for Differential Obliviousness.

Mingxun Zhou, Mengshi Zhao, T.-H. Hubert Chan, Elaine Shi

Proceedings of the 15th Innovations in Theoretical Computer Science Conference, 2024

Efficient Pre-processing PIR Without Public-Key Cryptography.

Ashrujit Ghoshal, Mingxun Zhou, Elaine Shi

Proceedings of the Advances in Cryptology - EUROCRYPT 2024, 2024

Conan: Distributed Proofs of Compliance for Anonymous Data Collection.

Mingxun Zhou, Giulia Fanti, Elaine Shi

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Proof of Compliance for Anonymous, Unlinkable Messages.

Mingxun Zhou, Elaine Shi, Giulia Fanti

IACR Cryptol. ePrint Arch., 2023

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

Proceedings of the IEEE INFOCOM 2023, 2023

A Theory of Composition for Differential Obliviousness.

Mingxun Zhou, Elaine Shi, T.-H. Hubert Chan, Shir Maimon

Proceedings of the Advances in Cryptology - EUROCRYPT 2023, 2023

Optimal Single-Server Private Information Retrieval.

Mingxun Zhou, Wei-Kai Lin, Yiannis Tselekounis, Elaine Shi

Proceedings of the Advances in Cryptology - EUROCRYPT 2023, 2023

2022

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

Mingxun Zhou, Elaine Shi

IACR Cryptol. ePrint Arch., 2022

Locally Differentially Private Sparse Vector Aggregation.

Mingxun Zhou, Tianhao Wang, T.-H. Hubert Chan, Giulia Fanti, Elaine Shi

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

2021

SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning.

Charlie Hou, Mingxun Zhou, Yan Ji, Phil Daian, Florian Tramèr, Giulia Fanti, Ari Juels

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.

Minmei Wang, Mingxun Zhou, Shouqian Shi, Chen Qian

Proc. VLDB Endow., 2019

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

Charlie Hou, Mingxun Zhou, Yan Ji, Phil Daian, Florian Tramèr, Giulia Fanti, Ari Juels

CoRR, 2019