EDBT 2026 Demo / reviewers in the wild / expert
Xuanji Meng
dblp:336/5377
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 2 since 2021Security and privacy · 2 · 1 first-author · 2 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
2 papers |
Cryptographic protocols and secure computation · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Distributed systems · 100% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cryptographic protocols and secure computation › key management
distributed key generation |
0.9 | 1 | 2025 | Everything Distributed and Asynchronous: A Practical System for Key Management Service · IEEE Trans. Parallel Distributed Syst. 2025 |
Cryptographic protocols and secure computation
key management |
0.9 | 1 | 2025 | Everything Distributed and Asynchronous: A Practical System for Key Management Service · IEEE Trans. Parallel Distributed Syst. 2025 |
Cryptographic protocols and secure computation › distributed randomness
randomness beacon |
0.9 | 1 | 2025 | Rondo: Scalable and Reconfiguration-Friendly Randomness Beacon · NDSS 2025 |
Distributed systems
distributed coordination |
0.9 | 1 | 2025 | Everything Distributed and Asynchronous: A Practical System for Key Management Service · IEEE Trans. Parallel Distributed Syst. 2025 |
Distributed systems › distributed algorithms
distributed randomness |
0.9 | 1 | 2025 | Rondo: Scalable and Reconfiguration-Friendly Randomness Beacon · NDSS 2025 |
Distributed systems
fault tolerance |
0.9 | 1 | 2025 | Rondo: Scalable and Reconfiguration-Friendly Randomness Beacon · NDSS 2025 |
Cryptographic protocols and secure computation
secure multiparty computation |
0.3 | 1 | 2025 | Everything Distributed and Asynchronous: A Practical System for Key Management Service · IEEE Trans. Parallel Distributed Syst. 2025 |
Methods — techniques the papers use, named apart from their topics
reconfiguration · 1.7asynchronous distributed key refresh · 1.7asynchronous distributed key generation · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Rondo: Scalable and Reconfiguration-Friendly Randomness Beacon
Xuanji Meng, Zhaoxin Yang, Kang Rong, Wenbo Xu 0002, Shenglong Chen, Ying Yan 0002, Sisi Duan |
NDSS | 1 |
| 2025 | Everything Distributed and Asynchronous: A Practical System for Key Management ServiceabstractA key management service (KMS) is vital to modern mission-critical systems. At the core of KMS are the key generation process and the key refresh process. In this paper, we design and implement a purely asynchronous system for completely distributed KMS supporting traditional applications such as threshold cryptosystems and multiparty computation (MPC) as well as emerging blockchains and Web3 applications. In this system, we have built a number of new asynchronous distributed key generation (ADKG) protocols and their corresponding asynchronous distributed key refresh (ADKR) protocols. We have demonstrated that our ADKG and ADKR protocols in the standard model outperform existing ones of the same kind, while our protocols in the random oracle model (ROM) are more efficient than other protocols with small and medium-sized networks. Zhaoyang Xie, Sisi Duan, Chao Liu 0039, Shengli Liu 0001, Xuanji Meng, Yong Yu 0002, Fangguo Zhang, Boxin Zhao, Liehuang Zhu, Tianqing Zhu |
IEEE Trans. Parallel Distributed Syst. | 6 |
| 2023 | Practical Asynchronous Distributed Key Generation: Improved Efficiency, Weaker Assumption, and Standard ModelabstractDistributed key generation (DKG) allows bootstrapping threshold cryptosystems without relying on a trusted party, nowadays enabling fully decentralized applications in blockchains and multiparty computation (MPC). While we have recently seen new advancements for asynchronous DKG (ADKG) protocols, their performance remains the bottleneck for many applications, with only one protocol being implemented (DYX+ ADKG, IEEE S&P 2022). DYX+ ADKG relies on the Decisional Composite Residuosity assumption (being expensive to instantiate) and the Decisional Diffie-Hellman assumption, incurring a high latency (more than 100s with a failure threshold of 16). Moreover, the security of DYX+ ADKG is based on the random oracle model (ROM) which takes hash function as an ideal function; assuming the existence of random oracle is a strong assumption, and up to now, we cannot find any theoretically-sound implementation. Furthermore, the ADKG protocol needs public key infrastructure (PKI) to support the trustworthiness of public keys. The strong models (ROM and PKI) further limit the applicability of DYX+ ADKG, as they would add extra and strong assumptions to underlying threshold cryptosystems. For instance, if the original threshold cryptosystem works in the standard model, then the system using DYX+ ADKG would need to use ROM and PKI. In this paper, we design and implement a modular ADKG protocol that offers improved efficiency and stronger security guarantees. We explore a novel and much more direct reduction from ADKG to the underlying blocks, reducing the computational overhead and communication rounds of ADKG in the normal case. Our protocol works for both the low-threshold and high-threshold scenarios, being secure under the standard assumption (the well-established discrete logarithm assumption only) in the standard model (no trusted setup, ROM, or PKI). Sisi Duan, Chao Liu 0039, Boxin Zhao, Xuanji Meng, Shengli Liu 0001, Yong Yu 0002, Fangguo Zhang, Liehuang Zhu |
DSN | 5 |