58 citations · 184 across the 35 of their papers we have counts for
10 papers · 1 filter
FileDAG: A Multi-Version Decentralized Storage Network Built on DAG-based Blockchain
Hechuan Guo, Minghui Xu, Jiahao Zhang +4
Decentralized Storage Networks (DSNs) can gather storage resources from mutually untrusted providers and form worldwide decentralized file systems. Compared to traditional storage…
Cross-Channel: Scalable Off-Chain Channels Supporting Fair and Atomic Cross-Chain Operations
Yihao Guo, Minghui Xu, Dongxiao Yu +3
Cross-chain technology facilitates the interoperability among isolated blockchains on which users can freely communicate and transfer values. Existing cross-chain protocols suffer…
AccEar: Accelerometer Acoustic Eavesdropping with Unconstrained Vocabulary
Pengfei Hu, Hui Zhuang, Panneer Selvam Santhalingamy +4
With the increasing popularity of voice-based applications, acoustic eavesdropping has become a serious threat to users' privacy. While on smartphones the access to microphones nee…
Federated Learning Hyper-Parameter Tuning from a System Perspective
Huanle Zhang, Lei Fu, Mi Zhang +4
Federated learning (FL) is a distributed model training paradigm that preserves clients' data privacy. It has gained tremendous attention from both academia and industry. FL hyper-…
Proof of User Similarity: the Spatial Measurer of Blockchain
Shengling Wang, Lina Shi, Hongwei Shi +3
Although proof of work (PoW) consensus dominates the current blockchain-based systems mostly, it has always been criticized for the uneconomic brute-force calculation. As alternati…
A Trustless Architecture of Blockchain-enabled Metaverse
Minghui Xu, Yihao Guo, Qin Hu +3
Metaverse has rekindled human beings' desire to further break space-time barriers by fusing the virtual and real worlds. However, security and privacy threats hinder us from buildi…
DP2-Pub: Differentially Private High-Dimensional Data Publication with Invariant Post Randomization
Honglu Jiang, Haotian Yu, Xiuzhen Cheng +3
A large amount of high-dimensional and heterogeneous data appear in practical applications, which are often published to third parties for data analysis, recommendations, targeted…
zk-PCN: A Privacy-Preserving Payment Channel Network Using zk-SNARKs
Wenxuan Yu, Minghui Xu, Dongxiao Yu +3
Payment channel network (PCN) is a layer-two scaling solution that enables fast off-chain transactions but does not involve on-chain transaction settlement. PCNs raise new privacy…
Online Learning for Failure-aware Edge Backup of Service Function Chains with the Minimum Latency
Chen Wang, Qin Hu, Dongxiao Yu +1
Virtual network functions (VNFs) have been widely deployed in mobile edge computing (MEC) to flexibly and efficiently serve end users running resource-intensive applications, which…
SPDL: Blockchain-secured and Privacy-preserving Decentralized Learning
Minghui Xu, Zongrui Zou, Ye Cheng +3
Decentralized learning involves training machine learning models over remote mobile devices, edge servers, or cloud servers while keeping data localized. Even though many studies h…