activity
20192024
most citedSteemOps: Extracting and Analyzing Key Operations in Steemit Blockchain-based Social Media Platform

22 citations · 73 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CR2024

T-Watch: Towards Timed Execution of Private Transaction in Blockchains

Chao Li, Balaji Palanisamy

In blockchains such as Bitcoin and Ethereum, transactions represent the primary mechanism that the external world can use to trigger a change of blockchain state. Transactions serv…

cs.CR2023★ 1 cited

How Hard is Takeover in DPoS Blockchains? Understanding the Security of Coin-based Voting Governance

Chao Li, Balaji Palanisamy, Runhua Xu +3

Delegated-Proof-of-Stake (DPoS) blockchains, such as EOSIO, Steem and TRON, are governed by a committee of block producers elected via a coin-based voting system. We recently witne…

cs.CR2023★ 9 cited

Cross-Consensus Measurement of Individual-level Decentralization in Blockchains

Chao Li, Balaji Palanisamy, Runhua Xu +1

Decentralization is widely recognized as a crucial characteristic of blockchains that enables them to resist malicious attacks such as the 51% attack and the takeover attack. Prior…

cs.CR2021★ 22 cited

SteemOps: Extracting and Analyzing Key Operations in Steemit Blockchain-based Social Media Platform

Chao Li, Balaji Palanisamy, Runhua Xu +2

Advancements in distributed ledger technologies are driving the rise of blockchain-based social media platforms such as Steemit, where users interact with each other in similar way…

cs.CR2021★ 10 cited

Measuring Decentralization in Bitcoin and Ethereum using Multiple Metrics and Granularities

Qinwei Lin, Chao Li, Xifeng Zhao +1

Decentralization has been widely acknowledged as a core virtue of blockchains. However, in the past, there have been few measurement studies on measuring and comparing the actual l…

cs.LG2020★ 10 cited

NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-Sourced Datasets

Runhua Xu, James Joshi, Chao Li

Training a machine learning model over an encrypted dataset is an existing promising approach to address the privacy-preserving machine learning task, however, it is extremely chal…