activity
20142023
most citedDeconstructing Blockchains: A Comprehensive Survey on Consensus, Membership and Structure

67 citations · 225 across the 17 of their papers we have counts for

collaborators
Showing cs.CRShow all

10 papers · 1 filter

cs.CR2022★ 3 cited

FTX Collapse: A Ponzi Story

Shange Fu, Qin Wang, Jiangshan Yu +1

FTX used to be the third-largest centralised exchange (CEX) in crypto markets, managing over $10B in daily trading volume before its downfall. Such a giant, however, failed to avo…

cs.CR2022

Leveraging the Verifier's Dilemma to Double Spend in Bitcoin

Tong Cao, Jérémie Decouchant, Jiangshan Yu

We describe and analyze perishing mining, a novel block-withholding mining strategy that lures profit-driven miners away from doing useful work on the public chain by releasing blo…

cs.CR2022

A Referable NFT Scheme

Qin Wang, Guangsheng Yu, Shange Fu +3

Existing NFTs confront restrictions of \textit{one-time incentive} and \textit{product isolation}. Creators cannot obtain benefits once having sold their NFT products due to the la…

cs.CR2020★ 5 cited

Verifiable Observation of Permissioned Ledgers

Ermyas Abebe, Yining Hu, Allison Irvin +4

Permissioned ledger technologies have gained significant traction over the last few years. For practical reasons, their applications have focused on transforming narrowly scoped us…

cs.CR2020

SoK: Diving into DAG-based Blockchain Systems

Qin Wang, Jiangshan Yu, Shiping Chen +1

Blockchain plays an important role in cryptocurrency markets and technology services. However, limitations on high latency and low scalability retard their adoptions and applicatio…

cs.CR2020★ 1 cited

Characterizing Erasable Accounts in Ethereum

Xiaoqi Li, Ting Chen, Xiapu Luo +1

Being the most popular permissionless blockchain that supports smart contracts, Ethereum allows any user to create accounts on it. However, not all accounts matter. For example, th…

cs.CR2020★ 31 cited

How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning

Lingjuan Lyu, Yitong Li, Karthik Nandakumar +2

This paper firstly considers the research problem of fairness in collaborative deep learning, while ensuring privacy. A novel reputation system is proposed through digital tokens a…

cs.CR2019★ 45 cited

Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A Survey

Purathani Praitheeshan, Lei Pan, Jiangshan Yu +2

Smart contracts are software programs featuring both traditional applications and distributed data storage on blockchains. Ethereum is a prominent blockchain platform with the supp…

cs.CR2019

Towards Fair and Privacy-Preserving Federated Deep Models

Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar +5

The current standalone deep learning framework tends to result in overfitting and low utility. This problem can be addressed by either a centralized framework that deploys a centra…

cs.CR2014★ 57 cited

DTKI: a new formalized PKI with no trusted parties

Jiangshan Yu, Vincent Cheval, Mark Ryan

The security of public key validation protocols for web-based applications has recently attracted attention because of weaknesses in the certificate authority model, and consequent…