4 papers
Label Inference Attacks against Federated Unlearning
Wei Wang, Xiangyun Tang, Yajie Wang +5
Federated Unlearning (FU) has emerged as a promising solution to respond to the right to be forgotten of clients, by allowing clients to erase their data from global models without…
Correlating Account on Ethereum Mixing Service via Domain-Invariant feature learning
Zheng Che, Taoyu Li, Meng Shen +2
The untraceability of transactions facilitated by Ethereum mixing services like Tornado Cash poses significant challenges to blockchain security and financial regulation. Existing…
Across-Platform Detection of Malicious Cryptocurrency Transactions via Account Interaction Learning
Zheng Che, Meng Shen, Zhehui Tan +6
With the rapid evolution of Web3.0, cryptocurrency has become a cornerstone of decentralized finance. While these digital assets enable efficient and borderless financial transacti…
EVeCA: Efficient and Verifiable On-Chain Data Query Framework Using Challenge-Based Authentication
Meng Shen, Yuzhi Liu, Qinglin Zhao +4
As blockchain applications become increasingly widespread, there is a rising demand for on-chain data queries. However, existing schemes for on-chain data queries face a challenge…