2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CR2023
Exploring Unconfirmed Transactions for Effective Bitcoin Address Clustering
Kai Wang, Maike Tong, Changhao Wu +4
The development of clustering heuristics has demonstrated that Bitcoin is not completely anonymous. Currently, existing clustering heuristics only consider confirmed transactions r…
cs.CR2022★ 2 cited
Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy
Wenqiang Ruan, Mingxin Xu, Wenjing Fang +3
Secure multi-party computation-based machine learning, referred to as MPL, has become an important technology to utilize data from multiple parties with privacy preservation. While…