1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CR2023
Differentially Private Numerical Vector Analyses in the Local and Shuffle Model
Shaowei Wang, Jin Li, Yuntong Li +2
Numerical vector aggregation plays a crucial role in privacy-sensitive applications, such as distributed gradient estimation in federated learning and statistical analysis of key-v…
cs.CR2023★ 1 cited
Privacy Amplification via Shuffling: Unified, Simplified, and Tightened
Shaowei Wang, Yun Peng, Jin Li +5
The shuffle model of differential privacy provides promising privacy-utility balances in decentralized, privacy-preserving data analysis. However, the current analyses of privacy a…