VPAS: Publicly Verifiable and Privacy-Preserving Aggregate Statistics on Distributed Datasets

arXiv:2403.15208v1 Announce Type: new
Abstract: Aggregate statistics play an important role in extracting meaningful insights from distributed data while preserving privacy. A growing number of application domains, such as healthcare, utilize these statistics in advancing research and improving patient care.
In this work, we explore the challenge of input validation and public verifiability within privacy-preserving aggregation protocols. We address the scenario in which a party receives data from multiple sources and must verify the validity of the input and correctness …

application arxiv care challenge cs.cr data datasets distributed domains healthcare important input input validation insights meaningful patient care play privacy research role statistics validation work