Privacy-Preserving Data Fusion
提出一种生成方法，让公司在客户分析中既能合并数据集，又能提供强隐私保障和接近最优的性能。
This paper proposes a generative methodology enabling companies to combine data sets with strong privacy guarantees and near-optimal performance in customer analytics.