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Feb, 2016
线性查询处理的凸优化在近似差分隐私下的应用
Optimal Linear Aggregate Query Processing under Approximate Differential Privacy
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Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao
TL;DR
通过解决凸优化问题,利用Newton方法能够找到基于(Ε,δ)差分隐私下的合适策略,以计算数据的相关聚合,从而提高结果准确度。
Abstract
differential privacy
enables organizations to collect accurate aggregates over sensitive data with strong, rigorous guarantees on individuals' privacy. Previous work has found that under
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