论文标题
安全与隐私
Security Versus Privacy
论文作者
论文摘要
线性查询可以提交到包含私人数据的服务器。服务器提供了使用加法噪声系统损坏查询的响应，以保留数据存储在服务器上的人的隐私。隐私的度量与Fisher信息矩阵的痕迹成反比。假定对手可以向响应注入错误的偏见。安全性的度量是捕获错误数据注入的易于性的，是kullback-leiber差异对添加剂偏见的敏感性。提出并解决了平衡隐私和安全性的优化问题。结果表明，保证隐私时间的级别安全级别的安全级别等于一个常数。因此，通过提高隐私水平，安全保证只能削弱，反之亦然。在不同的隐私框架下开发了类似的结果。
Linear queries can be submitted to a server containing private data. The server provides a response to the queries systematically corrupted using an additive noise to preserve the privacy of those whose data is stored on the server. The measure of privacy is inversely proportional to the trace of the Fisher information matrix. It is assumed that an adversary can inject a false bias to the responses. The measure of the security, capturing the ease of detecting the presence of the false data injection, is the sensitivity of the Kullback-Leiber divergence to the additive bias. An optimization problem for balancing privacy and security is proposed and subsequently solved. It is shown that the level of guaranteed privacy times the level of security equals a constant. Therefore, by increasing the level of privacy, the security guarantees can only be weakened and vice versa. Similar results are developed under the differential privacy framework.
