真实线性回归Truthful Linear Regression |
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课程网址: | https://videolectures.net/videos/colt2015_cummings_linear_regress... |
主讲教师: | Rachel Cummings |
开课单位: | 信息不详。欢迎您在右侧留言补充。 |
开课时间: | 2025-02-04 |
课程语种: | 英语 |
中文简介: | 我们考虑将线性模型拟合到关心其隐私的个人持有的数据的问题。激励大多数玩家向分析师如实报告他们的数据限制了我们的设计机制,即为参与者提供隐私保障;我们使用差分隐私来模拟个人隐私损失。这立即产生了一个问题,因为线性模型的差分私有计算必然产生有偏估计,并且现有的设计机制从隐私敏感的个体中提取数据的方法不能很好地推广到有偏估计。我们设法克服这一挑战,通过适当的设计计算和支付方案。 |
课程简介: | We consider the problem of fitting a linear model to data held by individuals who are concerned about their privacy. Incentivizing most players to report their data to the analyst truthfully constrains our design to mechanisms that provide a privacy guarantee to the participants; we use differentially privacy to model individuals' privacy losses. This immediately poses a problem, as differentially private computation of a linear model necessarily produces a biased estimation, and existing approaches to design mechanisms to elicit data from privacy-sensitive individuals do not generalize well to biased estimators. We manage to overcome this this challenge, through appropriate design of the computation and payment scheme. |
关 键 词: | 线性模型; 隐私保障; 设计机制 |
课程来源: | 视频讲座网 |
数据采集: | 2025-03-23:zsp |
最后编审: | 2025-03-23:zsp |
阅读次数: | 7 |