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机译:关于隐私保留负面调查(NS)算法的准确性和匿名性
The Holcombe Department of Electrical and Computer Engineering Clemson University Riggs Hall Clemson South Carolina 29634 USA;
The Holcombe Department of Electrical and Computer Engineering Clemson University Riggs Hall Clemson South Carolina 29634 USA;
The Holcombe Department of Electrical and Computer Engineering Clemson University Riggs Hall Clemson South Carolina 29634 USA;
The Holcombe Department of Electrical and Computer Engineering Clemson University Riggs Hall Clemson South Carolina 29634 USA;
The Holcombe Department of Electrical and Computer Engineering Clemson University Riggs Hall Clemson South Carolina 29634 USA;
Individual user anonymity (IUA); Estimate accuracy; Negative survey (NS); Multi-negative survey (MNS); Two-question negative survey (TQNS);
机译:用于提高基于负调查的云数据隐私准确性的多负调查方法:应用程序和扩展
机译:移动自组织网络中寻找会合点的隐私保护算法的研究
机译:基于匿名的参与式感知隐私保护数据报告
机译:多负调查方法提高基于负调查的云数据隐私的准确性
机译:用于轨迹感测,分析和匿名的几何算法
机译:连续葡萄糖监测的传感器和算法:连续监测数据中的葡萄糖预测算法:通过连续葡萄糖误差网格分析的准确性评估
机译:k-匿名概括算法调查