机译:RNN-DP:用于动态轨迹隐私保护的经常性神经网络的新差分隐私计划基础
Nanjing Univ Sci & Technol Sch Comp Sci & Engn Nanjing Peoples R China|Nanjing Univ Posts & Telecommun Jiangsu Key Lab Big Data Secur & Intelligent Proc Nanjing Peoples R China|Nanjing Univ Sci & Technol Div Informat Construct & Management Nanjing Peoples R China;
Nanjing Univ Sci & Technol Sch Comp Sci & Engn Nanjing Peoples R China|Nanjing Univ Posts & Telecommun Jiangsu Key Lab Big Data Secur & Intelligent Proc Nanjing Peoples R China;
Nanjing Univ Informat Sci & Technol Sch Comp & Software Nanjing Peoples R China;
Univ Technol Sydney Sch Software Sydney NSW Australia;
Nanjing Univ Posts & Telecommun Jiangsu Key Lab Big Data Secur & Intelligent Proc Nanjing Peoples R China;
Nanjing Univ Sci & Technol Sch Comp Sci & Engn Nanjing Peoples R China;
Differential privacy; Dynamic trajectory; Neural network; Data publishing;
机译:基于拉普拉斯差分隐私的有效航迹数据隐私保护方案
机译:人体传感器网络中敏感大数据的差分隐私保护方案
机译:基于移动社交网络查询交换的轨迹隐私保留方案
机译:基于差分隐私机制的轨迹数据隐私保护
机译:一种使用动态递归神经网络进行轨迹学习和控制系统设计的学习自动机方法。
机译:SPS和DPS:无线传感器网络中的两个新的基于网格的源位置隐私保护方案
机译:基于敏感度的移动社交网络个性化轨迹隐私保护计划研究