With the development of social platforms, the social network has aroused wide attention.
Since social networks contain a lot of personal sensitive information, many privacy …

Differential privacy has been widely adopted to release continuous-and scalar-valued
information on a database without compromising the privacy of individual data records in it …

With the integration of different fields, a large amount of heterogeneous data converges into
a heterogeneous network with different types of nodes and edges. Then it is published by …

Latent graph structure and stimulus of graph-structured data contain critical private
information, such as brain disorders in functional magnetic resonance imaging data, and …

With the development of Internet of medical things (IOMT), a lot of medical data are stored
and released for both scientific research and practical applications. Accurate medical data is …

In the Big Data era, the wide usage of mobile devices has led to large amounts of
information release and sharing through social networks, where sensitive information of the …

为了保护用户隐私, 社交网络图数据发布前通常对其进行匿名化操作. 然而, 现有的各种匿名技术
不能很好地保护用户隐私并且由于改变太大影响社交网络数据可用性. 提出一种满足差分隐私的 …

High-performance traffic flow prediction models provide reliable future road information and
optimize traffic navigation systems. However, the traffic data used for model learning …

In this article, the full differential privacy-preserving problem for switched LPV systems is
concerned. The security of a control system is the ability to avoid intentional sabotage or …

With the ever-increasing intertwining of social networks and daily existence, the
accumulation of personal privacy information is steadily mounting. However, the exposure of …