Private graph data release: A survey
The application of graph analytics to various domains has yielded tremendous societal and
economical benefits in recent years. However, the increasingly widespread adoption of …
economical benefits in recent years. However, the increasingly widespread adoption of …
A comprehensive analysis of privacy-preserving solutions developed for online social networks
Owning to the massive growth in internet connectivity, smartphone technology, and digital
tools, the use of various online social networks (OSNs) has significantly increased. On the …
tools, the use of various online social networks (OSNs) has significantly increased. On the …
The parameterized complexity of network microaggregation
Microaggregation is a classical statistical disclosure control technique which requires the
input data to be partitioned into clusters while adhering to specified size constraints. We …
input data to be partitioned into clusters while adhering to specified size constraints. We …
Global and local differentially private release of count-weighted graphs
Many complex natural and technological systems are commonly modeled as count-
weighted graphs, where nodes represent entities, edges model relationships between them …
weighted graphs, where nodes represent entities, edges model relationships between them …
Differentially private binary-and matrix-valued data query: An XOR mechanism
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 …
information on a database without compromising the privacy of individual data records in it …
Optimal binary differential privacy via graphs
We present the notion of reasonable utility for binary mechanisms, which applies to all utility
functions in the literature. This notion induces a partial ordering on the performance of all …
functions in the literature. This notion induces a partial ordering on the performance of all …
Dp-agm: a differential privacy preserving method for binary relationship in mobile networks
B Ning, X Zhang, S Gao, G Li - Mobile Networks and Applications, 2023 - Springer
The mobile network is a graph structure that models a set of objects (nodes) and their
relationships (edges). Recently, data mining methods have proliferated due to the strong …
relationships (edges). Recently, data mining methods have proliferated due to the strong …
dK-personalization: publishing network statistics with personalized differential privacy
Preserving privacy of an individual in network structured data while enhancing utility of
published data is one of the most challenging problems in data privacy. Moreover, different …
published data is one of the most challenging problems in data privacy. Moreover, different …
dK-projection: publishing graph joint degree distribution with node differential privacy
M Iftikhar, Q Wang - Pacific-Asia Conference on Knowledge Discovery and …, 2021 - Springer
Network data has great significance for commercial and research purposes. However, most
networks contain sensitive information about individuals, thereby requiring privacy …
networks contain sensitive information about individuals, thereby requiring privacy …
A Node Differential Privacy-Based Method to Preserve Directed Graphs in Wireless Mobile Networks
J Yan, Y Zhou, L Lu - Applied Sciences, 2023 - mdpi.com
With the widespread popularity of Wireless Mobile Networks (WMNs) in our daily life, the
huge risk to disclose personal privacy of massive graph structure data in WMNs receives …
huge risk to disclose personal privacy of massive graph structure data in WMNs receives …