The application of graph analytics to various domains has yielded tremendous societal and
economical benefits in recent years. However, the increasingly widespread adoption of …

Social network platform is the one where a huge number of information from social networks
are published and accessed by third parties or with advertising partners for better social …

Clustering is a fundamental problem in data analysis. In differentially private clustering, the
goal is to identify k cluster centers without disclosing information on individual data points …

Many complex natural and technological systems are commonly modeled as count-
weighted graphs, where nodes represent entities, edges model relationships between them …

Community detection is an effective approach to unveil relationships among individuals in
online social networks. In the literature, quite a few algorithms have been proposed to …

Abstract Internet of the Things (IoT) is being integrated into applications that are continuing
to reshape many elements of our daily life. One of the major application areas is the Internet …

We study the problem of releasing the weights of all-pairs shortest paths in a weighted
undirected graph with differential privacy (DP). In this setting, the underlying graph is fixed …

Community detection is an effective approach to unveil social dynamics among individuals
in social networks. In the literature, quite a few algorithms have been proposed to conduct …

In this paper, we develop a privacy implementation for symbolic control systems. Such
systems generate sequences of non-numerical data, and these sequences can be …

We revisit the problem of privately releasing the all-pairs shortest path distances of a
weighted undirected graph up to low additive error, which was first studied by Sealfon …